Blog Archives

2017 Statistics Workshops: Diagnostic Modeling and Multilevel Longitudinal

Learn from instructors who wrote the book(s) on the topics! All workshops are given in a relaxed atmosphere with ample time for one-on-one interaction with the instructors.

Stats on the Beach is a workshop series taught by Lesa Hoffman and Jonathan Templin (co-founders of AnalyticAble LLC). In 2017 we are offering two workshops, located in Hilton Head Island, South Carolina:
  • Diagnostic Measurement (May 22-25, by Jonathan Templin)
  • Introduction to Longitudinal Multilevel Models (May 30-June 2, by Lesa Hoffman)
Our format for each includes separate morning and late afternoon sessions, with a long mid-day break so you can let the content sink in (or meet with us individually) while enjoying the beach. For more information, please visit our website: StatsOnTheBeach.com
Please send a link to this announcement to anyone who might be interested, and let us know if you have any questions!



R Functions for Estimation of the LCDM in Mplus

The R functions are used to build, run, and parse Mplus syntax for estimation of the LCDM. The functions to build the R syntax were created by Andre Rupp and Oliver Wilhelm with additions for parsing and computing attribute reliability contributed by Jonathan Templin

The example will run if all files are put into the same folder.




An Introduction to Clustering and Classification Methods (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 14 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Vermunt & Magidson (2002)
  • McCutcheon (2002)
Homework



Principal Components Analysis and Exploratory Factor Analysis (EPSY 905; Spring, 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 13 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Johnson & Wichern (2002), Chs. 8 & 9
Homework



Mixed Models Incorporate Repeated Measures and Multivariate ANOVA (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 12 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Maxwell & Delaney (2004), Ch. 12-15
  • Wright (1998)
Homework



Missing Data (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 11 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Enders (2010), Ch. 4, 7, 8, 9
Homework



Introduction to Bayesian Analysis/MCMC Estimation (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 10 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Enders (2010), Ch. 6
Homework



Multivariate Mixed Models (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 9 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • None
Homework



Path Analysis (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 8 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
Readings to be completed after this lecture:
  • Kline (2005), Chs. 5 & 6
Homework



Introduction to Path Analysis: Multivariate Regression (EPSY 905; Spring 2016)

Multivariate Analysis (EPSY 905; Spring 2016): Week 7 Materials


In-Class Lecture Materials:
In-Class Lecture Videos and Notes:
  • Part 1: Not encoded due to error from Echo360
  • Part 2
Readings to be completed after this lecture:
  • Kline (2005), Chs. 5 & 6
Homework