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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.
|• Demonstrates how to fit a variety of models including ANOVA, regression, and multilevel models• Shows how to use Stata to easily understand the effects of categorical factors, continuous covariates, and interactions
• Introduces power analysis for t-tests and ANOVA
• Introduces the theory of reliability and validity and shows how to fit models using factor analysis and SEM
• Provides Stata code and datasets so that the reader can reproduce all examples
• Gives an overview of Stata for new users and converts commonly used SPSS commands into Stata syntax
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.
|• Demonstrates how to fit a variety of models including ANOVA, regression, and multilevel models• Shows how to use Stata to easily understand the effects of categorical factors, continuous covariates, and interactions
• Introduces power analysis for t-tests and ANOVA
• Introduces the theory of reliability and validity and shows how to fit models using factor analysis and SEM
• Provides Stata code and datasets so that the reader can reproduce all examples
• Gives an overview of Stata for new users and converts commonly used SPSS commands into Stata syntax
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