About this class
Advanced Statistics in Psychology
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Learning Material
Title
Volume
Multivariate Analysis: Introduction to techniques for analyzing multiple variables simultaneously, including MANOVA and discriminant analysis.
5.89 MB
<p>Multivariate Analysis: Introduction to techniques for analyzing multiple variables simultaneously, including MANOVA and discriminant analysis.</p>
Advanced Regression Analysis: Going beyond simple linear regression to explore multiple regression, logistic regression, and hierarchical regression.
5.89 MB
<p>Advanced Regression Analysis: Going beyond simple linear regression to explore multiple regression, logistic regression, and hierarchical regression.</p>
Factor Analysis: Understanding the principles and applications of factor analysis in psychology research.
5.89 MB
<p>Factor Analysis: Understanding the principles and applications of factor analysis in psychology research.</p>
Experimental Design: More advanced topics in experimental design, including factorial designs, repeated measures, and mixed-design ANOVA.
5.89 MB
<p>Experimental Design: More advanced topics in experimental design, including factorial designs, repeated measures, and mixed-design ANOVA.</p>
Nonparametric Statistics: Introduction to nonparametric tests such as the Wilcoxon signed-rank test, Mann-Whitney U test, and Kruskal-Wallis test.
5.89 MB
<p>Nonparametric Statistics: Introduction to nonparametric tests such as the Wilcoxon signed-rank test, Mann-Whitney U test, and Kruskal-Wallis test.</p>
Structural Equation Modeling (SEM): An overview of SEM, a powerful statistical technique for testing complex relationships among variables.
5.89 MB
<p>Structural Equation Modeling (SEM): An overview of SEM, a powerful statistical technique for testing complex relationships among variables.</p>
Longitudinal Data Analysis: Exploring statistical methods for analyzing data collected over time, including growth curve modeling and repeated measures ANOVA.
5.89 MB
<p>Longitudinal Data Analysis: Exploring statistical methods for analyzing data collected over time, including growth curve modeling and repeated measures ANOVA.</p>
Meta-Analysis: An introduction to the principles and techniques of meta-analysis for synthesizing research findings from multiple studies.
5.89 MB
<p>Meta-Analysis: An introduction to the principles and techniques of meta-analysis for synthesizing research findings from multiple studies.</p>
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