"Hi, please find the following for three examples using meta analysis of factor loading matrices.
Chiungjung Huang, & Jyun-Hong Chen. Meta-Analysis of the Factor Structures of the Beck Depression Inventory–II. Assessment, 2015, 22(4)…"
If you have the raw data, EFA/CFA/IRT is the obvious choice. You only need meta-analysis when you have lots of summary statistics. If you want to validate the "items," you need item-level correlations. If you only have the…"
Dear all,I am using the programme "Comprehensive Meta-Analysis" (CMA) to meta-analyze the effectiveness of a particular intervention. I want to meta-analyze whether there are effective changes in some hypothesized outcomes after joining the intervention. I would like to seek your advice on which effect size measure(s) to use appropriately.I wanted to use Cohen’s d as the effect size measure using r. However, my whole batch of those included studies got two types — one type with both…See More
"thanks huiyong for your advice and shared reference, will go through it in detail!Would you mind sharing a bit more about meta-analyzing factor loading matrices from EFA? Would you have any sample papers?"
1. item-level intercorrelation is must in meta-sem. but, if it has some subscales, you can treat subscales as items, i. e. the meta analysis canbe set on the subscale level. and your research question should be reset correspondingly.
here is an…"
Dear Mike and all,I want to examine the factor structure of two scales respectively (scale A: 14 items; scale B: 26 items). We are trying several methods: CFA followed by EFA; Rasch analysis and IRT respectively. IRT seems to be a more and more popular methodology for the purpose. But I have also come across some studies using meta-SEM to examine the factor structure. It basically refers to: getting the pooled inter-item correlation matrix from the respective inter-item correlation matrix from…See More
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