A latent profile analysis of college students’ achievement goal orientation

By Dena Ann Pastor, K. Barron, B. J. Miller, Susan L. R. Davis. 2007

763 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/2d056e733c33398957a42016238cc328a48c5fd6

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In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

The Strength of the Relation Between Performance-Approach and Performance-Avoidance Goal Orientations: Theoretical, Methodological, and Instructional Implications (2012, methodology): “Skaalvik, 1997) to moderate range (47.5%; r = .30–.50, Church et al., 2001; Dai, 2000; Day et al., 2003; Heimbeck et al., 2003; Kozlowski & Bell, 2006; Pastor et al., 2007; L. Smith et al., 2002; M. Smith et al., 2002; Tanaka et al., 2002a; Tuominen-Soini et al., 2011; VandeWalle & Cummings, 1997), ”
Performance of the entropy as an index of classification accuracy in latent profile analysis: A Monte Carlo simulation study (2017, neutral): “…, 我们发现样本量与 Entropy 呈负相关, 即样本量越大 Entropy 值越小, 所以扩大样本量范围对全面了解 Entropy 的表现具有重要意义。另外, 她们的研究只考查了存在 2 个潜在类别组即 k = 2 的情况, 然而在实际研究中, 潜类别数量通常多于 2 个。最后, 上述关于 Entropy 的临界值是在考虑协变量的情况下获得的, 在很多应用研究中并未涉及协变量, 所以在其他条件下这些值是否适用有待进一步分析。最近, Peugh 和 Fan (2013)的模拟研究考查了 Entropy 及其三种变式(CLC、NEC、ICL_BIC)在确…”
Latent Profile Analysis (2017, methodology): “However, with most cluster analysis approaches, the clusters are based on subjective distances between variables (i.e.,within-cluster differences are minimized and between-cluster differences are maximized; Ketchen & Shook, 1996; Pastor et al., 2007), rather than objective fit criteria.”