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List of my RSS Matters (now called Research Matters) papers.

Listed (alphabetically) by Subject or Title Listed by Date (newest on top)

Bayesian Book Recommendations  (Adobe.pdf version)

Bayes Analysis Introduction of simple explicit calculation and comparison (Adobe.pdf version)

Bayes Factors for t tests and one way ANOVA in R (Adobe.pdf version)

Bayesian Generalized Linear Models in R  (Adobe.pdf version)

Bayesian Model Averaging in R  (Adobe.pdf verison)

Binary item Factor Analysis in R  (Adobe.pdf verison)

 

Coding Categorical Variables for regression analysis (Adobe.pdf version)

Completing a Dissertation (Adobe.pdf version)

Composite Indicators with Factor Analysis (Adobe.pdf version)

Composite Indicators with Principle Components Analysis (Adobe.pdf version)

Cross Validation 1 (Adobe.pdf version)

Cross Validation 2 (Adobe.pdf version)

 

Equivalence: Simple equality of means is not the same as equivalent.  (Adobe.pdf version)

Excel

     Export tables, graphs, and raw data from R to Excel (Adobe.pdf version)

     Import many Excel files to R (Adobe.pdf version)

 

Factor Analysis

Binary item Factor Analysis in R  (Adobe.pdf verison)

Composite Indicators with Factor Analysis (Adobe.pdf version)

Composite Indicators with Principle Components Analysis (Adobe.pdf version)

Hierarchical (higher order) factor analysis  (Adobe.pdf version)

Principal Components Analysis vs. Factor Analysis and Alternatives (Adobe.pdf version)

Using Very Simple Structure (VSS) to determine the appropriate number of factors to extract. (Adobe.pdf verison)

 

General Guide to Conducting a Dissertation or Thesis (Adobe.pdf version)

Graphics displays in R -- Basic Graphs  (Adobe.pdf version)

                                   -- Importance of Graphs  (Adobe.pdf version)

A brief introduction to plotting geographical data. (Adobe.pdf version)

 

Hierarchical (higher order) factor analysis  (Adobe.pdf version)

Homogeneity of Variance (Adobe.pdf version)

 

LaTeX2HTML (Adobe.pdf version)

Linear Mixed Effects in R (Adobe.pdf version)

  

Matching across two groups to reduce multicollinearity in R (Adobe.pdf version)

Measurement Invariance in R (Adobe.pdf version)

Missing Data:

     NEW recommended method for Multiple Missing Value Imputation (Adobe.pdf version)

     Recommended method for Multiple Missing Value Imputation (Adobe.pdf version)

     Robust Methods for Missing Value Imputation in R (Adobe.pdf version)

Model Specification Error/Model Mis-specification (Adobe.pdf version)

Multinomial Logistic Regression (Adobe.pdf version)

 

Outliers (multivariate outlier detection) (Adobe.pdf version)

 

Parallel Processing: Simple Introduction (Adobe.pdf version)

A better way to do PLS. (Adobe.pdf version)

Partial Least Squares modeling in R
 (Adobe.pdf version)

 

Reference categories and interpretation of Logistic coefficients. (Adobe.pdf version)

Reliability (Adobe.pdf version)

Reproducible Research  (Adobe.pdf version)

RStudio introduction and customization. (Adobe.pdf version)

 

Sample Size (Adobe.pdf version)

Scraping Web Data in R (Adobe.pdf version)

Sequential Character String Generation in R  (Adobe.pdf version)

Simpsons Paradox (Adobe.pdf version)

Simple data simulation of common models. (Adobe.pdf version)

Simulation in Research (Adobe.pdf version)

Structural Equation Modeling in R (Adobe.pdf version)

 

Statistics

Finishing a dissertation or how to conduct a study (Adobe.pdf version)

Modern Statistical Methods recommendations and observations (Adobe.pdf version)

Resources (Adobe.pdf version)

Statistical Action Plan (Adobe.pdf version)

Why R. (Adobe.pdf version)

 

Text mining in R: A basic introduction  (Adobe.pdf version)

Time Series in R: A basic introduction  (Adobe.pdf version)

 






 



Reference categories and interpretation of Logistic coefficients. (
Adobe.pdf version)

Simple data simulation of common models.
(Adobe.pdf version)

RStudio introduction and customization. (Adobe.pdf version)

Simple equality of means is not the same as equivalent.
 (Adobe.pdf version)

A better way to do PLS. 
(Adobe.pdf version)

Resources (V.5). 
(Adobe.pdf version)

A brief introduction to plotting geographical data. 
(Adobe.pdf version)

Graphics displays in R -- Importance of Graphs  (Adobe.pdf version)

Modern Statistical Methods recommendations and observations (Adobe.pdf version)

Time Series in R: A basic introduction  (Adobe.pdf version)

Measurement Invariance in R (Adobe.pdf version)

Composite Indicators with Principle Components Analysis (Adobe.pdf version)

Bayes Analysis Introduction of simple explicit calculation and comparison (Adobe.pdf version)

Using Very Simple Structure (VSS) to determine the appropriate number of factors to extract. (Adobe.pdf verison)

Binary item Factor Analysis in R
  (Adobe.pdf verison)

NEW recommended method for Multiple Missing Value Imputation
 (Adobe.pdf version)

Graphics displays in R -- 
Basic Graphs  (Adobe.pdf version)

Statistical Action Plan
 (Adobe.pdf version)

Parallel Processing: Simple Introduction (Adobe.pdf version)

Recommended method for Multiple Missing Value Imputation (Adobe.pdf version)

Text mining in R: A basic introduction  (Adobe.pdf version)

Scraping Web Data in R (Adobe.pdf version)

Why R. (Adobe.pdf version)

Export tables, graphs, and raw data from R to Excel (Adobe.pdf version)

Import many Excel files to R (Adobe.pdf version)

Outliers (multivariate outlier detection) (Adobe.pdf version)

Sequential Character String Generation in R  (Adobe.pdf version)

Hierarchical (higher order) factor analysis  (Adobe.pdf version)

Sample Size (Adobe.pdf version)

Simpsons Paradox (Adobe.pdf version)

Reproducible Research  (Adobe.pdf version)

Reliability (Adobe.pdf version)

Simulation in Research (Adobe.pdf version)

Composite Indicators with Factor Analysis (Adobe.pdf version)

Finishing a dissertation or how to conduct a study (Adobe.pdf version)

Bayesian Book Recommendations  (Adobe.pdf version)

Multinomial Logistic Regression (Adobe.pdf version)

Partial Least Squares modeling in R (Adobe.pdf version)

Cross Validation 1 (Adobe.pdf version)

Cross Validation 2 (Adobe.pdf version)

Matching across two groups to reduce multicollinearity in R (Adobe.pdf version)

Bayes Factors for t tests and one way ANOVA in R (Adobe.pdf version)

Bayesian Model Averaging in R  (Adobe.pdf verison)

Bayesian Generalized Linear Models in R  (Adobe.pdf version)

Linear Mixed Effects in R (Adobe.pdf version)

Robust Methods for Missing Value Imputation in R (Adobe.pdf version)

LaTeX2HTML (Adobe.pdf version)

Structural Equation Modeling in R (Adobe.pdf version)

Principal Components Analysis vs. Factor Analysis and Alternatives (Adobe.pdf version)

Coding Categorical Variables for regression analysis (Adobe.pdf version)

Model Specification Error/Model Mis-specification (Adobe.pdf version)

Homogeneity of Variance (Adobe.pdf version)



 
REQUIRED READING: If you are coming to the field of statistics for the first time, I would consider it absolutely essential for you to read the following books in the order listed below.

Salsburg, D. (2001). The lady tasting tea: How statistics revolutionized science in the twentieth century. New York: W. H. Freeman and Company.

McGrayne, S. B. (2011). The theory that would not die: How Bayes’ Rule cracked the Enigma Code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy. New Haven, CT: Yale University Press.

Gould, S. J. (1996). The Mismeasure of Man (Revised & Expanded Edition). New York: W. W. Norton & Company.

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Contact Information

Jon Starkweather, PhD

Jonathan.Starkweather@unt.edu

940-565-4066

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Last updated 2018.11.02 by Jon Starkweather.

Copyright 2012, 2013, 2014, 2015, 2016, 2017, 2018 by Jonathan D. Starkweather.

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