Psychological Statistics and Psychometrics Using Stata

by: Scott Baldwin (Author)

Publisher: Stata Press

Edition: 1st

Publication Date: 2019/6/11

Language: English

Print Length: 454 pages

ISBN-10: 1597183032

ISBN-13: 9781597183031

Book Description

Psychological Statistics and Psychometrics Using Stata is a complete and concise resource for students and researchers in the behavioral sciences. The author’s primary goal in this book is to help readers become competent users of statistics. To that end, he first introduces basic statistical methods such as regression, t tests, and ANOVA. He focuses on explaining the models, how they can be used with different types of variables, and how to interpret the results. After building this foundation, the author covers more advanced statistical techniques, including power-and-sample size calculations, multilevel modeling, and structural equation modeling. This book also discusses measurement concepts that are crucial in psychometrics. For instance, the author explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. The author includes dozens of worked examples using real data to illustrate the theory and concepts.

About the Author

Psychological Statistics and Psychometrics Using Stata is a complete and concise resource for students and researchers in the behavioral sciences. The author’s primary goal in this book is to help readers become competent users of statistics. To that end, he first introduces basic statistical methods such as regression, t tests, and ANOVA. He focuses on explaining the models, how they can be used with different types of variables, and how to interpret the results. After building this foundation, the author covers more advanced statistical techniques, including power-and-sample size calculations, multilevel modeling, and structural equation modeling. This book also discusses measurement concepts that are crucial in psychometrics. For instance, the author explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. The author includes dozens of worked examples using real data to illustrate the theory and concepts.

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