Research Design & Statistical Portfolio: Clinical Psychology

This report presents a comprehensive analysis of a clinical psychology research portfolio, encompassing two main sections: Factorial ANOVA and Interactions, and Hierarchical Linear Regression. Section A utilizes SPSS data to conduct a three-way Factorial ANOVA, exploring sentence reading times and interaction effects, including the use of T-tests to examine sentence length and sleep group interactions. The report provides detailed steps for conducting the ANOVA, interprets results, and discusses the importance of statistical power and effect sizes. Section B focuses on Hierarchical Linear Regression, employing the provided data file to analyze impulsivity predictors such as problem gambling behavior, age, working memory, and emotion regulation. The report outlines the steps for performing multiple linear regression in SPSS and presents descriptive statistics and model summaries. The assignment demonstrates a strong understanding of statistical methods and their application in clinical psychology research, providing a detailed analysis of the data and interpretation of the results.