The Analysis Factor
Statistical Consulting, Resources, and Statistics Workshops for Researchers
The last, and sometimes hardest, step for running any statistical model is writing up results.
As with most other steps, this one is a bit more complicated for structural equation models than it is for simpler models like linear regression.
Any good statistical report includes enough information that someone else could replicate your results with your data.
[Read more…] about Member Training: Reporting Structural Equation Modeling Results
Latent constructs, such as liberalism or conservatism, are theoretical and cannot be measured directly.
But we can use a set of questions on a scale, called indicators, to represent the construct together by combining them into a latent factor.
Often prior research has determined which indicators represent the latent construct. Prudent researchers will run a confirmatory factor analysis (CFA) to ensure the same indicators work in their sample.
[Read more…] about Correlated Errors in Confirmatory Factor Analysis
I recently held a free webinar in our The Craft of Statistical Analysis program about Binary, Ordinal, and Nominal Logistic Regression.
It was a record crowd and we didn’t get through everyone’s questions, so I’m answering some here on the site. They’re grouped by topic, and you will probably get more out of it if you watch the webinar recording. It’s free.
The following questions refer to this logistic regression model: [Read more…] about Link Functions and Errors in Logistic Regression