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Theory of Reasoned Action - Theory of Planned Behavior

Autor:innen:
Verlag:
 2021

Zusammenfassung

Wie lässt sich Verhalten erklären und vorhersagen, wie lässt es sich ändern? Antworten auf diese Fragen liefern Theory of Reasoned Action und Theory of Planned Behavior. Diese 2., aktualisierte und erweiterte Auflage des Lehrbuchs stellt die Theorien sowie verwandte und konkurrierende Ansätze vor, setzt sich systematisch mit ihrer Anwendbarkeit auf kommunikationswissenschaftliche Fragestellungen auseinander und liefert einen Überblick über aktuelle Befunde zu Mediennutzung, Adoption, Informationssuche, Medienwirkungen, KommunikatorInnenforschung und Gesundheitskommunikation.

Schlagworte

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Bibliographische Angaben

Copyrightjahr
2021
ISBN-Print
978-3-8487-4576-0
ISBN-Online
978-3-8452-8827-7
Verlag
Nomos, Baden-Baden
Reihe
Konzepte. Ansätze der Medien- und Kommunikationswissenschaft
Band
4
Sprache
Deutsch
Seiten
173
Produkttyp
Lehrbuch

Inhaltsverzeichnis

KapitelSeiten
  1. Titelei/Inhaltsverzeichnis Kein Zugriff 1 - 8
  2. Abbildungsverzeichnis Kein Zugriff 9 - 10
      1. Verhalten und Verhaltensintention Kein Zugriff
      2. Determinanten der Verhaltensintention Kein Zugriff
      3. Determinanten der Einstellung und subjektiven Norm Kein Zugriff
      4. Grenzen und Bedingungen für die Gültigkeit des Modells Kein Zugriff
    2. Theory of Planned Behavior Kein Zugriff
    3. Kritik Kein Zugriff
    1. Handlungstheorien und Rational Choice-Theorie Kein Zugriff
    2. Einstellungs-Verhaltens-Forschung Kein Zugriff
    3. TRA und TPB in der Kommunikationswissenschaft Kein Zugriff
      1. Methode Kein Zugriff
      2. Design Kein Zugriff
      3. Auswertung Kein Zugriff
    2. Operationalisierung der einzelnen Konstrukte Kein Zugriff
    1. Die frühe Forschung Kein Zugriff
      1. Mediennutzung Kein Zugriff
      2. Adoption neuer Medien Kein Zugriff
      3. Informationssuche Kein Zugriff
      4. Medienwirkung Kein Zugriff
      5. Kommunikator:innenforschung Kein Zugriff
      1. TPB und Gesundheitsverhalten Kein Zugriff
      2. TPB im Kontext weiterer gesundheitspsychologischer Verhaltensmodelle Kein Zugriff
    4. Ausblick Kein Zugriff
    1. Das MODE-Modell Kein Zugriff
      1. Theorie der begrenzten Rationalität Kein Zugriff
      2. Modell der Alltagsrationalität Kein Zugriff
      3. Nudging Kein Zugriff
      1. Rubikonmodell der Handlungsphasen Kein Zugriff
      2. Health Action Process Approach Kein Zugriff
  8. Kritik Kein Zugriff 122 - 128
  9. Literaturempfehlungen Kein Zugriff 129 - 170
  10. Bisher in der Reihe erschienene Bände Kein Zugriff 171 - 173

Literaturverzeichnis (431)

  1. Aaro, L. E., Flisher, A. J., Kaaya, S., Onya, H., Fuglesang, M., Klepp, K.-I. & Schaalma, H. (2006). Promoting sexual and reproductive health in early adolescence in South Africa and Tanzania: Development of a theory- and evidencebased intervention programme. Scandinavian Journal of Public Health, 34, 150-158. Google Scholar öffnen
  2. Abell, P. (Hrsg.) (1991). Rational choice theory. Cambridge: Cambridge University Press. Google Scholar öffnen
  3. Achtziger, A. & Gollwitzer, P. M. (2006). Motivation und Volition im Handlungsverlauf. In J. Heckhausen & H. Heckhausen (Hrsg.), Motivation und Handeln (S. 277-302). Heidelberg: Springer. Google Scholar öffnen
  4. Ajzen, I. (1971). Attitudinal vs. normative messages: An investigation of the differential effects of persuasive communications on behavior. Sociometry, 34, 263-280. Google Scholar öffnen
  5. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Hrsg.), Action-Control: From cognition to behavior (S. 11-39). Heidelberg: Springer. Google Scholar öffnen
  6. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. Google Scholar öffnen
  7. Ajzen, I. (2002a). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32, 665-683. Google Scholar öffnen
  8. Ajzen, I. (2002b). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and Social Psychology Review, 6, 107-122. Google Scholar öffnen
  9. Ajzen, I. (2005). Attitudes, personality and behavior. New York, NY: Open University Press. Google Scholar öffnen
  10. Ajzen, I. (2008). Consumer attitudes and behavior. In C. P. Haugtvedt, P. M. Herr & F. R. Cardes (Hrsg.), Handbook of Consumer Behavior (S. 525-548). New York: Erlbaum. Google Scholar öffnen
  11. Ajzen, I. (2010). Martin Fishbein (1936–2009). American Psychologist, 65, 296. doi: 10.1037/a0019275 Google Scholar öffnen
  12. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113-1127. Google Scholar öffnen
  13. Ajzen, I. (2015a). Consumer attitudes and behavior: The theory of planned behavior applied to food consumption decisions. Rivista di Economia Agraria, 70, 121-138. Google Scholar öffnen
  14. Ajzen, I. (2015b). The theory of planned behaviour is alive and well, and not ready to retire: A commentary on Sniehotta, Presseau, and Araújo-Soares. Health Psychology Review, 9, 131-137. Google Scholar öffnen
  15. Ajzen, I. (2021a). Behavioral interventions based on theory of planned behavior. https://people.umass.edu/aizen/pdf/tpb.intervention.pdf, letzter Zugriff: 23.06.2021. Google Scholar öffnen
  16. Ajzen, I. (2021b). Constructing a TPB questionnaire: Conceptual and methodological considerations. https://people.umass.edu/aizen/pdf/tpb.measurement.pdf, letzter Zugriff: 23.06.2021. Google Scholar öffnen
  17. Ajzen, I. (2021c). Icek Ajzen: Homepage. http://people.umass.edu/aizen, letzter Zugriff: 22.06.2021. Google Scholar öffnen
  18. Ajzen, I., Albarracín, D. & Hornik, R. (Hrsg.) (2007). Prediction and change of health behavior. Mahwah, NJ: Erlbaum. Google Scholar öffnen
  19. Ajzen, I. & Driver, B. L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24, 207-224. Google Scholar öffnen
  20. Ajzen, I. & Fishbein, M. (1969). The prediction of behavioral intentions in a choice situation. Journal of Experimental Social Psychology, 5, 400-416. Google Scholar öffnen
  21. Ajzen, I. & Fishbein, M. (1970). The prediction of behavior from attitudinal and normative variables. Journal of Experimental Social Psychology, 6, 466-487. Google Scholar öffnen
  22. Ajzen, I. & Fishbein, M. (1972). Attitudes and normative beliefs as factors influencing behavioral intentions. Journal of Personality and Social Psychology, 21, 1-9. Google Scholar öffnen
  23. Ajzen, I. & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behaviors. Journal of Personality and Social Psychology, 27, 41-57. Google Scholar öffnen
  24. Ajzen, I. & Fishbein, M. (1974). Factors influencing intentions and the intention-behavior relation. Human Relations, 27, 1-15. Google Scholar öffnen
  25. Ajzen, I. & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918. Google Scholar öffnen
  26. Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall. Google Scholar öffnen
  27. Ajzen, I. & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T. Johnson & M. P. Zanna (Hrsg.), The handbook of attitudes (S. 173-221). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  28. Ajzen, I. & Fishbein, M. (2008). Scaling and testing multiplicative combinations in the expectancy–value model of attitudes. Journal of Applied Social Psychology, 38, 2222-2247. Google Scholar öffnen
  29. Ajzen, I. & Kruglanski, A. W. (2019). Reasoned action in the service of goal pursuit. Psychological Review, 126, 774-786. Google Scholar öffnen
  30. Ajzen, I. & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474. Google Scholar öffnen
  31. Ajzen, I. & Manstead, A. S. R. (2007). Changing health-related behaviors: An approach based on the theory of planned behavior. In K. van den Bos, M. Hewstone, J. de Wit, H. Schut & M. Stroebe (Hrsg.), The scope of social psychology: Theory and applications (S. 43-63). New York: Psychology Press. Google Scholar öffnen
  32. Albarracín, D., Johnson, B. T., Fishbein, M. & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127, 142-161. Google Scholar öffnen
  33. Albarracín, D., McNatt, P. S., Klein, C. T. F., Ho, R. M., Mitchell, A. L. & Kumkale, G. T. (2003). Persuasive communications to change actions: An analysis of behavioral and cognitive impact in HIV prevention. Health Psychology, 22, 166-177. Google Scholar öffnen
  34. Albarracín, D., Gillette, J. C., Earl, A. N., Glasman, L. R., Durantini, M. R. & Ho, M.-H. (2005). A test of major assumptions about behavior change: A comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychological Bulletin, 131, 856-897. Google Scholar öffnen
  35. Alexandris, K., Barkoukis, V. & Tsormpatzoudis, C. (2007). Does the theory of planned behavior elements mediate the relationship between perceived constraints and intention to participate in physical activities? A study among older individuals. European Review of Aging and Physical Activity, 4, 39-48. Google Scholar öffnen
  36. Alzahrani, A. I., Mahmud, I., Ramayah, T., Alfarraj, O. & Alalwan, N. (2017). Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telematics & Informatics, 34, 239-251. Google Scholar öffnen
  37. Appiah, A. B., Tenkorang, E. Y. & Maticka-Tyndale, E. (2017). Modeling beliefs, attitudes, and intentions of condom use among secondary school students in Kenya. Archives of Sexual Behavior, 46, 1949-1960. Google Scholar öffnen
  38. Aricat, R. G., Karnowski, V. & Chib, A. (2015). Mobile phone appropriation and migrant acculturation: A case study of an Indian community in Singapore. International Journal of Communication, 9, 2221-2242. Google Scholar öffnen
  39. Armitage, C. J. (2015). Time to retire the theory of planned behaviour? A commentary on Sniehotta, Presseau and Araújo-Soares. Health Psychology Review, 9, 151-155. Google Scholar öffnen
  40. Armitage, C. J. & Christian, J. (2003). From attitudes to behaviour: Basic and applied research on the theory of planned behaviour. Current Psychology, 22, 187-195. Google Scholar öffnen
  41. Armitage, C. J. & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40, 471-499. Google Scholar öffnen
  42. Arnold, J., Loan-Clarke, J., Coombs, C., Wilkinson, A., Park, J. & Preston, D. (2006). How well can the theory of planned behavior account for occupational intentions? Journal of Vocational Behavior, 69, 374-390. Google Scholar öffnen
  43. Arora, S. & Sahney, S. (2018). Antecedents to consumers’ showrooming behaviour: An integrated TAM-TPB framework. Journal of Consumer Marketing, 35(4), 438-450. Google Scholar öffnen
  44. Arvola, A., Lähteenmäki, L. & Tuorila, H. (1999). Predicting the intent to purchase unfamiliar and familiar cheeses: The effect of attitudes, expected liking and food neophobia. Appetite, 32, 113-126. Google Scholar öffnen
  45. Austvoll-Dahlgren, A., Falk, R. S. & Helseth, S. (2012). Cognitive factors predicting intentions to search for health information: an application of the theory of planned behaviour. Health Information and Libraries Journal, 29, 296-308. Google Scholar öffnen
  46. Babrow, A. S. (1989). An expectancy-value analysis of the student soap opera audience. Communication Research, 16, 155-178. Google Scholar öffnen
  47. Babrow, A. S. & Swanson, D. L. (1988). Disentangling antecedents of audience exposure levels: Extending expectancy-value analyses of gratifications sought from television news. Communication Monographs, 55, 1-21. Google Scholar öffnen
  48. Backman, D. R., Haddad, E. H., Lee, J. W., Johnston, P. K. & Hodgkin, G. E. (2002). Psychosocial predictors of healthful dietary behavior in adolescents. Journal of Nutrition Education and Behavior, 34, 184-193. Google Scholar öffnen
  49. Bae, H. S. (2008). Entertainment-education and recruitment of cornea donors: The role of emotion and issue involvement. Journal of Health Communication, 13, 20-36. Google Scholar öffnen
  50. Bae, H. S. & Kang, S. (2008). The influence of viewing an entertainment-education program on cornea donation intention: A test of the theory of planned behavior. Health Communication, 23, 87-95. Google Scholar öffnen
  51. Bagozzi, R. P., Dholakia, U. M. & Mookerjee, A. (2006). Individual and group bases of social influence in online environments. Media Psychology, 8, 95-126. Google Scholar öffnen
  52. Bamberg, S., Ajzen, I. & Schmidt, P. (2003). Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit, and reasoned action. Basic and Applied Social Psychology, 25, 175-188. Google Scholar öffnen
  53. Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3, 265-299. Google Scholar öffnen
  54. Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31, 143-164. Google Scholar öffnen
  55. Beullens, K., Roe, K. & Van den Bulck, J. (2011). The impact of adolescents’ news and action movie viewing on risky driving behavior: A longitudinal study. Human Communication Research, 37, 488-508. Google Scholar öffnen
  56. Beullens, K., Roe, K. & Van den Bulck, J. (2012). Music video viewing as a marker of driving after the consumption of alcohol. Substance Use & Misuse, 47, 155-165. Google Scholar öffnen
  57. Bhochhibhoya, A. & Branscum, P. (2018). The application of the theory of planned behavior and the integrative behavioral model towards predicting and understanding alcohol-related behaviors: A systematic review. Journal of Alcohol and Drug Education, 62, 39-63. Google Scholar öffnen
  58. Blackburn, G. & Scharrer, E. (2019). Video game playing and beliefs about masculinity among male and female emerging adults. Sex Roles: A Journal of Research, 80, 310-324. Google Scholar öffnen
  59. Blanchard, C. M., Courneya, K. S., Rodgers, W. M., Daub, B. & Knapik, G. (2002). Determinants of exercise intention and behavior during and after phase 2 cardiac rehabilitation: An application of the theory of planned behavior. Rehabilitation Psychology, 47, 308-323. Google Scholar öffnen
  60. Blumler, J. G. & Katz, E. (Hrsg.) (1974). The uses of mass communications. Current perspectives on gratifications research. Beverly Hills, CA: Sage. Google Scholar öffnen
  61. Bortz, J. (1993). Statistik für Sozialwissenschaftler. Berlin, Heidelberg, New York: Springer. Google Scholar öffnen
  62. Brandl, A. (2004). Strukturgleichungsmodelle: Forschungslogik, Anwendung und Güteprüfung. In W. Wirth, E. Lauf & A. Fahr (Hrsg.), Forschungslogik und -design in der Kommunikationswissenschaft, Bd. 1 (S. 216-244). Köln: Herbert von Halem. Google Scholar öffnen
  63. Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47, 1191-1205. Google Scholar öffnen
  64. Brosius, H.-B. (1995). Alltagsrationalität in der Nachrichtenrezeption. Ein Modell zur Wahrnehmung und Verarbeitung von Nachrichteninhalten. Opladen: Westdeutscher Verlag. Google Scholar öffnen
  65. Brosius, H.-B., Haas, A. & Koschel, F. (2015). Methoden der empirischen Kommunikationsforschung. Eine Einführung (7. Aufl.). Wiesbaden: Springer VS. Google Scholar öffnen
  66. Buchthal, O. V., Doff, A. L., Hsu, L. A., Silbanuz, A., Heinrich, K. M. & Maddock, J. E. (2011). Avoiding a Knowledge Gap in a Multiethnic Statewide Social Marketing Campaign: Is Cultural Tailoring Sufficient? Journal of Health Communication, 16, 314-327. Google Scholar öffnen
  67. Büschges, G., Abraham, M. & Funk, W. (1998). Grundzüge der Soziologie. München, Wien: Oldenbourg. Google Scholar öffnen
  68. Callow, M. A., Callow, D. D. & Smith, C. (2020). Older adults’ intention to socially isolate once COVID-19 stay-at-home orders are replaced with “Safer-at-Home” public health advisories: A survey of respondents in Maryland. Journal of Applied Gerontology: The Official Journal of the Southern Gerontological Society, 39, 1175-1183. Google Scholar öffnen
  69. Carmack, H. J. & Heiss, S. N. (2018). Using the theory of planned behavior to predict college students’ intent to use LinkedIn for job searches and professional networking. Communication Studies, 69, 145-160. Google Scholar öffnen
  70. Carter, S. & Yeo, A. C.-M. (2016). Mobile apps usage by Malaysian business undergraduates and postgraduates. Internet Research, 26, 733-757. Google Scholar öffnen
  71. Cha, J. (2013). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics & Informatics, 30, 296-310. Google Scholar öffnen
  72. Chaiken, S., Liberman, A. & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Hrsg.), Unintended thought (S. 212-252). New York: Guilford Press. Google Scholar öffnen
  73. Chaiken, S. & Trope, Y. (Hrsg.) (1999). Dual-process theories in social psychology. New York, NY: Guilford Press. Google Scholar öffnen
  74. Chang, L., Yen, C. C., Xue, L., Tai, B. T., Chan, H. C., Duh, H. B.-L. & Choolani, M. (2017). Factors associated with mobile health information seeking among Singaporean women. Journal of Women & Aging, 29, 75-86. Google Scholar öffnen
  75. Chatzisarantis, N. L. D., Hagger, M. S., Biddle, S. J. H. & Karageorghis, C. (2002). The cognitive processes by which perceived locus of causality predicts participation in physical activity. Journal of Health Psychology, 7, 685-699. Google Scholar öffnen
  76. Chatzisarantis, N. L. D., Hagger, M. S. & Smith, B. (2006). Influences of perceived autonomy support on physical activity within the theory of planned behavior. European Journal of Social Psychology, 37, 934-954. Google Scholar öffnen
  77. Cheng, E. W. (2019). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development, 67, 21-37. Google Scholar öffnen
  78. Chia, S. C., Hairong, L., Detenber, B. & Waipeng, L. (2006). Mining the internet plateau: An exploration of the adoption intention of non-users in Singapore. New Media & Society, 8, 589-609. Google Scholar öffnen
  79. Chiang, L. & Huang, C. Y. (2007). Use of pirated compact discs on four college campuses: a perspective from theory of planned behavior. Psychological Reports, 101, 361-364. Google Scholar öffnen
  80. Chipojola, R., Chiu, H.-Y., Huda, M. H., Lin, Y.-M. & Kuo, S.-Y. (2020). Effectiveness of theory-based educational interventions on breastfeeding self-efficacy and exclusive breastfeeding: A systematic review and meta-analysis. International Journal of Nursing Studies, 109, 103675. doi: 10.1016/j.ijnurstu.2020.103675 Google Scholar öffnen
  81. Chirayil, E. I., Thompson, C. L. & Burney, S. (2014). Predicting Human Papilloma Virus vaccination and Pap smear screening intentions among young Singaporean women using the theory of planned behavior. SAGE Open, 4, 1-10. Google Scholar öffnen
  82. Christian, J. & Armitage, C. J. (2002). Attitudes and intentions of homeless people towards service provision in South Wales. British Journal of Social Psychology, 41, 219-231. Google Scholar öffnen
  83. Chu, S.-C., Chen, H.-T. & Sung, Y. (2016). Following brands on Twitter: An extension of theory of planned behavior. International Journal of Advertising, 35, 421-437. Google Scholar öffnen
  84. Cialdini, R. B. (2003). Crafting normative messages to protect the environment. Current Directions in Psychological Science, 12, 105-109. Google Scholar öffnen
  85. Cialdini, R. B., Reno, R. R. & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58, 1015-1026. Google Scholar öffnen
  86. Cingel, D. & Krcmar, M. (2013). Predicting media use in very young children: The role of demographics and parent attitudes. Communication Studies, 64, 374-394. Google Scholar öffnen
  87. Cohen, S. (2013). Nudging and informed consent. The American Journal of Bioethics, 13, 3-11. Google Scholar öffnen
  88. Coleman, J. S. & Fararo, T. J. (Hrsg.) (1992). Rational choice theory. Advocacy and critique. Newbury Park, CA: Sage. Google Scholar öffnen
  89. Conner, M. & Armitage, C. J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28, 1429-1464. Google Scholar öffnen
  90. Conner, M. & Flesch, D. (2001). Having casual sex: Additive and interactive effects of alcohol and condom availability on the determinants of intentions. Journal of Applied Social Psychology, 31, 89-112. Google Scholar öffnen
  91. Conner, M., Godin, G., Sheeran, P., & Germain, M. (2013). Some feelings are more important: Cognitive attitudes, affective attitudes, anticipated affect, and blood donation. Health Psychology, 32, 264-272. Google Scholar öffnen
  92. Cooper, C. P., Burgoon, M. & Roter, D. L. (2001). An expectancy-value analysis of viewer interest in television prevention news stories. Health Communication, 13, 227-240. Google Scholar öffnen
  93. Corey, S. M. (1937). Professed attitudes and actual behaviour. Journal of Educational Psychology, 28, 271-280. Google Scholar öffnen
  94. Crites, S. L., Fabrigar, L. R. & Petty, R. E. (1994). Measuring the affective and cognitive properties of attitudes: Conceptual and methodological issues. Personality and Social Psychology Bulletin, 20, 619-634. Google Scholar öffnen
  95. Daschmann, G. (2001). Der Einfluß von Fallbeispielen auf Leserurteile. Experimentelle Untersuchungen zur Medienwirkung. Konstanz: UVK. Google Scholar öffnen
  96. Davidson, A. R. & Jaccard, J. J. (1979). Variables that moderate the attitude-behaviour relation: Results of a longitudinal survey. Journal of Personality and Social Psychology, 37, 1364-1376. Google Scholar öffnen
  97. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-339. Google Scholar öffnen
  98. Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1002. Google Scholar öffnen
  99. Deci, E. L. & Ryan, R. M. (2000). The ‘What’ and ‘Why’ of goal pursuits: Human needs and the selfdetermination of behaviour. Psychological Inquiry, 11, 227-268. Google Scholar öffnen
  100. Deci, E. L. & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology/Psychologie Canadienne, 49, 182-185. Google Scholar öffnen
  101. de Leeuw, A., Valois, P., Ajzen, I. & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. Journal of Environmental Psychology, 42, 128-138. Google Scholar öffnen
  102. DeMaio, T. (1984). Social desirability and survey measurement: A review. In C. Turner & E. Martin (Hrsg.), Surveying subjective phenomena, Bd. 2 (S. 257-282). New York: Basic Books. Google Scholar öffnen
  103. Dermentzi, E. & Papagiannids, S. (2018). Academics’ intention to adopt online technologies for public engagement. Internet Research, 28, 191-212. Google Scholar öffnen
  104. Diekmann, A. (1996). Homo ÖKOnomicus. Anwendungen und Probleme der Theorie rationalen Handelns im Umweltbereich. In A. Diekmann & C. C. Jaeger (Hrsg.), Umweltsoziologie (S. 89-118). Opladen: Westdeutscher Verlag. Google Scholar öffnen
  105. Dillard, J. (2011). An Application of the integrative model to women’s intention to be vaccinated against HPV: Implications for message design. Health Communication, 26, 479-486. Google Scholar öffnen
  106. Doll, J. & Ajzen, I. (1992). Accessibility and stability of predictors in the theory of planned behavior. Journal of Personality and Social Psychology, 63, 754-765. Google Scholar öffnen
  107. Doll, J. & Hasebrink, U. (1989). Zum Einfluß von Einstellungen auf die Auswahl von Fernsehsendungen. In J. Groebel & P. Winterhoff-Spurk (Hrsg.), Empirische Medienpsychologie (S. 45-63). München: Psychologie-Verlags-Union. Google Scholar öffnen
  108. Doll, J., Petersen, L. & Rudolf, M. (2000). Determinanten der Internetnutzung von Gymnasiasten und Studenten: Eine Anwendung der Theorie geplanten und rollengesteuerten Verhaltens. Medienpsychologie, 12, 5-22. Google Scholar öffnen
  109. Downs, A. (1957). An economic theory of democracy. New York: Harper. Google Scholar öffnen
  110. Downs, D. S. & Hausenblas, H. A. (2005). The theories of reasoned action and planned behavior applied to exercise: A meta-analytic update. Journal of Physical Activity and Health, 2, 76-97. Google Scholar öffnen
  111. Dubé, E., Gagnon, D., Ouakki, M., Bettinger, J. A., Witteman, H. O., MacDonald, S., Fisher, W., Saini, V., Greyson, D., & Canadian Immunization Research Network (2018). Measuring vaccine acceptance among Canadian parents: A survey of the Canadian Immunization Research Network. Vaccine, 36, 545-552. Google Scholar öffnen
  112. Dulany, D. E. (1961). Hypotheses and habits in verbal "operant conditioning". Journal of Abnormal and Social Psychology, 63, 251-263. Google Scholar öffnen
  113. Dunckel, H. (1986). Handlungstheorie. In G. Rexilius & S. Grubitzsch (Hrsg.), Psychologie. Theorien - Methoden - Arbeitsfelder. Ein Grundkurs (S. 533-556). Reinbeck: Rowohlt. Google Scholar öffnen
  114. Eagly, A. H. & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace. Google Scholar öffnen
  115. Eckstein, K., Noack, P. & Gniewosz, B. (2013). Predictors of intentions to participate in politics and actual political behaviors in young adulthood. International Journal of Behavioral Development, 37, 428-435. Google Scholar öffnen
  116. Edwards, K. M., Gidycz, C. A. & Murphy, M. J. (2015). Leaving an abusive dating relationship: A prospective analysis of the investment model and theory of planned behavior. Journal of Interpersonal Violence, 30, 2908-2927. Google Scholar öffnen
  117. Edwards, H., Walsh, A., Courtney, M., Monaghan, S., Wilson, J. & Young, J. (2007). Promoting evidence-based childhood fever management through a peer education programme based on the theory of planned behaviour. Journal of Clinical Nursing, 16, 1966-1979. Google Scholar öffnen
  118. Elliott, M. A., Armitage, C. J. & Baughan, C. J. (2007). Using the theory of planned behavior to predict observed driving behavior. British Journal of Social Psychology, 46, 69-90. Google Scholar öffnen
  119. Engelmann, I. (2016). Gatekeeping. Baden-Baden: Nomos. Google Scholar öffnen
  120. Evers, A. & Sieverding, M. (2015). Academic career intention beyond the PhD: Can the theory of planned behavior explain gender differences? Journal of Applied Social Psychology, 45, 158-172. Google Scholar öffnen
  121. Ewoldsen, D. R., Rhodes, N. & Fazio, R. H. (2015). The MODE model and its implications for studying the media. Media Psychology, 18, 312-337. Google Scholar öffnen
  122. Faqah, A., Moiz, B., Shahid, F., Ibrahim, M. & Raheem, A. (2015). Assessment of blood donation intention among medical students in Pakistan ¬– An application of theory of planned behavior. Transfusion and Apheresis Science, 53, 353-359. Google Scholar öffnen
  123. Fazio, R. H. (1986). How attitudes guide behavior? In R. M. H. Sorrentino & E. T. Higgins (Hrsg.), Handbook of motivation and cognition: Foundations of social behavior (S. 204-243). New York: Guilford. Google Scholar öffnen
  124. Fazio, R. H. (1989). On the power and functionality of attitudes: The role of attitude accessibility. In A. R. Pratkanis, S. J. Breckler & A. G. Greenwald (Hrsg.), Attitude structure and function (S. 153-179). Hillsdale, NJ: Erlbaum. Google Scholar öffnen
  125. Fazio, R. H. (1990a). A practical guide to the use of response latency in social psychological research. In C. Hendrick & M. S. Clark (Hrsg.), Review of personality and social psychology (Bd. 11) (S. 74-97). Newbury Park, CA: Sage. Google Scholar öffnen
  126. Fazio, R. H. (1990b). Multiple processes by which attitudes guide behavior: The MODE model as an integrative framework. Advances in Experimental Social Psychology, 23, 75-109. Google Scholar öffnen
  127. Fazio, R. H. (1995). Attitudes as object-evaluation associations: Determinants, consequences, and correlates of attitude accessibility. In R. E. Petty & J. A. Krosnick (Hrsg.), Attitude strength: Antecedents and consequences (S. 247-282). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  128. Fazio, R. H. & Towles-Schwen, T. (1999). The MODE model of attitude-behavior processes. In S. Chaiken & Y. Trope (Hrsg.), Dual-process theories in social psychology (S. 97-116). New York, NY: Guilford Press. Google Scholar öffnen
  129. Feng, G. C., Du, X., Lin, Z., He, Y., Luo, N. & Zhang, Y. (2021). Determinants of technology acceptance: Two model-based meta-analytic reviews. Journalism & Mass Communication Quarterly, 98, 83-104. Google Scholar öffnen
  130. Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. Human Relations, 16, 233-239. Google Scholar öffnen
  131. Fishbein, M. (1965). The prediction of interpersonal preferences and group member satisfaction from estimated attitudes. Journal of Personality and Social Psychology, 1, 663-667. Google Scholar öffnen
  132. Fishbein, M. (1967). Attitude and the prediction of behavior. In M. Fishbein (Hrsg.), Readings in attitude theory and measurement (S. 477-492). New York: Wiley. Google Scholar öffnen
  133. Fishbein, M. (1980). A theory of reasoned action: Some applications and implications. In H. E. Howe & M. M. Page (Hrsg.), Beliefs, attitudes, and values (=Nebraska symposium on motivation, 1979, Bd. 27) (S. 195-259). Lincoln, NE: University of Nebraska Press. Google Scholar öffnen
  134. Fishbein, M. (1990). AIDS and behavior change: An analysis based on the theory of reasoned action. Interamerican Journal of Psychology, 24, 37-56. Google Scholar öffnen
  135. Fishbein, M. (2000). The role of theory in HIV prevention. AIDS Care, 12, 273-278. Google Scholar öffnen
  136. Fishbein, M. (2007). A reasoned action approach: Some issues, questions, and clarifications. In I. Ajzen, D. Albarracín & R. Hornik (Hrsg.), Prediction and change of health behavior. Applying the reasoned action approach (S. 281-295). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  137. Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior. An introduction to theory and research. Reading, MA: Addison-Wesley. Google Scholar öffnen
  138. Fishbein, M. & Ajzen, I. (2010). Predicting and changing behavior. The reasoned action approach. New York: Taylor & Francis. Google Scholar öffnen
  139. Fishbein, M. & Cappella, J. N. (2006). The role of theory in developing effective health communications. Journal of Communication, 56, S1-S17. Google Scholar öffnen
  140. Fishbein, M., Cappella, J. N., Hornik, R., Sayeed, S., Yzer, M. & Ahern, R. K. (2002). The role of theory in developing effective antidrug public service announcements. In W. D. Crano & M. Burgoon (Hrsg.), Mass media and drug prevention: Classic and contemporary theories and research (S. 89-117). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  141. Fishbein, M., Guenther-Grey, C., Johnson, W. D., Wolitski, R. J., McAlister, A., Rietmeijer, C. A. & O’Reilly, K. (1996). Using a theory-based community intervention to reduce AIDS risk behaviours: the CDC’s AIDS Community Demonstration Projects. In S. Oskamp & S. C. Thompson (Hrsg.), Understanding and preventing HIV risk behaviour: safer sex and drug use (S. 177-206). Thousand Oaks, CA: Sage. Google Scholar öffnen
  142. Fishbein, M., von Haeften, I. & Appleyard, J. (2001). The role of theory in developing effective interventions: Implications from Project SAFER. Psychology, Health & Medicine, 6, 223-238. Google Scholar öffnen
  143. Fishbein, M. & Yzer, M. C. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13, 164-183. Google Scholar öffnen
  144. Fisher, W. A., Fisher, J. D. & Rye, B. J. (1995). Understanding and promoting AIDS preventive behavior: Insights from the theory of reasoned action. Health Psychology, 14, 255-264. Google Scholar öffnen
  145. Frey, D., Stahlberg, D. & Gollwitzer, P. M. (2001). Einstellung und Verhalten: Die Theorie des überlegten Handelns und die Theorie des geplanten Verhaltens. In D. Frey & M. Irle (Hrsg.), Theorien der Sozialpsychologie (Bd. 1: Kognitive Theorien) (S. 361-398). Bern: Hans Huber. Google Scholar öffnen
  146. Fuchs, R., Seelig, H., Göhner, W., Schlatterer, M. & Ntoumanis, N. (2016). The two sides of goal intentions: Intention self-concordance and intention strength as predictors of physical activity. Psychology & Health, 32, 110-126. Google Scholar öffnen
  147. Gagné, C. & Gaston, G. (2000). The theory of planned behavior: Some measurement issues concerning belief-based variables. Journal of Applied Social Psychology, 30, 2173-2193. Google Scholar öffnen
  148. Galloway, J. J. & Meek, L. F. (1981). Audience uses and gratifications. An expectancy model. Communication Research, 8, 435-449. Google Scholar öffnen
  149. Gastil, J. (2000). Thinking, drinking, and driving: Application of the theory of reasoned action to DWI prevention. Journal of Applied Social Psychology, 30, 2217-2232. Google Scholar öffnen
  150. Gaube, S., Fischer, P. & Lermer, E. (2021). Hand(y) hygiene insights: Applying three theoretical models to investigate hospital patients’ and visitors’ hand hygiene behavior. PloS one, 16(1), e0245543. doi: 10.1371/journal.pone.0245543 Google Scholar öffnen
  151. Gehrau, V. (2017). Die Beobachtung als Methode in der Kommunikations- und Medienwissenschaft (2. Aufl.). Konstanz: UVK. Google Scholar öffnen
  152. Gerbner, G. & Gross, L. (1976). Living with television: The violence profile. Journal of Communication, 26, 173-199. Google Scholar öffnen
  153. Gerbner, G., Gross, L., Morgan, M. & Signorielli, N. (1986). Living with television: The dynamics of the cultivation process. In J. Bryant & D. Zillmann (Hrsg.), Perspectives on media effects (S. 17-40). Hillsdale, NJ: Lawrence Erlbaum. Google Scholar öffnen
  154. Gerbner, G., Gross, L., Morgan, M. & Signorielli, N. (1994). Growing up with television: The cultivation perspective. In J. Bryant & D. Zillmann (Hrsg.), Media effects. Advances in theory and research (S. 17-41). Hillsdale, NJ: Erlbaum. Google Scholar öffnen
  155. Ghasemzadeh, S., Babazadeh, T., Allahverdipour, H., Sadeghi-Bazargani, H., Kouzekanini, K. (2017). Cognitive-behavioral determinants of using helmet by motorcyclists in a rural community. Journal of Transport & Health, 6, 548-554. Google Scholar öffnen
  156. Giles, M. & Rea, A. (1999). Career self-efficacy: An application of the theory of planned behavior. Journal of Occupational and Organizational Psychology, 72, 393-398. Google Scholar öffnen
  157. Gillison, F. B., Rouse, P., Standage, M., Sebire, S. J. & Ryan, R. M. (2019). A meta-analysis of techniques to promote motivation for health behaviour change from a self-determination theory perspective. Health Psychology Review, 13, 110-130. Google Scholar öffnen
  158. Gollwitzer, P. M. (1996). Das Rubikonmodell der Handlungsphasen. In J. Kuhl & H. Heckhausen (Hrsg.), Motivation, Volition und Handlung (=Enzyklopädie der Psychologie, Teilband C/IV/4) (S. 531-582). Göttingen: Hogrefe. Google Scholar öffnen
  159. Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493-503. Google Scholar öffnen
  160. Gregorio-Pascual, P. & Mahler, H. I. M. (2020). Effects of interventions based on the theory of planned behavior on sugar-sweetened beverage consumption intentions and behavior. Appetite, 145, 104491. Google Scholar öffnen
  161. Gretebeck, K. A., Black, D. R., Blue, C. L., Glickman, L. T., Huston, S. A. & Gretebeck, R. J. (2007). Physical activity and function in older adults: Theory of planned behavior. American Journal of Health Behavior, 31, 203-214. Google Scholar öffnen
  162. Greif, S. (1983). Handlungstheoretische Ansätze. In D. Frey & S. Greif (Hrsg.), Sozialpsychologie. Ein Handbuch in Schlüsselbegriffen (S. 88-98). München: Urban & Schwarzenberg. Google Scholar öffnen
  163. Griffin, R. J., Dunwoody, S. & Neuwirth, K. (1999). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research, 80, 230–245. Google Scholar öffnen
  164. Greve, W. (2002). Handlungstheorien. In D. Frey & M. Irle (Hrsg.), Theorien der Sozialpsychologie (Bd. 2: Gruppen-, Interaktions- und Lerntheorien) (S. 300-325). Bern: Hans Huber. Google Scholar öffnen
  165. Guan, M., Coles, V. B., Samp, J. A., Sales, J. M., DiClemente, R. J. & Monahan, J. L. (2016). Incorporating communication into the theory of planned behavior to predict condom use among African American women. Journal of Health Communication, 21, 1046-1054. Google Scholar öffnen
  166. Guenther, L., Froehlich, K. & Ruhrmann, G. (2015). (Un)Certainty in the news: Journalists’ decisions on communicating the scientific evidence of nanotechnology. Journalism & Mass Communication Quarterly, 92, 199-220. Google Scholar öffnen
  167. Hagger, M. S., Chan, D. K. C., Protogerou, C. & Chatzisarantis, N. L. D. (2016). Using meta-analytic path analysis to test theoretical predictions in health behavior: An illustration based on meta-analyses of the theory of planned behavior. Preventive Medicine, 89, 154-161. Google Scholar öffnen
  168. Hagger, M. S. & Chatzisarantis, N. L. D. (2009). Integrating the theory of planned behaviour and self-determination theory in health behaviour: A meta-analysis. British Journal of Health Psychology, 14, 275-302. Google Scholar öffnen
  169. Hagger, M. S., Chatzisarantis, N. L. D., Barkoukis, V., Wang, C. K. J. & Baranowski, J. (2005). Perceived autonomy support in physical education and leisure-time physical activity: A cross-cultural evaluation of the trans-contextual model. Journal of Educational Psychology, 97, 376-390. Google Scholar öffnen
  170. Hagger, M. S., Chatzisarantis, N. L. D. & Biddle, S. J. H. (2002a). A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: Predictive validity and the contribution of additional variables. Journal of Sport and Exercise Psychology, 24, 3-32. Google Scholar öffnen
  171. Hagger, M. S., Chatzisarantis, N. L. D. & Biddle, S. J. H. (2002b). The influence of autonomous and controlling motives on physical activity intentions within the theory of planned behaviour. British Journal of Health Psychology, 7, 283-297. Google Scholar öffnen
  172. Hagger M. S., Polet, J. & Lintunen, T. (2018). The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling. Social Science & Medicine, 213, 85-94. Google Scholar öffnen
  173. Ham, C. D., Lee, J., & Lee, H. S. (2014). Understanding consumers’ creating behaviour in social media: An application of uses and gratifications and the theory of reasoned action. International Journal of Internet Marketing and Advertising, 8, 241. doi: 10.1504/IJIMA.2014.067652 Google Scholar öffnen
  174. Hankins, M., French, D. & Horne, R. (2000). Statistical guidelines for studies of the theory of reasoned action and the theory of planned behavior. Psychology and Health, 15, 151-161. Google Scholar öffnen
  175. Hardeman, W., Johnston, M., Johnston, D. W., Bonetti, D., Wareham, N. J. & Kinmonth, A. L. (2002). Application of the theory of planned behavior in behavior change interventions: A systematic review. Psychology and Health, 19, 123-158. Google Scholar öffnen
  176. Hardeman, W., Prevost, A. T., Parker, R. A. & Sutton, S. (2013). Constructing multiplicative measures of beliefs in the theory of planned behaviour. British Journal of Health Psychology, 18, 122-138. Google Scholar öffnen
  177. Hardeman, W., Sutton, S., Griffin, S., Johnston, M., White, A., Wareham, N. J. & Kinmonth, A. L. (2005). A causal modelling approach to the development of theory-based behaviour change programmes for trial evaluation. Health Education Research, 20, 676-687. Google Scholar öffnen
  178. Hartmann, T. (2009). Action theory, theory of planned behavior and media choice. In T. Hartmann (Hrsg.), Media choice: A theoretical and empirical overview (S. 32-52). New York, NY: Routledge. Google Scholar öffnen
  179. Hartmann, T., Vorderer, P. & Jung, Y. (2009). Reviving action-oriented research on media choice. Vortragspaper präsentiert auf der 59. Jahrestagung der International Communication Association, Chicago, 21.-25. Mai 2009. Google Scholar öffnen
  180. Hasebrink, U. & Doll, J. (1990). Zur Programmauswahl von Fernsehzuschauern. Die Bedeutung von Einstellungen gegenüber Sendungstypen. Rundfunk und Fernsehen, 38, 21-36. Google Scholar öffnen
  181. Hassan, L. M., Shiu, E. & Parry, S. (2016). Addressing the cross‐country applicability of the theory of planned behaviour (TPB): A structured review of multi‐country TPB studies. Journal of Consumer Behaviour, 15, 72-86. Google Scholar öffnen
  182. Hausenblas, H. A., Carron, A. V. & Mack, D. E. (1997). Application of the theories of reasoned action and planned behavior to exercise behavior: A meta-analysis. Journal of Sport and Exercise Psychology, 19, 36-51. Google Scholar öffnen
  183. Haustein, S. & Hunecke, M. (2007). Reduced use of environmentally friendly modes of transportation caused by perceived mobility necessities: An extension of the theory of planned behavior. Journal of Applied Social Psychology, 37, 1856-1883. Google Scholar öffnen
  184. Hawai State Department of Health (2021). Step It Up Hawaii Media Campaign. https://www.healthyhawaii.com/get-active, letzter Zugriff: 19.06.2021. Google Scholar öffnen
  185. Hawkins, R. P. & Pingree, S. (1982). Television’s influence on social reality. In D. Pearl, L. Bouthilet & J. B. Lazar (Hrsg.), Television and behavior. Ten years of scientific progress and implications for the eighties, Vol. 2 (S. 224-247). Rockville, MD: National Institute of Mental Health. Google Scholar öffnen
  186. Heap, S. P. H. & Varoufakis, Y. (1995). Game theory. A critical introduction. London, New York: Routledge. Google Scholar öffnen
  187. Heath, Y. & Gifford, R. (2002). Extending the theory of planned behavior: Predicting the use of public transportation. Journal of Applied Social Psychology, 32, 2154-2189. Google Scholar öffnen
  188. Heckhausen, H., Gollwitzer, P. M. & Weinert, F. E. (Hrsg.) (1987). Jenseits des Rubikon: Der Wille in den Humanwissenschaften. Berlin: Springer. Google Scholar öffnen
  189. Herrmann, L. K. & Kim, J. (2017). The fitness of apps: A theory-based examination of mobile fitness app usage over 5 months. MHealth, 3, 1-9. doi: 10.21037/mhealth.2017.01.03 Google Scholar öffnen
  190. Hermann, C., Liang, C. T. H. & DeSipio, B. E. (2018). Exploring sexual consent and hostile masculine norms using the theory of planned behavior. Psychology of Men & Masculinity, 19, 491-499. Google Scholar öffnen
  191. Hessing, D. J., Elifers, H. & Weigel, R. H. (1988). Exploring the limits of self-reports and reasoned action: An investigation of the psychology of tax evasion behavior. Journal of Personality and Social Psychology, 54, 405-413. Google Scholar öffnen
  192. Higgins, C. A., Galavotti, C., O’Reilly, K. & Sheridan, J. (1997). Evolution and development of the AIDS Community Demonstration Projects. In N. H. Corby & R. J. Wolitski (Hrsg.), Community HIV prevention: the long Beach AIDS Community Demonstration Project (S. 5-20). California State University, CA: The University Press. Google Scholar öffnen
  193. Higgins, E. T. & King, G. A. (1981). Accessibility of social constructs: Information processing consequences of individual and contextual variability. In N. Cantor & J. F. Kihlstrom (Hrsg.), Personality, cognition and social interaction (S. 69-121). Hillsdale, NJ: Lawrence Erlbaum. Google Scholar öffnen
  194. Hippler, H.-J., Schwarz, N., Noelle-Neumann, E., Knäuper, B. & Clark, L. (1991). Der Einfluß numerischer Werte auf die Bedeutung verbaler Skalenpunkte. ZUMA-Nachrichten, 15, 54-65. Google Scholar öffnen
  195. Ho, S. S., Detenber, B. H., Rosenthal, S. & Lee, E. W. J. (2014). Seeking information about climate change: Effects of media use in an extended PRISM. Science Communication, 36, 270-295. Google Scholar öffnen
  196. Ho, S. S., Lee, W. & Hameed, S. S. (2008). Muslim surfers on the internet: Using the theory of planned behaviour to examine the factors influencing engagement in online religious activities. New Media & Society, 10, 93-113. Google Scholar öffnen
  197. Ho, S. S., Liao, Y. & Rosenthal, S. (2015). Applying the theory of planned behavior and media dependency theory: Predictors of public pro-environmental behavioral intentions in Singapore. Environmental Communication, 9, 77-99. Google Scholar öffnen
  198. Hogarth, R. M. & Reder, M. W. (Hrsg.) (1987). Rational choice. The contrast between economics and psychology. Chicago, London: University of Chicago Press. Google Scholar öffnen
  199. Holmes, M. M., Bishop, F. L., & Calman, L. (2017). “I just googled and read everything”: Exploring breast cancer survivors’ use of the internet to find information on complementary medicine. Complementary Therapies in Medicine, 33, 78-84. Google Scholar öffnen
  200. Haagsma, M. C., King, D. L., Pieterse, M. E. & Peters, O. (2013). Assessing problematic video gaming using the theory of planned behavior: A longitudinal study of Dutch young people. International Journal of Mental Health and Addiction, 11, 172-185. Google Scholar öffnen
  201. Hovick, S. R., Kahlor, L. & Liang, M.-C. (2014). Personal cancer knowledge and information seeking through PRISM: The planned risk information seeking model. Journal of Health Communication, 19, 511-527. Google Scholar öffnen
  202. Hsu, C.-L., Chen, M.-C. & Lin, Y.-H. (2017). Information technology adoption for sustainable development: Green e-books as an example. Information Technology for Development, 23, 261-280. Google Scholar öffnen
  203. Hubner, A. Y. & Hovick, S. R. (2020). Understanding risk information seeking and processing during an infectious disease outbreak: The case of Zika virus. Risk Analysis. doi: 10.1111/risa.13456 Google Scholar öffnen
  204. Humphreys, L., von Pape, T. & Karnowski, V. (2013). Evolving mobile media: Uses and conceptualizations of the mobile internet. Journal of Computer-Mediated Communication, 18, 491-507. Google Scholar öffnen
  205. Hung, S.-Y., Ku, C.-Y. & Chang, C.-M. (2003). Critical factors of WAP services adoption: An empirical study. Electronic Commerce Research and Applications, 2, 42-60. Google Scholar öffnen
  206. Jäckel, M. (1992). Mediennutzung als Niedrigkostensituation. Anmerkungen zum Nutzen- und Belohnungsansatz. Medienpsychologie, 4, 246-266. Google Scholar öffnen
  207. Jemmott, J. B., Jemmott, L. S. & Fong, G. T. (1992). Reductions in HIV risk – associated sexual behaviors among black male adolescents: Effects of an AIDS prevention intervention. American Journal of Public Health, 82, 372-377. Google Scholar öffnen
  208. Johnson Avery, E. (2007). An application of the theory of planned behavior to understand voting behaviors of the young electorate. Vortragspaper präsentiert auf der 57. Jahrestagung der International Communication Association, San Francisco, 24.-28. Mai 2007. Google Scholar öffnen
  209. Johnson, E. J., Hassin, R., Baker, T., Bajger, A. T. & Treuer, G. (2013). Can Consumers Make Affordable Care Affordable? The Value of Choice Architecture. PLoS ONE, 8, e81521. doi: 10.1371/journal.pone.0081521 Google Scholar öffnen
  210. Johnson-Young, E. A. (2018). Predicting intentions to breastfeed for three months, six months, and one year using the theory of planned behavior and body satisfaction. Health Communication, 34, 789-800. Google Scholar öffnen
  211. Jonas, K. & Doll, J. (1996). Eine kritische Bewertung der Theorie des überlegten Handelns und der Theorie des geplanten Verhaltens. Zeitschrift für Sozialpsychologie, 27, 18-31. Google Scholar öffnen
  212. Kahlor, L. (2010). PRISM: A planned risk information seeking model. Health Communication, 25, 345-356. Google Scholar öffnen
  213. Kahlor, L. A., Yang, J., Li, X., Wang, W., Olson, H. C. & Atkinson, L. (2020). Environmental risk (and benefit) information seeking intentions: The case of carbon capture and storage in Southeast Texas. Environmental Communication, 14, 555-572. Google Scholar öffnen
  214. Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus and Giroux. Google Scholar öffnen
  215. Kalichman, S. C. (2007). The theory of reasoned action and advances in HIV/AIDS. In I. Ajzen, D. Albarracín & R. Hornik (Hrsg.), Prediction and change of health behavior. Applying the reasoned action approach (S. 265-272). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  216. Kamb, M. L., Fishbein, M., Douglas, J. M., Rhodes, F., Rogers, J., Bolan, G., Zenilman, J., Hoxworth, T., Malotte, K., Iatesta, M., Kent, C., Lentz, A., Graziano, S., Byers, R. H. & Peterman, T. A. (1998). Efficacy of risk-reduction counseling to prevent human immunodeficiency virus and sexually transmitted diseases. Journal of the American Medical Association, 280, 1161-1167. Google Scholar öffnen
  217. Kaplan, D. (2000). Structural equation modeling: Foundations and extensions. Thousand Oaks, CA: Sage. Google Scholar öffnen
  218. Karnowski, V. (2017). Diffusionstheorie (2. Aufl.). Baden-Baden: Nomos. Google Scholar öffnen
  219. Karnowski, V., Leonhard, L. & Kümpel, A. S. (2018). Why users share the news: A theory of reasoned action-based study on the antecedents of news-sharing behavior. Communication Research Reports, 35, 91-100. Google Scholar öffnen
  220. Kasprzyk, D. & Montano, D. E. (2007). Application of an integrated behavioral model to understand HIV prevention behavior of high-risk men in rural Zimbabwe. In I. Ajzen, D. Albarracín & R. Hornik (Hrsg.), Prediction and change of health behavior. Applying the reasoned action approach (S. 149-172). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  221. Kasprzyk, D., Montano, D. E. & Fishbein, M. (1998). Application of an Integrated Behavioral Model to predict condom use: A prospective study among high HIV risk groups. Journal of Applied Social Psychology, 28, 1557-1583. Google Scholar öffnen
  222. Kim, Y. (2011). Understanding j-blog adoption: Factors influencing Korean journalists’ blog adoption. Asian Journal of Communication, 21, 25-46. Google Scholar öffnen
  223. Kim, E., Lee, J.-A., Sung, Y. & Choi, S. M. (2016). Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior. Computers in Human Behavior, 62, 116-123 Google Scholar öffnen
  224. Kim, J., Namkoong, K. & Chen, J. (2020). Predictors of online news-sharing intention in the U.S. and South Korea: An application of the theory of reasoned action. Communication Studies, 71, 315-331. Google Scholar öffnen
  225. Kink, N. & Hess, T. (2008). Search Engines as Substitutes for Traditional Information Sources? An Investigation of Media Choice. Information Society, 24, 18-29. Google Scholar öffnen
  226. Kinnally, W. & Bolduc, H. (2020). Integrating the theory of planned behavior and uses and gratifications to understand music streaming intentions and behavior. Atlantic Journal of Communication, 28, 165-179. Google Scholar öffnen
  227. Kirchgässner, G. (2008). Homo oeconomicus: Das ökonomische Modell individuellen Verhaltens und seine Anwendung in den Wirtschafts- und Sozialwissenschaften. Tübingen: Mohr Siebeck. Google Scholar öffnen
  228. Klimmt, C. & Rosset, M. (2020). Das Elaboration-Likelihood-Modell (2. Aufl.). Baden-Baden: Nomos. Google Scholar öffnen
  229. Krämer, B. (2021). Fallbeispieleffekte (2. Aufl.). Baden-Baden: Nomos. Google Scholar öffnen
  230. Krampen, G. (2000). Handlungstheoretische Persönlichkeitspsychologie. Göttingen: Hogrefe. Google Scholar öffnen
  231. Kraus, S. J. (1995). Attitudes and the prediction of behaviour: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21, 58-75. Google Scholar öffnen
  232. Kroeber-Riel, W. & Weinberg, P. (1999). Konsumentenverhalten. München: Vahlen. Google Scholar öffnen
  233. Krupat, E., Camargo, C. A. Jr., Strewler, G. J., Espinola, J. A., Fleenor, T. J. Jr. & Dienstag, J. L. (2017). Factors associated with physicians’ choice of a career in research: A retrospective report 15 years after medical school graduation. Advances in Health Sciences Education, 22, 5-15. Google Scholar öffnen
  234. Lai, H.-M., Chen, C.-P. & Chang, Y.-F. (2014). Determinants of knowledge seeking in professional virtual communities. Behaviour & Information Technology, 33, 522-535 Google Scholar öffnen
  235. Lampert, C. (2007). Gesundheitsförderung im Unterhaltungsformat. Wie Jugendliche gesundheitsbezogene Botschaften in fiktionalen Fernsehprogrammen wahrnehmen und bewerten. Baden-Baden: Nomos. Google Scholar öffnen
  236. Lanzini, P., & Khan, S. A. (2017). Shedding light on the psychological and behavioral determinants of travel mode choice: A meta-analysis. Transportation Research Part F: Traffic Psychology and Behaviour, 48, 13-27. Google Scholar öffnen
  237. LaPiere, R. T. (1934). Attitudes vs. actions. Social Forces, 13, 230-237. Google Scholar öffnen
  238. Lasswell, H. D. (1948). The structure and function of communication in society. In L. Bryson (Hrsg.), The communication of ideas. A series of addresses (S. 32-51). New York: Harper & Bros. Wiederabgedruckt in M. Gottschlich (Hrsg.) (1987), Massenkommunikationsforschung. Theorieentwicklung und Problemperspektiven (S. 17-26). Wien: Braumüller. Google Scholar öffnen
  239. Lee, H.-S. (2013). Predicting and understanding undergraduate students’ intentions to gamble in a casino using an extended model of the theory of reasoned action and the theory of planned behavior. Journal of Gambling Studies, 29, 269-288. Google Scholar öffnen
  240. Lee, M. C. (2010). Explaining and predicting users’ continuance intention towards e-learning: An extension of the expectation-conformation model. Computers & Education, 54, 506-516. Google Scholar öffnen
  241. Lee, A. M., Coleman, R. & Molyneux, L. (2016). From thinking to doing: Effects of different social norms on ethical behavior in journalism. Journal of Media Ethics, 31, 72-85. Google Scholar öffnen
  242. Lee, S. K., Karnowski, V., von Pape, T. & Cionea, I. A. (2016). An English scale for measuring mobile phone appropriation: Translation and assessment. Studies in Communication | Media, 5(4), 397-426. Google Scholar öffnen
  243. Lee, J. H., Kim, J. H. & Hong, J. H. (2010). A comparison of adoption models for new mobile media services between high- and low-motive groups. International Journal of Mobile Communications, 8, 487-506. Google Scholar öffnen
  244. Lee, P. H., Kuo, S. Y., Ou, T. S., Lin, Y. K., Chi, M. J., Chen, S. R., Lin, P.C. & Lai, H. R. (2020). Predicting exercise intentions and behaviors of Taiwanese children in a longitudinal sample. Journal of pediatric nursing, 51, e50-e56. Google Scholar öffnen
  245. Lemay, E. P. Jr., O’Brien, K. M., Kearney, M. S., Sauber, E. W. & Venaglia, R. B. (2019). Using conformity to enhance willingness to intervene in dating violence: A theory of planned behavior analysis. Psychology of Violence, 9, 400-409. Google Scholar öffnen
  246. Lepre, C. R. (2007). Getting through to them: Reaching students who need career counseling. The Career Development Quarterly, 56, 74-84. Google Scholar öffnen
  247. Leung, L. & Chen, C. (2017). Extending the theory of planned behavior: A study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV. Telematics & Informatics, 34, 1638-1649. Google Scholar öffnen
  248. Li, M. & Chapman, G. B. (2013). Nudge to Health: Harnessing decision research to promote health behavior. Social and Personality Psychology Compass, 7, 187-198. Google Scholar öffnen
  249. Li, A. S. W., Figg, G. & Schüz, B. (2019). Socioeconomic status and the prediction of health promoting dietary behaviours: A systematic review and meta‐analysis based on the theory of planned behaviour. Applied Psychology: Health and Well-Being, 11, 382-406. Google Scholar öffnen
  250. Lin, H.-F. (2006). Understanding behavioral intention to participate in virtual communities. Cyberpsychology & Behavior, 9, 540-547. Google Scholar öffnen
  251. Lin, T. T. C., Younbo, J. & Sim, C. (2015). Towards an understanding of intention to use mobile videos: Impression management, perceived facilitation, and social norms. Mobile Media & Communication, 3, 106-124. Google Scholar öffnen
  252. Lin, X., Featherman, M. & Sarker, S. (2013). Information sharing in the context of social media: An application of the theory of reasoned action and social capital theory. Proceedings of the 2013 AIS SIGHCI Workshop on HCI Research in MIS, 1-5. Google Scholar öffnen
  253. Link, E. (2019). Vertrauen und die Suche nach Gesundheitsinformationen. Eine empirische Untersuchung des Informationshandelns von Gesunden und Erkrankten. Wiesbaden: Springer VS. Google Scholar öffnen
  254. Loken, B. (1983). The theory of reasoned action: Examination of the sufficiency assumption for a television viewing behavior. Advances in Consumer Research, 10, 100-105. Google Scholar öffnen
  255. Lowe-Calverley, E. & Grieve, R. (2018). Self-ie love: Predictors of image editing intentions on Facebook. Telematics & Informatics, 35, 186-194. Google Scholar öffnen
  256. Lu, Y., Zhou, T. & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25, 29-39. Google Scholar öffnen
  257. Lucero‐Romero, G. & Arias‐Bolzmann, L. G. (2020). Millennials’ use of online social networks for job search: The Ecuadorian case. Psychology & Marketing, 37, 359-368. Google Scholar öffnen
  258. Madden, T. J., Ellen, P. S. & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18, 3-9. Google Scholar öffnen
  259. Maddock, J. E., Silbanuz, A. & Reger-Nash, B. (2008). Formative research to develop a mass media campaign to increase physical activity and nutrition in multiethnic state. Journal of Health Communication, 13, 208-215. Google Scholar öffnen
  260. Maier, M., Retzbach, J., Glogger, I. & Stengel, K. (2018). Nachrichtenwerttheorie (2. Aufl.). Baden-Baden: Nomos. Google Scholar öffnen
  261. Manning, M. (2009). The effects of subjective norms on behaviour in the theory of planned behaviour: A meta-analysis. British Journal of Social Psychology, 48, 649-705. Google Scholar öffnen
  262. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191. Google Scholar öffnen
  263. Matterne, U., Diepgen, T. L. & Weisshaar, E. (2011). A longitudinal application of three health behaviour models in the context of skin protection behaviour in individuals with occupational skin disease. Psychology & Health, 26, 1188-1207. Google Scholar öffnen
  264. McEachan, R. R., Conner, M., Taylor, N. J. & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5, 97-144. Google Scholar öffnen
  265. Maxian, W. (2007). Personal news agenda, interpersonal networks, and news access: What the TRA can explain. Vortragspaper präsentiert auf der 57. Jahrestagung der International Communication Association, San Francisco, 24.-28. Mai 2007. Google Scholar öffnen
  266. McAlister, A. L., Perry, C. L. & Parcel, G. S. (2008). How individuals, environments, and health behaviors interact: Social cognitive theory. In K. Glanz, B. K. Rimer & K. Viswanath (Hrsg.), Health behavior and health education: Theory, research, and practice (S. 167-188). San Francisco, CA: Wiley & Sons. Google Scholar öffnen
  267. Meltzer, C. E. (2019). Kultivierungsforschung. Baden-Baden: Nomos. Google Scholar öffnen
  268. Menozzi, D., Sogari, G., Veneziani, M., Simoni, E., Mora, C. (2017). Eating novel food: An application of the theory of planned behaviour to predict the consumption of an insect-based product. Food Quality and Preference, 59, 27-34. Google Scholar öffnen
  269. Merikivi, J., Verhagen, T. & Feldberg, F. (2013). Having belief(s) in social virtual worlds: A decomposed approach. New Media & Society, 15, 1168-1188. Google Scholar öffnen
  270. Metag, J. (2020). What drives science media use? Predictors of media use for information about science and research in digital information environments. Public Understanding of Science, 29, 561-578. Google Scholar öffnen
  271. Meyer, P., Kayser, B., Kossovsky, M. P., Sigaud, P., Carballo, D., Keller, P.-F., Martin, X. E., Farpour-Lambert, N., Pichard, C. & Mach, F. (2010). Stairs instead of elevators at workplace: cardioprotective effects of a pragmatic intervention. European Journal of Cardiovascular Prevention and Rehabilitation, 17, 569-575. Google Scholar öffnen
  272. Millar, R. & Shevlin, M. (2003). Predicting career information-seeking behavior of school pupils using the theory of planned behavior. Journal of Vocational Behavior, 62, 26-42 Google Scholar öffnen
  273. Mitchell, G. & Grieve, R. (2020). Using Facebook to gain health information and support: How attitude, norms, and locus of control predict women’s intentions. Australian Psychologist, 55, 670-685. Google Scholar öffnen
  274. Möhring, W. & Schlütz, D. (2010). Die Befragung in der Medien- und Kommunikationswissenschaft. Eine praxisorientierte Einführung (2. Aufl.). Wiesbaden: Springer VS. Google Scholar öffnen
  275. Montanaro, E. A. & Bryan, A. D. (2014). Comparing theory-based condom interventions: Health belief model versus theory of planned behavior. Health Psychology, 33, 1251-1260. Google Scholar öffnen
  276. Montano, D. E. & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In K. Glanz, B. K. Rimer & K. Viswanath (Hrsg.), Health behavior: Theory, research, and practice (S. 96-124). San Francisco: Jossey-Bass. Google Scholar öffnen
  277. Morgan, M., Deedat S. & Kenten, C. (2015). ‘Nuging’ registration as an organ donor: Implications of changes in choice contexts for socio-cultural groups. Current Sociology Monograph, 63, 714-728. Google Scholar öffnen
  278. Morren, M. & Grinstein, A. (2016). Explaining environmental behavior across borders: A meta-analysis. Journal of Environmental Psychology, 47, 91-106. Google Scholar öffnen
  279. Mou, Y. & Lin, C. A. (2015). Exploring podcast adoption intention via perceived social norms, interpersonal communication, and theory of planned behavior. Journal of Broadcasting & Electronic Media, 59, 475-493. Google Scholar öffnen
  280. Muk, A. (2007). Consumers’ intentions to opt in to SMS advertising. International Journal of Advertising, 26, 177-198. Google Scholar öffnen
  281. Nabi, R. L. & Sullivan, J. L. (2001). Does television viewing relate to engagement in protective action against crime? A cultivation analysis from a theory of reasoned action perspective. Communication Research, 28, 802-825. Google Scholar öffnen
  282. Niepel, C., Burrus, J., Greiff, S., Lipnevich, A. A., Brenneman, M. W. & Roberts, R. D. (2018). Students’ beliefs and attitudes toward mathematics across time: A longitudinal examination of the theory of planned behavior. Learning and Individual Differences, 63, 24-33. Google Scholar öffnen
  283. Niu, Z., Willoughby, J. F., Mei, J., Li, S. & Hu, P. (2020). A cross-cultural comparison of an extended planned risk information seeking model on mental health among college students: Cross-sectional study. Journal of Medical Internet Research, 22, e15817. doi: 10.2196/15817 Google Scholar öffnen
  284. Norman, P., Webb, T. L. & Millings, A. (2019). Using the theory of planned behaviour and implementation intentions to reduce binge drinking in new university students. Psychology & Health, 34, 478-496. Google Scholar öffnen
  285. Nosek, B. A., Graham, J., Lindner, N. M., Kesebir, S., Hawkins, C. B., Hahn, C., Schmidt, K., Motyl, M., Joy-Gaba, J., Frazier, R. & Tenney, E. R. (2010). Cumulative and career-stage citation impact in social-personality psychology programs and their members. Personality and Social Psychology Bulletin, 36, 1283-1300. Google Scholar öffnen
  286. Oliver, M. B. (2009). Affect as a predictor of entertainment choice: The utility of looking beyond pleasure. In T. Hartmann (Hrsg.), Media choice: A theoretical and empirical overview (S. 167-184). New York, NY: Routledge. Google Scholar öffnen
  287. Orbell, S., Hodgkins, S. & Sheeran, P. (1997). Implementation intentions and the theory of planned behavior. Personality and Social Psychology Bulletin, 23, 945-954. Google Scholar öffnen
  288. Osberg, T. M. & Shrauger, J. S. (1986). Retrospective versus prospective judgments of self and others’ behavior. Journal of Social Psychology, 126, 169-178. Google Scholar öffnen
  289. Osgood, C. E., Suci, G. J. & Tannenbaum, P. H. (1957). The measurement of meaning. Urbana, IL: University of Illinois Press. Google Scholar öffnen
  290. Ouellette, J. A. & Wood, W. (1998). Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124, 54-74. Google Scholar öffnen
  291. Palmgreen, P. & Rayburn, J. D. (1982). Gratifications sought and media exposure. An expectancy value model. Communication Research, 9, 561-580. Google Scholar öffnen
  292. Palmgreen, P. & Rayburn, J. D. (1983). A response to Stanford. Communication Research, 10, 253-257. Google Scholar öffnen
  293. Papies, D. & Clement, M. (2008). Adoption of new movie distribution services on the internet. Journal of Media Economics, 21, 131-157. Google Scholar öffnen
  294. Park, N., Jung, Y. & Lee, K. M. (2011). Intention to upload video content on the internet: The role of social norms and ego-involvement. Computers in Human Behavior, 27, 1996-2004. Google Scholar öffnen
  295. Pellino, T. A. (1997). Relationships between patient attitudes, subjective norms, perceived control, and analgesic use following elective orthopedic surgery. Research in Nursing & Health, 20, 97-105. Google Scholar öffnen
  296. Peng, T.-Q., Zhu, J. J. H., Tong, J.-J. & Jiang, S.-J. (2012). Predicting internet non-users’ adoption intention and adoption behavior. Information, Communication & Society, 15, 1236-1257. Google Scholar öffnen
  297. Perse, E. M. (2001). Media effects and society. Mahwah, NJ: Erlbaum. Google Scholar öffnen
  298. Peslak, A., Ceccucci, W. & Sendall, P. (2012). An empirical study of social networking behavior using theory of reasoned action. Journal of Information Systems Applied Research, 5, 1946-1836. Google Scholar öffnen
  299. Petraitis, J., Flay, B. R. & Miller, T. Q. (1995). Reviewing theory of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 117, 67-86. Google Scholar öffnen
  300. Petty, R. E. & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205. Google Scholar öffnen
  301. Petty, R. E. & Cacioppo, J. T. (1996). Attitudes and persuasion. Classic and contemporary approaches. Boulder: Westview Press. Google Scholar öffnen
  302. Phau, I., Lim, A., Liang, J. & Lwin, M. (2014). Engaging in digital piracy of movies: A theory of planned behaviour approach. Internet Research, 24, 246-266. Google Scholar öffnen
  303. Pimmer C., Linxen, S. & Gröhbiel, U. (2012). Facebook as a learning tool? A case study on the appropriation of social network sites from mobile phones in developing countries. British Journal of Educational Technology, 43, 726-738. Google Scholar öffnen
  304. Plotnikoff, R. C., Costigan, S. A., Karunamuni, N. & Lubans, D. R. (2013). Social cognitive theories used to explain physical activity behavior in adolescents: A systematic review and meta-analysis. Preventive Medicine, 56, 245-253. Google Scholar öffnen
  305. Prasetyo, Y. T., Castillo, A. M., Salonga, L. J., Sia, J. A. & Seneta, J. A. (2020). Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during enhanced community quarantine in Luzon, Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Infectious Diseases, 99, 312-323. Google Scholar öffnen
  306. Prochaska, J. O., DiClimente, C. C. & Norcross, J. C. (1992). In search of how people change: Applications to addictive behaviors. American Psychologist, 47, 1102-1114. Google Scholar öffnen
  307. Prochaska, J. O., Redding, C. A. & Evers, K. E. (2008). The transtheoretical model and stages of change. In K. Glanz, B. K. Rimer & K. Viswanath (Hrsg.), Health behavior and health education: Theory, research, and practice (S. 97-121). San Francisco, CA: Wiley & Sons. Google Scholar öffnen
  308. Pürer, H. (2015). Journalismusforschung. Stuttgart: UTB. Google Scholar öffnen
  309. Rana, N. P., Slade, E., Kitching, S. & Dwivedi, Y. K. (2019). The IT way of loafing in class: Extending the theory of planned behavior (TPB) to understand students’ cyberslacking intentions. Computers in Human Behavior, 101, 114-123. Google Scholar öffnen
  310. Rapoport, A. & Chammah, A. M. (1965). Prisoner’s Dilemma: A study on conflict and cooperation. Ann Arbor: University of Michigan Press. Google Scholar öffnen
  311. Rayburn, J. D. & Palmgreen, P. (1984). Merging uses and gratifications and expectancy-value theory. Communication Research, 11, 537-562. Google Scholar öffnen
  312. Reid, A. E. & Aiken, L. S. (2011). Integration of five health behaviour models: Common strengths and unique contributions to understanding condom use. Psychology & Health, 26, 1499-1520. Google Scholar öffnen
  313. Reifegerste, D. & Rossmann, C. (2017). Promoting physical activity with group pictures. Affiliation-based visual communication for high-risk populations. Health Communication, 32, 161-168. Google Scholar öffnen
  314. Reinecke, J., Schmidt, P. & Ajzen, I. (1996). Application of the theory of planned behavior to adolescents’ condom use: A panel study. Journal of Applied Social Psychology, 26, 749-772. Google Scholar öffnen
  315. Reinhardt, A. & Rossmann, C. (2021). Age-related framing effects: Why vaccination against COVID-19 should be promoted differently in younger and older adults. Journal of Experimental Psychology: Applied. doi: 10.1037/xap0000378 Google Scholar öffnen
  316. Reynolds-Tylus, T. & Quick, B. L. (2017). Examining differences in predictors of African American, Caucasian, and Latino young adults’ intentions to register as an organ donor. Journal of Broadcasting & Electronic Media, 61, 368-392. Google Scholar öffnen
  317. Rhodes, F., Stein, J. A., Fishbein, M., Goldstein, R. B. & Rotheram-Borus, M. J. (2007). Using theory to understand how interventions work: Project RESPECT, condom use, and the integrative model. AIDS and Behavior, 11, 393-407. Google Scholar öffnen
  318. Riebl, S. K., Estabrooks, P. A., Dunsmore, J. C., Savla, J., Frisard, M. I., Dietrich, A. M., Peng, Y., Zhang, X. & Davy, B. M. (2015). A systematic literature review and meta-analysis: The theory of planned behavior’s application to understand and predict nutrition-related behaviors in youth. Eating Behaviors, 18, 160-178. Google Scholar öffnen
  319. Rigopoulou, I. D., Chaniotakis, I. E. & Kehagias, J. D. (2017). An extended technology acceptance model for predicting smartphone adoption among young consumers in Greece. International Journal of Mobile Communications, 15, 372-387. Google Scholar öffnen
  320. Rithalia, A., McDaid, C., Suekarran, S., Myers, L. & Sowden, A. (2009). Impact of presumed consent for organ donation on donation rates: A systematic review. British Medical Journal, 338, 284-287. Google Scholar öffnen
  321. Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology, 91, 93-114. Google Scholar öffnen
  322. Roncancio, A. M., Ward, K. K., Sanchez, I. A., Cano, M. A., Byrd, T. L., Vernon, S. W., Fernandez-Esquer, M. E. & Fernandez, M. E. (2015). Using the theory of planned behavior to understand cervical cancer screening among Latinas. Health Education & Behavior, 42, 621-626. Google Scholar öffnen
  323. Rondan-Cataluña, F. J., Arenas-Gaitán, J. & Ramírez-Correa, P. E. (2015). A comparison of the different versions of popular technology acceptance models. Kybernetes, 44, 788-805. Google Scholar öffnen
  324. Rosenberg, I. M. & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In C. I. Hovland & I. M. Rosenberg (Hrsg.), Attitude organization and change: An analysis of consistency among attitude components (S. 1-14). New Haven: CT: Yale University Press. Google Scholar öffnen
  325. Rosengren, K. E. (1974). Uses and gratifications: A paradigm outlined. In J. G. Blumler & E. Katz (Hrsg.), The uses of mass communications. Current perspectives on gratifications research (S. 269-286). Beverly Hills, CA: Sage. Google Scholar öffnen
  326. Rosenstock, I. M. (1974). The Health Belief Model and Preventive Health Behavior. Health Education Monographs, 2, 354-386. Google Scholar öffnen
  327. Rossmann, C. (2008). Fiktion Wirklichkeit. Ein Modell der Informationsverarbeitung im Kultivierungsprozess. Wiesbaden: VS Verlag. Google Scholar öffnen
  328. Rossmann, C. (2012). „Gemeinsam ist es leichter“ – Zur Relevanz der Psychologie und Kommunikationswissenschaft für die Planung einer Kampagne zur Förderung körperlicher Aktivität. In S. Fengler, T. Eberwein & J. Jorch (Hrsg.), Theoretisch Praktisch!? Anwendungsoptionen und gesellschaftliche Relevanz der Kommunikations- und Medienforschung (S. 255-269). Konstanz: UVK. Google Scholar öffnen
  329. Rossmann, C. (2013). Identifying effective messages for the promotion of physical activity in Germany. International Journal of Communication and Health, 2, 1-11. Google Scholar öffnen
  330. Rossmann, C. (2015). Strategic Health Communication: Theory- and Evidence-Based Campaign Development. In D. Holtzhausen & A. Zerfass (Hrsg.), The Routledge Handbook of Strategic Communication (S. 409-423). New York: Routledge. Google Scholar öffnen
  331. Rossmann, C. (2017). Content effects: Health campaign communication. In P. Rössler (Hrsg.), The International Encyclopedia of Media Effects (Bd. I, S. 187-197). New York: Wiley. Google Scholar öffnen
  332. Rossmann, C. (2020). Theories of reasoned action and planned behavior in media psychology. In J. Van den Bulck (Hrsg.), The International Encyclopedia of Media Psychology. New York: Wiley. doi: 10.1002/9781119011071.iemp0108 Google Scholar öffnen
  333. Rossmann, C., Lampert, C., Stehr, P. & Grimm, M. (2018). Nutzung und Verbreitung von Gesundheitsinformationen. Ein Literaturüberblick zu theoretischen Ansätzen und Befunden. Gütersloh: Bertelsmann Stiftung. Online verfügbar unter: https://www.bertelsmann-stiftung.de/de/publikationen/publikation/did/nutzung-und-verbreitung-von-gesundheitsinformationen, letzter Zugriff: 23.06.2021. Google Scholar öffnen
  334. Rossmann, C., Reinhardt, A. & Weber, W. (2021). Empfehlungen für Kommunikationsmaßnahmen gegen die Pandemiemüdigkeit bei Jugendlichen und jungen Erwachsenen. Ergebnisse zweier Online-Befragungen und eines systematischen Literaturüberblicks. Fachliche Expertise. Köln: Bundeszentrale für gesundheitliche Aufklärung. doi: 10.17623/BZGA:2021-FE-EKPJM Google Scholar öffnen
  335. Rossmann, C., Riesmeyer, C., Brew-Sam, N., Karnowski, V., Jöckel, S., Chib, A. & Ling, R. (2019). Appropriation of mobile health for diabetes self-management: lessons from two qualitative studies. JMIR Diabetes, 4, e10271. doi: 10.2196/10271 Google Scholar öffnen
  336. Rossmann, C., Stehr, P., Brill, J., Temmann, L. J., Weber, W. & Wendt, K. N. (2021). Health Information Behavior in Times of Crisis: Determinants of Information Retrieval and Information Processing in the Context of the SARS-CoV-2 Pandemic among Younger and Older Adults. Vortragspaper präsentiert auf der 71. Jahrestagung der International Communication Association (ICA), Virtual Conference, 27. bis 31. Mai 2021. Google Scholar öffnen
  337. Rothman, A. J. & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121, 3-19. Google Scholar öffnen
  338. Rothman, A. J., Stark, E. & Salovey, P. (2006). Using message framing to promote healthy behavior: A guide to best practices. Best Practices in the Behavioral Management of Chronic Diseases, 3, 31-48. Google Scholar öffnen
  339. Rubin, A. M. (2009). The uses-and-gratifications perspective of media effects. In J. Bryant & M. B. Oliver (Hrsg.), Media effects. Advances in theory and research (S. 165-184). Hillsdale, NJ: Erlbaum. Google Scholar öffnen
  340. Savage, L. J. (1954). The foundations of statistics. New York: Wiley. Google Scholar öffnen
  341. Scharrer, E. & Blackburn, G. (2018). Is reality TV a bad girls club? Television use, docusoap reality television viewing, and the cultivation of the approval of aggression. Journalism & Mass Communication Quarterly, 95, 235-257. Google Scholar öffnen
  342. Schifter, D. E. & Ajzen, I. (1985). Intention, perceived control, and weight loss: An application of the theory of planned behavior. Journal of Personality and Social Psychology, 49, 843-851. Google Scholar öffnen
  343. Schmidt, A. T. & Engelen, B. (2020). The ethics of nudging: An overview. Philosophy Compass, 15, e12658. doi: 10.1111/phc3.12658 Google Scholar öffnen
  344. Schnell, R., Hill, P. B. & Esser, E. (1999). Methoden der empirischen Sozialforschung. München, Wien: R. Oldenbourg. Google Scholar öffnen
  345. Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology, 57, 1-29. Google Scholar öffnen
  346. Schwarzer, R. & Fleig, L. (2014). Von der Risikowahrnehmung zur Änderung des Gesundheitsverhaltens – Ein langer Weg. Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie, 64, 338-341. Google Scholar öffnen
  347. Schweiger, W. (2007). Theorien der Mediennutzung. Eine Einführung. Wiesbaden: VS Verlag. Google Scholar öffnen
  348. Seel, R. & Rossmann, C. (2020). Akzeptanz und Adoption telemedizinischer Anwendungen in der ambulanten Versorgung: Eine qualitative Befragung von Fachärztinnen und -ärzten. In A. Kalch & A. Wagner (Hrsg.), Gesundheitskommunikation und Digitalisierung. Zwischen Lifestyle, Prävention und Krankheitsversorgung (S. 17-31). Baden-Baden: Nomos. Google Scholar öffnen
  349. Segrin, C. & Nabi, R. L. (2002). Does television viewing cultivate unrealistic expectations about marriage? Journal of Communication, 52, 247-261. Google Scholar öffnen
  350. Sheehy, N., Chapman, A. J. & Conroy, W. (Hrsg.) (1997). Bibliographical dictionary of psychology. London: Routledge. Google Scholar öffnen
  351. Sheeran, P. (2002). Intention-behavior relations: A conceptual and empirical review. European Review of Social Psychology, 12, 1-36. Google Scholar öffnen
  352. Sheeran, P., Gollwitzer, P. M. & Bargh, J. A. (2013). Nonconscious processes and health. Health Psychology, 32, 460-473. Google Scholar öffnen
  353. Sheeran, P. & Orbell, S. (1999). Using implementation intentions to increase attendance for cervical cancer screening. Health Psychology, 19, 283-289. Google Scholar öffnen
  354. Sheppard, B. M., Hartwick, J. & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325-343. Google Scholar öffnen
  355. Shevlin, M. & Millar, R. (2006). Career education: An application of latent growth curve modelling to career information-seeking behaviour of school pupils. British Journal of Educational Psychology, 76, 141-153. Google Scholar öffnen
  356. Shrum, L. J. (1999). The relationship of television viewing with attitude strength and extremity: Implications for the cultivation effect. Media Psychology, 1, 3-25. Google Scholar öffnen
  357. Simon, H. A. (1978). Rationality as process and as product of thought. American Economic Review, 68, 1-16. Google Scholar öffnen
  358. Simon, H. A. (1981). Entscheidungsverhalten in Organisationen: Eine Untersuchung von Entscheidungsprozessen in Management und Verwaltung. Landsberg am Lech: Verlag Moderne Industrie. Google Scholar öffnen
  359. Simon, H. A. (1993). Homo rationalis. Die Vernunft im menschlichen Leben. Frankfurt am Main: Campus. Google Scholar öffnen
  360. Singh, K., Leong, S. M., Tan, C. T. & Cheong Wong, K. (1995). A theory of reasoned action perspective of voting behavior: Model and empirical test. Psychology & Marketing, 12, 37-51. Google Scholar öffnen
  361. Singhal, A. & Rogers, E. M. (2004). Entertainment-education: A communication strategy for social change. In A. Singhal, M. J. Cody, E. M. Rogers & M. Sabido (Hrsg.), Entertainment-education and social change. History, research, and practice (S. 3-20). Mahwah, NJ: Erlbaum. Google Scholar öffnen
  362. Skinner, C. S., Tiro, J. & Champion, V. L. (2015). The health belief model. K. Glanz, B. K. Rimer & K. Viswanath (Hrsg.), Health behavior: Theory, research, and practice (S. 75–94). San Francisco, CA: Jossey-Bass. Google Scholar öffnen
  363. Smith, H. N. (1932). A scale for measuring attitudes about prohibition. Journal of Abnormal and Social Psychology, 26, 429-437. Google Scholar öffnen
  364. Smith, B. N. & Stasson, M. F. (2000). A comparison of health behavior constructs: Social psychological predictors of AIDS-preventive behavioral intentions. Journal of Applied Social Psychology, 30, 443-462. Google Scholar öffnen
  365. Smith-McLallen, A. & Fishbein, M. (2008). Predictors of intentions to perform six cancer-related behaviours: roles for injunctive and descriptive norms. Psychology, Health & Medicine, 13, 389-401. Google Scholar öffnen
  366. Sniehotta, F. F., Presseau, J. & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8, 1-7. Google Scholar öffnen
  367. Soffer, O. & Gordoni, G. (2018). To post or not to post? Anonymous user comments in the Israeli journalistic sphere. Journalism Studies, 19, 1390-1408. Google Scholar öffnen
  368. Sommer, D. (2019). Uses and Gratifications. Baden-Baden: Nomos. Google Scholar öffnen
  369. Sommer, L. (2011). The theory of planned behavior and the impact of past behavior. International Business & Economics Research Journal, 10, 91-110. Google Scholar öffnen
  370. Starfelt Sutton, L. C. & White, K. M. (2016). Predicting sun-protective intentions and behaviours using the theory of planned behaviour: a systematic review and meta-analysis. Psychology & Health, 31, 1272-1292. Google Scholar öffnen
  371. Stead, M., Tagg, S., MacKintosh, A. M. & Eadie, D. (2005). Development and evaluation of a mass media theory of planned behaviour intervention to reduce speeding. Health Education Research, 20, 36-50. Google Scholar öffnen
  372. Steadman, L. & Rutter, D. R. (2004). Belief importance and the theory of planned behavior: Comparing modal and ranked modal beliefs in predicting attendance at breast screening. British Journal of Health Psychology, 9, 447-463. Google Scholar öffnen
  373. Stehr, P., Karnowksi, V. & Rossmann, C. (2020). The multi-faceted usage patterns of nutrition apps: A survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making, 20, 279. doi: 10.1186/s12911-020-01294-9 Google Scholar öffnen
  374. Stehr, P., Luetke Lanfer, H. & Rossmann, C. (2021). Beliefs and motivation regarding physical activity among older adults in Germany: Results of a qualitative study. International Journal of Qualitative Studies in Health & Well-being, 16. doi: 10.1080/17482631.2021.1932025 Google Scholar öffnen
  375. Stehr, P., Rossmann, C., Geppert, J., Lütke Lanfer, H. & Kremer, T. (2020). „Mensch Opa, du bist noch so fit!“ Entwicklung einer evidenzbasierten Kommunikationsstrategie zur Förderung körperlicher Aktivität bei älteren und hochaltrigen Menschen in Deutschland. Baden-Baden: Nomos. Google Scholar öffnen
  376. Stehr, P., Rossmann, C., Kremer, T. & Geppert, J. (2021). Determinants of physical activity in older adults: Integrating self-concordance into the theory of planned behavior. International Journal of Environmental Research and Public Health, 18, 5759. doi: 10.3390/ijerph18115759 Google Scholar öffnen
  377. Steinmetz, H., Knappstein, M., Ajzen, I., Schmidt, P. & Kabst, R. (2016). How effective are behavior change interventions based on the theory of planned behavior? Zeitschrift für Psychologie, 224, 216-233. Google Scholar öffnen
  378. Stephenson, M. T., Quick, B. L., Atkinson, J. & Tschida, D. A. (2005). Authoritative parenting and drug-prevention practices: Implications for antidrug ads for parents. Health Communication, 17, 301-321. Google Scholar öffnen
  379. Sundstrom, B., Ferrara, M., DeMaria, A. L., Gabel, C., Booth, K. & Cabot, J. (2018). It’s your place: Development and evaluation of an evidence-based bystander intervention campaign. Health Communication, 33, 1141-1150. Google Scholar öffnen
  380. Sutton, L. C. S. & White, K. M. (2016). Predicting sun-protective intentions and behaviours using the theory of planned behaviour: A systematic review and meta-analysis. Psychology & Health, 31, 1272-1292. Google Scholar öffnen
  381. Tandoc, E. C. Jr. & Ferrucci, P. R. (2017). Giving in or giving up: What makes journalists use audience feedback in their news work? Computers in Human Behavior, 68, 149-156. Google Scholar öffnen
  382. Tapera, R., Mbongwe, B., Mhaka-Mutepfa, M., Lord, A., Phaladze, N. A. & Zetola, N. M. (2020). The theory of planned behavior as a behavior change model for tobacco control strategies among adolescents in Botswana. PloS one, 15, e0233462. doi: 10.1371/journal.pone.0233462 Google Scholar öffnen
  383. Taylor, S. & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19, 561-570. Google Scholar öffnen
  384. Taylor, S. & Todd, P. (1997). Understanding the determinants of consumer composting behavior. Journal of Applied Social Psychology, 27, 602-628. Google Scholar öffnen
  385. Tefertiller, A. (2017). Moviegoing in the Netflix age: Gratifications, planned behavior, and theatrical attendance. Communication & Society, 30, 27-44. Google Scholar öffnen
  386. Teo, T. (2012). Examining the intention to use technology among pre-service teachers: An integration of the technology acceptance model and theory of planned behavior. Interactive Learning Environments, 20, 3-18. Google Scholar öffnen
  387. Thaler, R. H. & Sunstein, C. R. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, & London: YaleOxford University Press. Google Scholar öffnen
  388. Thaler, R. H. & Sunstein, C. R. (2011). Nudge. Wie man kluge Entscheidungen anstößt. Berlin: Ullstein. Google Scholar öffnen
  389. Thurstone, L. L. & Chave, E. J. (1929). The measurement of attitude: A psychophysical method and some experiments with a scale for measuring attitude toward the church. Chicago: University of Chicago Press. Google Scholar öffnen
  390. Treise, D. & Weigold, M. F. (2001). AIDS public service announcements: Effects of fear and repetition on predictors of condom use. Health Marketing Quarterly, 18, 39-61. Google Scholar öffnen
  391. Troy, E., Blaine, M., Morrison, D. & Harris, B. (2019). Media use, cross-national samples, and the theory of planned behavior: Implications for climate change advocacy intentions. International Journal of Communication, 13, 3694-3718. Google Scholar öffnen
  392. Tseng, Y.-F., Wang, K.-L., Lin, C.-Y., Lin, Y.-T., Pan, H.-C. & Chang, C.-J. (2018). Predictors of smoking cessation in Taiwan: Using the theory of planned behavior. Psychology, Health & Medicine, 23, 270-276. Google Scholar öffnen
  393. Tversky, A. & Kahneman, D. (1974). Judgement under uncertainty: Heuristics and biases. Science, 185, 1124-1131. Google Scholar öffnen
  394. Tyson, M., Covey, J. & Rosenthal, H. E. S. (2014). Theory of planned behavior interventions for reducing heterosexual risk behaviors: A meta-analysis. Health Psychology, 33, 1454-1467. Google Scholar öffnen
  395. van den Putte, B. & Hoogstraten, J. (1997). Applying structural equation modeling in the context of the theory of reasoned action: Some problems and solutions. Structural Equation Modeling, 4, 320-337. Google Scholar öffnen
  396. van de Ven, M. O., Engels, R. C., Otten, R. & van den Eijnden, R. J. (2007). A longitudinal test of the theory of planned behavior predicting smoking onset among asthmatic and non-asthmatic adolescents. Journal of Behavioral Medicine, 30, 435-445. Google Scholar öffnen
  397. van Leuven, J. (1981). Expectancy theory in media and message selection. Communication Research, 8, 425-434. Google Scholar öffnen
  398. Venkatesh, V. & Davis, F. D. (2000). Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204. Google Scholar öffnen
  399. Venkatesh, V., Morris, M. J., Davis, G. B. & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478. Google Scholar öffnen
  400. Venkatesh, V., Thong, J. Y. L. & Xu, X. (2012). Customer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157-178. Google Scholar öffnen
  401. Verplanken, B. & Aarts, H. (1999). Habit, attitude, and planned behavior: Is habit an empty construct or an interesting case of automaticity? European Review of Social Psychology, 10, 101-134. Google Scholar öffnen
  402. Verplanken, B. & Faes, S. (1999). Good intentions, bad habits, and effects of forming implementation intentions on healthy eating. European Journal of Social Psychology, 29, 591-604. Google Scholar öffnen
  403. von Pape, T., Karnowski, V. & Wirth, W. (2008). Die Mobile-Phone-Appropriation-Skala (MPA-Skala): Konstruktion und Evaluation. In J. Matthes, W. Wirth, G. Daschmann & A. Fahr (Hrsg.), Methoden und Forschungslogik der Kommunikationswissenschaft, Bd. 3. Die Brücke zwischen Theorie und Empirie (S. 96-127). Köln: von Halem. Google Scholar öffnen
  404. von Pape, T., Karnowski, V., Wirth, W., Klimmt, C. & Hartmann, T. (2007). Living in oblivion. A diary-study on the appropriation of a role-playing game. Vortragspaper präsentiert auf der 57. Jahrestagung der International Communication Association, San Francisco, 24. bis 28. Mai 2007. Google Scholar öffnen
  405. Vu, H. T. & Lee, T. T. (2013). Soap operas as a matchmaker: A cultivation analysis of the effects of South Korean TV dramas on Vietnamese women’s marital intentions. Journalism & Mass Communication Quarterly, 90, 308-330. Google Scholar öffnen
  406. Walsh, S. P. & White, K. M. (2007). Me, my mobile, and I: The role of self- and prototypical identity influences in the prediction of mobile phone behavior. Journal of Applied Social Psychology, 37, 2405-2434. Google Scholar öffnen
  407. Wang, X. (2015). Using attitude functions, self-efficacy, and norms to predict attitudes and intentions to use mobile devices to access social media during sporting event attendance. Mobile Media & Communication, 3, 75-90. Google Scholar öffnen
  408. Wang, X. & McClung, S. R. (2011). Toward a detailed understanding of illegal digital downloading intentions: An extended theory of planned behavior approach. New Media & Society, 13, 663-677. Google Scholar öffnen
  409. Wang, J., Liu, R.-D., Ding, Y., Liu, Y., Xu, L. & Zhen, R. (2017). What influences Chinese adolescents’ choice intention between playing online games and learning? Application of theory of planned behavior with subjective norm manipulated as peer support and parental monitoring. Frontiers in Psychology, 8. doi: 10.3389/fpsyg.2017.00589 Google Scholar öffnen
  410. Webb, T. L., Joseph, J., Yardley, L. & Michie, S. (2010). Using the Internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12, 97-114. Google Scholar öffnen
  411. Weber, M. (1980). Wirtschaft und Gesellschaft. Grundriß der verstehenden Soziologie. Tübingen: Mohr. Google Scholar öffnen
  412. Weinstein, N. D. (1993). Testing four competing theories of health-protective behavior. Health Psychology, 12, 324-333. Google Scholar öffnen
  413. Welker, M. (2001). Determinanten der Internet-Nutzung. Eine explorative Anwendung der Theorie des geplanten Verhaltens zur Erklärung der Medienwahl. München: R. Fischer. Google Scholar öffnen
  414. Werbik, H. (1978). Handlungstheorien. Stuttgart: Kohlhammer. Google Scholar öffnen
  415. Wicker, A. W. (1969). Attitudes versus actions: The relationship of verbal and overt behavioral responses to attitude objects. Journal of Social Issues, 25, 41-78. Google Scholar öffnen
  416. Willoughby, J. F. & Myrick, J. G. (2016). Does context matter? Examining PRISM Google Scholar öffnen
  417. as a guiding framework for context-specific health risk information seeking among young adults. Journal of Health Communication, 21, 696-704. Google Scholar öffnen
  418. Wirth, W., Karnowski, V. & von Pape, T. (2006). Measuring moulds of social shaping: Evidence from cell phone appropriation. Vortragspaper präsentiert auf der 56. Jahrestagung der International Communication Association, Dresden, 19. bis 23. Juni 2006. Google Scholar öffnen
  419. Wirth, W., von Pape, T. & Karnowski, V. (2007). How to measure appropriation? Towards an integrative model of mobile phone appropriation. In T. Hess (Hrsg.), Ubiquität, Interaktivität, Konvergenz und die Medienbranche: Ergebnisse des interdisziplinären Forschungsprojektes intermedia (S. 83-105). Göttingen: Universitätsverlag Göttingen. Google Scholar öffnen
  420. Wirth, W., von Pape, T. & Karnowski, V. (2008). An integrative model of mobile phone appropriation. Journal of Computer-Mediated Communication, 13, 593-617. Google Scholar öffnen
  421. Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557-585. Google Scholar öffnen
  422. Wu, J. & Song, S. (2020). Older adults’ online shopping continuance intentions: Applying the technology acceptance model and the theory of planned behavior. International Journal of Human-Computer Interaction, 37, 938-948. Google Scholar öffnen
  423. Yang, Z. J. (2015). Predicting young adults’ intentions to get the H1N1 vaccine: An integrated model. Journal of Health Communication, 20, 69-79. Google Scholar öffnen
  424. Yang, Z. J., Aloe, A. M. & Feeley, T. H. (2014). Risk information seeking and processing model: A meta-analysis. Journal of Communication, 64, 20-41. Google Scholar öffnen
  425. Yang, H. C. & Wang, Y. (2015). Social sharing of online videos: Examining American consumers’ video sharing attitudes, intent, and behavior. Psychology & Marketing, 32, 907-919. Google Scholar öffnen
  426. Yao, M. Z. & Linz, D. G. (2008). Predicting self-protections of online privacy. Cyberpsychology & Behavior, 11, 615-617. Google Scholar öffnen
  427. Yzer, M. C., Cappella, J. N., Fishbein, M., Hornik, R., Sayeed, S. & Ahern, R. K. (2004). The role of distal variables in behavior change: Effects of adolescents’ risk for marijuana use on intention to use marijuana. Journal of Applied Social Psychology, 34, 1229-1250. Google Scholar öffnen
  428. Zemore, S. E. & Ajzen, I. (2014). Predicting substance abuse treatment completion using a new scale based on the theory of planned behavior. Journal of Substance Abuse Treatment, 46, 174-182. Google Scholar öffnen
  429. Zhang, Y. & Krcmar, M. (2004). Effects of television viewing of sexual content on behavioral intentions in priming and no-priming conditions: A cultivation analysis from a theory of reasoned action perspective. Vortragspaper präsentiert auf der 54. Jahrestagung der International Communication Association, New Orleans, USA, 27.-31. Mai 2004. Google Scholar öffnen
  430. Zhang, C. Q., Zhang, R., Schwarzer, R., & Hagger, M. S. (2019). A meta-analysis of the health action process approach. Health Psychology, 38, 623-637. Google Scholar öffnen
  431. Zillmann, D. & Brosius, H.-B. (2000). Exemplification in Communication. The influence of case reports on the perception of issues. Mahwah, NJ: Erlbaum. Google Scholar öffnen

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