Great video! Can we test measurement equivalence with more than 2 groups (at the same time) e.g. younger vs. middle-aged vs. older adults? I am asking because so far I have only seen examples with 2 groups.
Excellent! I am wondering if there is a technique to test measurement equivalence across continuous variables such as age (e.g., ranging from 20 to 80 years old) or if we must create 2 or more groups even with variables that are continuous. @@QuantFish
@@will74lsn Great question. Continuous variables are somewhat tricky. Age groups (e.g., 20-30, 31-40, 41-50 etc.) would work for the sake of invariance testing to at least screen for non-invariance in different age ranges. (It is likely not necessary to look at every single age separately.) Best, Christian Geiser
@@will74lsn For testing measurement equivalence across levels of a continuous variables, you can also check out the following paper: Bauer, D. J. (2017). A more general model for testing measurement invariance and differential item functioning. Psychological Methods, 22(3), 507-526. doi.org/10.1037/met0000077 psycnet.apa.org/manuscript/2016-27721-001.pdf Best, Christian Geiser
Yes, your are right! The video is part of my playlist on measurement invariance: ruclips.net/p/PL-kVjeOVYChrkO8lMrRsHZuYxvYY6KW35 Best, Christian Geiser
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So thankful I stumbled upon your channel. Really appreciate the clarity and intuition you teach with.
I really appreciate your positive comment. I'm glad my content is helpful for you!
Best, Christian Geiser
Great video!
Can we test measurement equivalence with more than 2 groups (at the same time) e.g. younger vs. middle-aged vs. older adults? I am asking because so far I have only seen examples with 2 groups.
Yes, there can be more than 2 groups.
Best, Christian Geiser
Excellent! I am wondering if there is a technique to test measurement equivalence across continuous variables such as age (e.g., ranging from 20 to 80 years old) or if we must create 2 or more groups even with variables that are continuous. @@QuantFish
@@will74lsn Great question. Continuous variables are somewhat tricky. Age groups (e.g., 20-30, 31-40, 41-50 etc.) would work for the sake of invariance testing to at least screen for non-invariance in different age ranges. (It is likely not necessary to look at every single age separately.)
Best, Christian Geiser
@@will74lsn For testing measurement equivalence across levels of a continuous variables, you can also check out the following paper:
Bauer, D. J. (2017). A more general model for testing measurement invariance and differential item functioning. Psychological Methods, 22(3), 507-526. doi.org/10.1037/met0000077
psycnet.apa.org/manuscript/2016-27721-001.pdf
Best, Christian Geiser
awesome!@@QuantFish
Suggestion: people who are specifically looking for Measurement Equivalence will find this video useful too!
Yes, your are right! The video is part of my playlist on measurement invariance:
ruclips.net/p/PL-kVjeOVYChrkO8lMrRsHZuYxvYY6KW35
Best, Christian Geiser