Quantitude

S1E12: Measurement (Non)Invariance -- Can We Ever Fail to Not Incorrectly Reject It?

Jan 28, 2020

01:05:28

Highlights

AI Chapters

Episode notes

The Omnibus Model Fit

05:42

Using a Non Invariant Item in a Modeling Environment

03:00

Is There a Different Psychometric Structure?

02:16

Introduction

3min

In Variance

2min

The Missing Data Language

2min

Recursive Models Move Left to Right With No Feedback Loops

2min

Should We Talk About Invariance?

2min

Is There a Difference Between Variance and Traditional Invariance?

2min

Is There a Scale of Depression?

3min

Is There a Factor in Depression?

3min

Is Your Child Anxious Before Going to School?

2min

10.

Is There a Latent Continuum?

4min

11.

How Much Does a Cord of Wood Cost?

3min

12.

Are There Gender Differences in Depression Pre and Post Puberty?

3min

13.

How Do You Evaluate a Latent Factor of Depression?

3min

14.

Test in Variance - Is There a Single Light in Variable?

2min

15.

The Omnibus Model Fit

6min

16.

The Importance of Multivariables in Impact Testing

4min

17.

Is It a L R T Approach?

2min

18.

The Scaling Indicator Is Not Imperative

4min

19.

Is There a Difference Between I R T and C F A?

3min

20.

Is There a Difference in Mental Health?

2min

21.

The Poking Stick and Scaling Indicators

2min

22.

Using a Non Invariant Item in a Modeling Environment

3min

23.

Is There a Different Psychometric Structure?

2min

24.

The Shots Clock

5min

In this episode, Patrick and Greg respond to a call-in question that raises a host of issues revolving around measurement invariance testing. In addition to complaining about horrible terminology commonly used in quantitative methodology, they also address pirate mothers, irreverance, time machines, quadruple negatives, buying firewood, digging up bodies, the Schotz clock, and dumpster fires. There are also return appearances of Whac-a-Mole and the poking stick.

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