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    statsjam Posts: 1, Reputation: 1
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    Dec 4, 2012, 02:58 PM
    Should I use cluster analysis or latent class analysis for my dissertation?

    I am testing the validity of model that posits why gifted students underachieve in school. There are three latent constructs: environmental perceptions, self-efficacy, and goal valuation. If students' attitudes are low toward any of these constructs, it is theorized they will lack self-regulation and underachieve in school. I have subscales from two different instruments (very reliable) to measure the constructs, a total of 41 questions.

    I think a cluster analysis would be simpler to run, but I know that LCA has many advantages over a traditional cluster analysis. I am just not as familiar with LCA. Which would you recommend I use and why?

    Thank you!

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