Using and interpreting statistics in the social, behavioral, and health sciences. ([2019])

• Record Type: Book
• Further Information: Note: William E. Wagner, III California State University, Channel Islands, Brian Joseph Gillespie, Sonoma State University.
• Authors: Wagner, William E (William Edward); Gillespie, Brian Joseph
• Contents: 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;
• Publisher Details: Los Angeles : SAGE Publications
• Publication Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 001.422; Statistics -- Methodology; Social sciences -- Statistical methods; Medical sciences -- Statistical methods
• Languages: English
• ISBNs: 9781544321097; 1544321090
• Related ISBNs: 9781526402493
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.