Advanced Statistics in Education and Psychology

CONTENTS
PART FIRST BASIC STATISTICS
1. Concept of Statistics
(Meaning, Nature and Purpose)
2. The Frequency Distribution (Functions, Variables and Procedure)
3. Measures of Central Tendency (Mean, Median and Mode)
4. Measures of Variability (Range, S.D. and Quartile deviation)
5. Graphic Presentation and Percentiles (Histogram, Polygon, Percentiles and Ogive)
6. The Normal Probability Curve (Meaning, Characteristics and Application)
PART SECOND PARAMETRIC STATISTICS
(Inferential Statistics)
7. Significance of Statistics (Reliability of the Mean and other Statistics)
8. The Significance of Difference between Statistics
9. Analysis of Variance
10. Two Ways Analysis of Variance (Main effects and Interaction effects
11. Analysis of Co-variance
12. Designs of Experiments (Application of Analysis of Variance)
PART THIRD CORRELATION METHODS
13. Pearson's Correlation Method (Linear Correlation)
14. Prediction in Relation to Correlation (Linear Regression and Prediction)
15. Partial and Multiple Correlation (Multi-Variate analysis)
16. Factor Analysis (Methods and Application)
17. Other Methods of Correlation (Rank, Biserial, Phi and Contingency)
PART FOURTH
NONPARAMETRIC STATISTICS (Descriptive Methods)
18. Non parametric Statistics (Free distribution Techniques and Tests)
19. Analysis of Frequencies
20. Transformation of Scores (Norms, Types and Procedures)
Bibliography (Books and Journals)
Appendix I Selected Formulas of Statistics
Appendix II Statistical Tables
Index.