图书简介

Acknowledgments \\ Chapter 1: Brief Introduction to Research in the Social, Behavioral, and Health Sciences \\ What Is the Purpose of Research? \\ How Is Research Done? \\ Scientific Method and Hypothesis Testing \\ Inductive Research \\ Deductive Research \\ Research Designs \\ Chapter 2: Variables and Measurement \\ Variables and Data \\ Levels of Variable Measurement \\ Types of Relationships \\ Research Design and Measurement Quality \\ Chapter 3: How to Sample and Collect Data for Analysis \\ Why Use a Sample? \\ Probability Sampling Methods \\ Nonprobability Sampling Methods \\ Validating a Sample \\ Split Ballot Designs \\ How and Where Are Data Collected Today? \\ Chapter 4: Data Frequencies and Distributions \\ Univariate Frequencies and Relative Frequencies \\ Cumulative Percentages and Percentiles \\ Frequencies for Quantitative Data \\ Univariate Distributions \\ The Normal Distribution \\ Non-Normal Distribution Characteristics \\ Data Transformations for Dealing With Non-Normal Distributions \\ Bivariate Frequencies \\ Chapter 5: Using and Interpreting Univariate and Bivariate Visualizations \\ Univariate Data Visualization \\ Bivariate Data Visualization \\ Chapter 6: Central Tendency and Variability \\ Understanding How to Calculate and Interpret Measures of Central Tendency \\ Understanding How Individuals in a Distribution Vary Around a Central Tendency \\ Chapter 7: What Are z Scores, and Why Are They Important? \\ What Is a z Score? \\ How to Calculate a z Score \\ The Standard Normal Table \\ Working With the Standard Normal Distribution to Calculate z Scores, Raw Scores, and Percentiles \\ Confidence Intervals \\ Chapter 8: Hypothesis Testing and Statistical Significance \\ Null and Alternative Hypotheses \\ Statistical Significance \\ Test Statistic Distributions \\ Choosing a Test of Statistical Significance \\ The Chi-Square Test of Independence \\ The Independent Samples t Test \\ One-Way Analysis of Variance \\ Chapter 9: How to Measure the Relationship Between Nominal and Ordinal Variables \\ Choosing the Correct Measure of Association \\ Trying to Reduce Error (PRE Statistics) \\ Calculating and Interpreting Lambda \\ Calculating and Interpreting Gamma \\ Calculating and Interpreting Somers’ d \\ Calculating and Interpreting Kendall’s Tau-b \\ Interpreting PRE Statistics Overview \\ Chapter 10: Effect Size \\ Effect Size \\ Choosing an Effect Size \\ Chapter 11: How to Interpret and Report Regression Results \\ What Is a Regression? \\ Correlation \\ Bivariate Regression \\ Coefficient of Determination (r2) \\ Multiple Regression \\ Logistic Regression \\ Chapter 12: Indices, Typologies, and Scales \\ Indices, Typologies, and Scales Defined and Explained \\ Appendix A. The Standard Normal Table \\ Appendix B. Critical Values for t Statistic \\ Appendix C. Critical Values for Chi-Square \\ Appendix D. Critical Values for F Statistic \\ Appendix E. Glossary \\ About the Authors

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