Psyc350 Lecture Files

Lecture Topic	Available Files
Intro to multivariate Research & Factorial Designs	Introduction to Multivariate Research Example of a 2x2 Factorial Design Factorial Variables & Effects Cell & Marginal Means – Simple & Main Effects Identifying and Describing Interactions Identifying and Describing Main Effects Factorial Data Patterns
Factorial ANOVA	Inspecting Tables Inspecting Line Graphs Statistical Analysis of Factorial Effects Using LSDmmd to Describe Interactions
Factorial Hypotheses	Some Review RH: for Interactions & Main Effects Explicitly Stated RH: Inferred RH: Combined Main Effect & Interaction RH:
Programmatic Research with Factorial ANOVA	Kinds of Factorial Designs Causal Interpretation of Factorial Effects Re-introduction to Multivariate Research Reintroduction to Programmatic Research Factorials: Adding Treatments Factorials: Population, Setting & Task/Stimulus generalizations Factorials: Time-Course Studies & Initial Equivalence Checks
Bivariate Regression	Correlation & Prediction Research Linear regression Formula & Interpreting b & a Conducting a Prediction Study
Multivariate Regression	Advantages of Multiple Regression Multiple Regression formula & Interpreting bs & a Evaluating & Describing a Multiple Regression Model
Bivariate & Multivariate	Interpreting r, b & multivariate b Influences of r, b & multivariate b Representing r & b (Venn Diagrams) Bivariate & Multivariate Analyses/Results Beware Proxy Variables ! Multiple Regression Results to Remember
Programmatic Research & Path Analysis	Re-introduction to Multivariate Research Reintroduction to Programmatic Research Multivariate Analyses & Path Analyses Multiple Regression and Path Analysis “Structures” Direct and Indirect Effects in Path Analyses Mediation Analyses “When” & Other Cautions Getting Path Coefficients How to Improve a Path Analysis