Name: Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences By William E. Wagner
SKU: 9781526402493
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Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences Summary

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner

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 those students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

About William E. Wagner

William E. Wagner, III, PhD, is Professor of Sociology at California State University-Channel Islands where he teaches courses in statistics and research methods. He has published research on topics such as urban sociology, sports, homophobia, and academic status. He is co-author of Adventures in Social Research, 10E (SAGE, 2018), The Practice of Survey Research (SAGE, 2016), and ?A Guide to R for Social and Behavioral Sciences ?(SAGE, 2020) and author of Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics (2019). Brian Joseph Gillespie, Ph.D. is a researcher in the Faculty of Spatial Sciences at the University of Groningen in the Netherlands. He is the author of Household Mobility in America: Patterns, Processes, and Outcomes (Palgrave, 2017) and coauthor of The Practice of Survey Research: Theory and Applications (Sage, 2016) and Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences (Sage, 2018). He has also published research in a variety of social science journals on topics related to family, migration, the life course, and interpersonal relationships.

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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Sku

CIN1526402491VG

ISBN 13

9781526402493

ISBN 10

1526402491

Title

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner

Author

William E. Wagner

Condition

Used - Very Good

Binding type

Paperback

Publisher

SAGE Publications Ltd

Year published

20180730

Number of pages

232

Prizes

N/A

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Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences William E. Wagner

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner

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

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner

About William E. Wagner

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