This book provides a comprehensive guide to univariate and multivariate data analysis and interpretation using SPSS. It aims to help students understand how to apply statistical tests to their research findings and interpret the results. The book covers both the Windows method and the syntax method for executing statistical tests, with a focus on explaining the purpose of specific tests, the research designs they are relevant to, and how to interpret the results. The book is written for use with the SPSS for Windows statistical package and includes SPSS syntax files to enhance understanding and facilitate data manipulation in complex experimental designs. The book also includes examples and data sets that can be accessed online. The content is organized into chapters that cover various statistical procedures, including inferential statistics, test selection, descriptive statistics, correlation, regression, factor analysis, reliability, multiple regression, structural equation modeling, and nonparametric tests. Each chapter provides detailed explanations of the statistical procedures, examples of how to use SPSS to perform the analysis, and interpretations of the results. The book is designed to help students develop a clear understanding of statistical concepts and their application in research.This book provides a comprehensive guide to univariate and multivariate data analysis and interpretation using SPSS. It aims to help students understand how to apply statistical tests to their research findings and interpret the results. The book covers both the Windows method and the syntax method for executing statistical tests, with a focus on explaining the purpose of specific tests, the research designs they are relevant to, and how to interpret the results. The book is written for use with the SPSS for Windows statistical package and includes SPSS syntax files to enhance understanding and facilitate data manipulation in complex experimental designs. The book also includes examples and data sets that can be accessed online. The content is organized into chapters that cover various statistical procedures, including inferential statistics, test selection, descriptive statistics, correlation, regression, factor analysis, reliability, multiple regression, structural equation modeling, and nonparametric tests. Each chapter provides detailed explanations of the statistical procedures, examples of how to use SPSS to perform the analysis, and interpretations of the results. The book is designed to help students develop a clear understanding of statistical concepts and their application in research.