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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
Demonstration
of factor
rotations and what they do.
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
bi-factor model in packages 'sem' & 'lavaan' using
simulated data
Multiple-group
bi-factor model tested with the Satorra-Bentler Difference
Test
Iterated
simulation
of Multi-group bi-factor model showing SB Difference Test
behavior
Exploring
Measurement Invariance in CFA & SEM models.
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
A
more efficient and consistent way to do PLS
Path 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.
Super Bowl 50 ticket
price absurdity!
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 t-test & 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 H-bomb and nuclear sub.
Module
12: Miscellaneous
Some
common and useful Data
Simulation functions. Generating
a Normal
Curve
Generating
an
ogive, binomial, logistic function
Create
strong passwords
Basic
example of
Parallel Processing
Basic
example of Text Mining.
Basic
example of Geographical
Mapping Data.
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
Demonstration
and simulation of the Kruskal
Count card trick.
Can
Sums-of-Squares be equal for two groups of different sizes?
A
minor Monte Carlo -like Flea
Circus.
A
reminder about the importance of graphing data:
Anscombe's Quartet
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
How to create SVG graphs and why that is a useful skill. "What
do you mean by asymptotic?"
Introduction
to simple GIF
creation in R using ImageMagick
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)
Testing
your computer's power using a speed
testing script.
Playing
around with
Piano Composition using R.
The
Standard Formula for average weight of "normal" humans.
The
first 7 Magic
Squares....
Making
R
noisy....
Some
R
humor
The Matrix Simulated
Blackjack game in R
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