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
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 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 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
Some common and useful Data Simulation functions. 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
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
SumsofSquares 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
"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
Simulated
Blackjack game in R
