RESEARCH METHODS AND STATISTICS: A CRITICAL THINKING APPROACH, International Edition, successfully illustrates the integration between statistics and research methods by demonstrating the ways to use statistics in analyzing data collected during research. Jackson’s combined text adopts an inviting narrative style that speaks directly to students and draws them into the material, helping them overcome the initial apprehension they may feel at having to learn both subject areas at once. She incorporates a student-friendly critical-thinking approach and presents examples and exercises to which students can relate. Jackson focuses on the logic of the process and the methodology aspect of research.

1. GETTING STARTED. Science and Statistics. Variables and Measurement. 2. DESCRIPTIVE STATISTICS I. Organizing Data. Measures of Central Tendency. 3. DESCRIPTIVE STATISTICS II. Measures of Variation. Standard Scores (z-scores). 4. PROBABILITY AND HYPOTHESIS TESTING. Probability. Hypothesis Testing and Inferential Statistics. 5. THE Z AND T TESTS. The Single-Sample z Test. The Single-Sample t Test. 6. TWO-GROUP T TESTS. The t Test for Independent Groups (Samples). The t Test for Correlated Groups (Samples). 7. INTRODUCTION TO ANALYSIS OF VARIANCE (ANOVA). Comparing More Than Two Groups. One-Way Randomized Analysis of Variance (ANOVA). 8. REPEATED MEASURES AND TWO-FACTOR ANOVAS. One-Way Repeated Measures ANOVA. Using Designs with More Than One Independent Variable. Two-Way Randomized ANOVA. 9. CORRELATIONAL PROCEDURES. Correlational Research. Correlation Coefficients. Advanced Correlational Techniques: Regression Analysis. 10. NONPARAMETRIC PROCEDURES. Chi-Square Tests. Tests for Ordinal Data. Appendix A. Statistical Tables. Appendix B. Answers to Module and Chapter Summary Exercises. Appendix C. Getting Started with Excel, SPSS, and the TI-84 Calculator. Appendix D. Computational Supplement. Glossary. References. Index.