Warning
: Undefined variable $raw_excerpt in
/home/quantdev/thechangelab.stanford.edu/wp-content/themes/lagunita-theme/Lagunita.php
on line
2123
Chapter 15: Modeling Change with Latent Variables Measured by Ordinal Indicators | The Change Lab
Skip to content
The Change Lab
Menu
Search form
Search term
Home
About Us
Our Team
Lab Mission
Lab Values
Tutorials
Bayesian Methods
Dynamic Dyadic Systems
Growth Modeling
Intensive Longitudinal Analysis
Longit. Design & Data Analysis
Measurement of Change
Power Analysis
Psychophysiological Synchrony
Collaborations
The AMIB Data
The Cortisol Data
Data Musik
iSAHIB
Screenomics
Publications
News & Updates
Joining The Change Lab
Student Corner
Chapter 15: Modeling Change with Latent Variables Measured by Ordinal Indicators
Longitudinal Item Factor Models
Tags:
Kevin Grimm
,
SEM
,
Slides
,
Video
,
cumulative logit item factor analysis model
,
cumulative probit model
,
item factor model
,
latent response propensity specification
,
linear growth model
,
longitudinal item factor model
,
longitudinal scalar invariance model
,
polytomous item factor analysis models
,
second order growth model
,
two parameter logistic item response model
,
two parameter probit model
,
weighted least squares
|
Tutorials
|
Growth Modeling
|
Chapter 15: Modeling Change with Latent Variables Measured by Ordinal...
Files
Ch 15 Longitudinal Item Factor Models