Module 8: Principle
Components Analysis, Factor Analysis and Related
Principle Components Analysis, Maximum Likelihood
Factor Analysis
& scale reliability
Creating
Composite Scores (i.e., indicator variables) with factor
analysis.
Creating
Composite Scores (i.e., indicator variables)
with principle component analysis.
Determining the most
appropriate number of factors to extract using
VSS
Data generation and simulation of various
Factor Analytic Models.
Data generation and
fitting of
binary item factor models.
An example of
Bootstrapped Factor Analysis
An example of
Hierarchical Factor Analysis
Simple 2 & 3 variable
Correspondence Analysis
Brief examples of
Multidimensional Scaling
Module 9: Structural Equation Modeling (SEM) and Related
SEM example run in R using
SEMData.sav (same as this:
Stage 1 and
Stage 2)
An intuitive way
to do
latent variable modeling (CFA, SEM, & latent growth)
Dr. Rich Herrington's CFA & SEM in R
simulation
which runs in your browser
Estimation of a
bifactor model in packages 'sem' & 'lavaan' using simulated
data
Multiplegroup bifactor model
tested with the SatorraBentler Difference Test
Iterated
simulation of Multigroup bifactor model showing SB
Difference Test behavior
Exploring
Measurement Invariance in CFA & SEM models.
Example of a
Bootstrapped CFA using the 'lavaan' package and a home grown
function.
Example
SEM with one hierarchical latent factor
Some examples of
Partial Least Squares (PLS) modeling (including SEM/Path
Modeling).
Generation of
data for the PLS script above.
Moderation & Mediation in
PLS Modeling
Module 10: Time Series
and Related
Brief example of how to get R to
recognize a column of dates.
Brief example(s) of
Time Series analysis (using BP oil stock prices; circa Apr. 2010)
Brief look at some
financial indices and how to access them.
How to
export tables, graphs, and raw data to Excel
How to
scrape data from a webpage.
Module 11: Bayesian
Methods
Recommended
Bayesian Books (Last updated: Sep. 12, 2011). Summary of each
here.
Explicit Bayes: a very simple introduction to Bayesian
calculation and inference.
Using
Bayes Factors for Bayesian versions of ttest & one way ANOVA
Using
Bayesian Model Averaging to address the variable selection
problem
Brief example of
Bayesian Generalized Linear Modeling
(e.g., regression)
Brief example of
Bayesian Factor Analysis with MCMC methods
How
Bayes Rule was used to find a missing Hbomb and nuclear sub.
Module 12: Miscellaneous
Generating
Simulated Data
Generating Simulated
Demographic variables:
(1) (2)
Generating a Normal Curve
Generating an
ogive, binomial, logistic function
Simulating
Likert data
Basic example of
Parallel Processing
Basic example of
Text Mining
Simulation of the
Central Limit Theorem with graphs
Beware of
Simpson's Paradox
The
Two Envelopes Problem in R
The
German Tank Problem in R
Can
SumsofSquares be equal for two groups of different sizes?
Some examples of
Interesting Small Models with Graphs
Fun with
Plots and Graphs (a limited and random collection of examples)
The world famous
SpiroGraph and graduated color wheels. Other interesting
graphs.
A few examples of
Spirals and
Spheres
Never at the (exact) same point twice!
Strange Attractors from the field of Chaos
Automated variable
selection using the
bootstrapped stepwise AIC (not model based)
Playing around with
Piano Composition using R.
Some R
humor
Simulated
Blackjack game in R
