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I have 200 participants who worked in pairs to complete collaborative problem-solving (CPS) tasks. I am studying the relationship between enjoyment and CPS performance. I believe this relationship is mediated by effort regulation. So, I have two latent variables (enjoyment, effort regulation), one continuous dependent variable (CPS performance), and I would like to control for Gender and Prior knowledge in numeracy. My data is nested, and participants were paired based on gender. So, I have 100 pairs, 50 pairs females, 50 pairs males Is it correct to do SEM, Type=Complex, Cluster=pairs, to study this mediation? Is it a problem that groups are comprised of only two people? Any suggestions will be much appreciated. Many thanks Jesus |
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Do you really have variation within the pairs for your variables? |
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Hello, Thanks for your answer. Yes, I think so. How can we be sure about that? |
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Use analysis Type = twolevel basic; with cluster=pairs. |
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Thanks. I already run the analysis using type=complex; cluster=pairs. Do you think that type=twolevel basic is more appropriate? I hope I don't have to do it all again |
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I was suggesting it so you can see how much within-pair variance you have. It doesn't mean you have to use twolevel modeling. |
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Ok, I see. This is what I got: Within level variance = 0.284 Between level variance = 0.465 |
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Should be fine to do Type=Complex with your 2 members per cluster. |
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great! Thanks a lot |
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