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Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences
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Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences



March 2018 | 232 pages | SAGE Publications, Inc

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.


 
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
Key features
KEY FEATURES:
  • Focuses on the meaning of statistics and why researchers choose particular techniques, rather than computational skills.
  • Coverage ranges from basic descriptive statistics to more advanced topics such as tests of significance, measures of association, and regression analysis.
  • An opening chapter provides a brief overview of the research process in social, behavioral, and health sciences.


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