Latent Variable Modeling of Multilevel Intrinsic Motivation Data

Li, Fuzhong; Duncan, Terry E.; Duncan, Susan C.; Harmer, Peter; Acock, Alan C.

doi:10.1207/s15327841mpee0104_3

Cited by 5 publications

(2 citation statements)

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“…This kind of data derived from clustered or hierarchical sampling designs should be better analyzed by the statistical methods considering data property with clustered, hierarchical or multilevel characteristics. When multilevel characteristics of data are dealt with traditional statistical analysis, the chi-square test of model fit is often inflated, particularly for data with large intraclass correlation (ICC), large group sizes, and highly correlated variables; therefore better fit statistics can not be provided [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, even groups less than 50 may be enough to get a good model fit. For example, in a study [6] where multilevel confirmatory factor analysis model was used to extract one factor from four measurement items on motivation, and a surprising good model fit of group-level structure based on only 39 groups. However, in another study where two factors with six measurement indexes were modeled in within-level model and only one factor in between-level model, the finding showed that inadmissible estimate problem occurred in the between-level model when group-level sample size was small (50 groups in his research) and ICC was low [8] .…”

Section: Introductionmentioning

confidence: 99%

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How to determine the number of level-2 units in multilevel structural equation modeling (MSEM) as a standard applied to nested or hierarchical data structure was still unknown. This research used Canada data in the large database "Programme for International Student Assessment 2003" (PISA 2003) to check the model-fit indexes and parameters stability in our proposed empirical example processed by MSEM under different numbers of level-2 units. Our proposed example model was first be handled to fit Canada data (26884 students, 948 schools), and then the stabilities of the estimated parameters in the example model under 120, 240 , 360, 480, 600, 720, 840 level-2 units were compared. Level-1 units in each school less than10 students will be crossed out in advance . Besides, intraclass correlations of all variables were controlled in a specified range in different numbers of level-2 units . Finally, we found the ratio of the number of level-2 units relative to the number of estimated parameters of between-level in the multilevel model were 8:1 .

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices

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Dedrick

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et al. 2016

Multivariate Behavioral Research

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We provide reporting guidelines for multilevel factor analysis (MFA) and use these guidelines to systematically review 72 MFA applications in journals across a range of disciplines (e.g., education, health/nursing, management, and psychology) published between 1994 and 2014. Results are organized in terms of the (a) characteristics of the MFA application (e.g., construct measured), (b) purpose (e.g., measurement validation), (c) data source (e.g., number of cases at Level 1 and Level 2), (d) statistical approach (e.g., maximum likelihood), and (e) results reported (e.g., intraclass correlations for indicators and latent variables, standardized factor loadings, fit indices). Results from this review have implications for applied researchers interested in expanding their approaches to psychometric analyses and construct validation within a multilevel framework and for methodologists using Monte Carlo methods to explore technical and methodological issues grounded in realistic research design conditions.

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The exercise motivation scale: Its multifaceted structure and construct validity

1999

Journal of Applied Sport Psychology

145

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Latent Variable Modeling of Multilevel Intrinsic Motivation Data

Cited by 5 publications

References 20 publications

Does Number of Level-2 Units in Multilevel Structural Equation Modeling Matter?

Does Number of Level-2 Units in Multilevel Structural Equation Modeling Matter?

Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices

The exercise motivation scale: Its multifaceted structure and construct validity

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