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panel data

Multilevel, Hierarchical, and Mixed Models–Questions about Terminology

by Karen Grace-Martin Leave a Comment

Multilevel models and Mixed Models are generally the same thing. In our recent webinar on the basics of mixed models, Random Intercept and Random Slope Models, we had a number of questions about terminology that I’m going to answer here.

If you want to see the full recording of the webinar, get it here. It’s free.

Q: Is this different from multi-level modeling?

A: No. I don’t really know the history of why we have the different names, but the difference in multilevel modeling [Read more…] about Multilevel, Hierarchical, and Mixed Models–Questions about Terminology

Tagged With: fixed effect, Fixed Factor, hierarchical linear model, mixed model, multilevel model, panel data, random effect, Random Factor

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  • Confusing Statistical Term #10: Mixed and Multilevel Models
  • The Difference Between Random Factors and Random Effects
  • Mixed Models: Can you specify a predictor as both fixed and random?

Converting Panel Data into Percentiles to Observe Trends in Stata (Part 1)

by Jeff Meyer Leave a Comment

by Jeff Meyer, MPA, MBA

Panel data provides us with observations over several time periods per subject. In this first of two blog posts, I’ll walk you through the process. (Stick with me here. In Part 2, I’ll show you the graph, I promise.)

The challenge is that some of these data sets are massive. For example, if we’ve collected data on 100,000 individuals over 15 time periods, then that means we have 1.5 million cells of information.

So how can we look through this massive amount of data and observe trends over the time periods that we have tracked? [Read more…] about Converting Panel Data into Percentiles to Observe Trends in Stata (Part 1)

Tagged With: panel data, percentiles, Stata, trends

Related Posts

  • Creating Graphs in Stata: From Percentiles to Observe Trends (Part 2)
  • Statistical Software Access From Home
  • The Wonderful World of User Written Commands in Stata
  • Stata Loops and Macros for Large Data Sets: Quickly Finding Needles in the Hay Stack

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