A Handbook of Statistics and Quantitative Analysis for Educational Leadership

John W. Mulcahy; Jess L. Gregory

doi:10.5771/9780761847656

Summary

A Handbook of Statistics and Quantitative Analysis for Educational Leadership is an approachable reference for all levels of educational leadership. The topics are presented with a clarity that makes the mathematics accessible, even if the reader has not had prior training in research methods or statistics. The handbook's refreshing treatment of the material includes concrete examples and questions for discussion that provide educational leaders the tools they need to make data-based decisions. From understanding statistical vocabulary to the choosing of statistical procedures, the topics presented are organized in increasing complexity, providing a solid foundation upon which the next topic may be based. A Handbook of Statistics and Quantitative Analysis is an invaluable reference tool in the pursuit of a masters or doctoral degree.

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Bibliographic data

Copyright year: 2009
ISBN-Print: 978-0-7618-4764-9
ISBN-Online: 978-0-7618-4765-6
Publisher: Hamilton Books, Lanham
Language: English
Pages: 79
Product type: Book Titles

1. Contents No access
2. Foreword No access
3. Preface No access
4. Acknowledgment No access
1. Descriptive Statistics/Inferential Statistics No access
2. Population/Samples No access
3. Statistical Symbols No access
4. Independent/Dependent Variable No access
5. Exercise 1. No access
6. Independent/Dependent Groups No access
7. Parametric/Nonparametric Tests No access
8. Exercise 2. No access
9. Parametric Tests No access
10. Nonparametric Tests No access
11. Normal Distribution/Skewed Distribution No access
12. Questions for Discussion No access
1. Representative Sampling No access
2. Methods of Choosing a Sample No access
3. Exercise 3. No access
4. Measurement No access
5. Exercise 4 No access
6. Questions for Discussion No access
1. Types of Hypotheses No access
2. Exercise 5. No access
3. Levels of Significance and Probability No access
4. The Normal Distribution No access
5. Accepting or Rejecting the Null No access
6. Exercise 6. No access
7. Type I and Type II Error No access
8. Exercise 7. No access
9. Questions for Discussion No access
1. Questions to Ask No access
2. Inferential Tests for Nominal Data No access
3. 1. Binomial Test (Nonparametric Test) No access
  2. Chi-Square Test for Goodness of Fit (Nonparametric Test) No access
4. 1. Fisher's Exact Test (Nonparametric) No access
5. 1. Chi-Square for Independent Groups (Nonparametric) No access
6. 1. Cochran Q Test (Nonparametric) No access
7. Inferential Tests for Ordinal Data No access
8. 1. Kolmogorov Smirnov Test (Nonparametric) No access
9. 1. Mann-Whitney Test (Nonparametric) No access
  2. Wilcoxon-Ranks Test (Nonparametric) No access
10. 1. Kruskal-Wallis Test (Nonparametric) No access
  2. Friedman Test (Nonparametric) No access
11. Inferential Tests for Interval/Ratio Data No access
12. 1. T Test (Parametric) No access
13. 1. T-Test for Independent Means (Parametric) No access
  2. Paired T-Test (Parametric) No access
14. 1. One-Way Analysis of Variance (Parametric) No access
  2. Contrast Tests for ANOVA No access
  3. The Fisher LSD: No access
  4. Tukey HSD: No access
  5. Scheffe Test: No access
  6. Repeated Measures ANOVA No access
15. Correlations No access
Appendix A: Summary No access Pages 61 - 64
Glossary No access Pages 65 - 74
Sources No access Pages 75 - 76
Index No access Pages 77 - 79