Description Module Introduction In this module we extend our understanding of linear regression by exploring regression with multiple independent variables. We will also dive into more advanced techniques that involve regression with categorical variables and interactions. Module Learning Objectives Articulate when and why a researcher would use a multivariate regression model. List the assumptions of the model Conduct multivariate analysis in SPSS Conduct multivariate analysis with categorical variables in SPSS Conduct multivariate analysis with interactions in SPSS Interpret the outputs Identify the type of research questions where a multivariate model is appropriate Required Readings AB 2 chapter 4 AdvancedandMultivariateStatisticalMethodsforSocialScienceResearch By:SolemanH.Abu-Bader Publisher:OxfordUniversityPress PrintISBN:9780190616397 eTextISBN:9780197621356,019762135X Assignment Reminders Lab 6/7 Section 2: Additional Readings Below you will find a host of additional readings on multivariate regression, the idea of control variables, and regression with interactions. Please note, these readings are completely optional and only intended to provide those looking for a deeper understanding of the covered topics. Statistical Control Regression with Statistical Control Regression with multiple predictors Regression with dummy variables Regression with interactions Section 3: Lab Assignment: Click here to go to Lab 6 / 7.
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