Untitled Document

Exploratory Multivaraite Techniques

Assignment
Select a data set with lots of variables 10-15 that are a mix of Dvs, IVs & Covariates.
Pick three of the models we discuss in class and apply them to the variables.
Expect that the analysis & write-up will be an "iterative process"!

Datasets for Homework Project

Self-Descriptive Survey Materials

Personal Success Survey Materials

Interpersonal Relationships Survey Materials

Clinical Data Data Description

Date	Topic	Audio Files
Mon May 16	Intro to the Course
Tue May 17	Introduction to PC & PAF PC Intro PC Example PAF Intro PAF/CF example	Exploratory vs. Confirmatory Factoring Meaning, Application $ Basic Steps Extraction % # PCs Rotation & Interpretation Kinds of Factors & Kinds of Variables Factoring Items vs. Scales Selecting Variables & Samples Examples of PC PC & PAF World View PAF vs. PC Communality Estimation Common Factor Scores Maximum Likelihood Factoring
Mon May 23	Choosing, Interpreting & Using Factors PAF Intro PAF/CF example PC Decisions & Interpretation Number of Components Rotation of Components Component Scores Bartlett's Spericity Computator PC practice link to datasets	Process & Cautions Statistical Procedures Mathematical Procedures Nontrivial Factors Procedures Help Coming Later #PC Examples Review & Factor Types Simple Structure Types of Rotation Interpretation, Cutoffs & Best Solution
Tue June 2	Introduction to Canonical Correlation Canonical Correlation Canonical Example Another Talent Example Practice with Canonical clinical.sav	intro to Canonical
Click here for Zoom Vid	Introduction to Discriminant Analysis LDF 2-group LDF k-group Concentrated LDF k-group Diffuse LDF LDF Follow-ups practice with ldf ldfprac.sav	Classification & ANOVA Bivariate Classification Comparing Classification Variables Intro to linear discriminant function ldf & MANOVA How ldf Works Reporting 2-group ldf Results Concentrated & Diffuse Structures Follow-up Analyses
click here for first 2 parts click here for the 3rd part	Introduction to Clustering Cluster Analysis Eg1 Eg2 Eg3 Cluster Analysis & LDF Cluster Analysis & Factorial ANOVA Factor, Cluster & Description practice with Clustering cluster.sav	Intro & Process Profiles & Profile Comparison # Clusters & Interpretation Strays Within-cluster variability Making Cluster Solutions More Readable Euclidean, Squared Euclidean, City Block, Chehychev & Cosine Metrics Wards, Centroid, Median, Between, Within , Single & Complete Linkage Methods Follow-ups
Click here for Zoom Vid	Introduction to MDScaling MDScaling ALSCAL & INDSCAL Interpreting Solutions Sorting Data Prep Program How-to Data_example Output_example