The only comprehensive treatment of methods and data analysis, this classic advanced undergraduate/graduate text in research methods requires statistics as a prerequisite. The first half of the text concentrates on research methods and the second half introduces students to advanced statistical procedures.
Preface
Part I. Conceptual and Ethical Foundations
1. The Spirit of Behavioral Research
2. Contexts of Discovery and Justification
3. Ethical Considerations, Dilemmas, and Guidelines
Part II. Operationalization and Measurement of Dependent Variables
4. Reliability and Validity of Measurements
5. Observations, Judgments, and Composite Variables
6. Questionnaires, Interviews, and Diaries
Part III. The Logic of Research Designs
7. Randomized Controlled Experiments and Causal Inference
8. Nonrandomized Research and Functional Relationships
9. Randomly and Nonrandomly Selected Sampling Units
Part IV. Fundamentals of Data Analysis
10. Describing, Displaying, and Exploring Data
11. Correlation
12. Statistical Power and Effect Size Revisited
Part V. One-Way Designs
13. Comparing Means by Standard t Tests
14. Analysis of Variance and the F Test
15. One-Way Contrast Analyses
Part VI. Factorial Designs
16. Factorial Analysis of Variance
17. Interaction Effects in Analysis of Variance
18. Repeated Measures in Analysis of Variance
Part VII. Additional Topics in Data Analysis
19. Significance Testing and Association in Tables of Counts
20. Multivariate Data Analysis
21. Meta-Analysis: Comparing and Combining Research Results
Part VIII. Appendices
A: List of Numbered Equations
B: Statistical Tables
Glossary
References
Indexes
Subject Index
Name Index