2013
DOI: 10.1177/0748175613497038
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Applying Longitudinal Mean and Covariance Structures (LMACS) Analysis to Assess Construct Stability Over Two Time Points

Abstract: Traditional methods of assessing construct stability are reviewed and longitudinal mean and covariance structures (LMACS) analysis, a modern approach, is didactically illustrated using psychological entitlement data. Measurement invariance and latent variable stability results are interpreted, emphasizing substantive implications for educators and the utility of LMACS analysis in longitudinal research.

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Cited by 17 publications
(14 citation statements)
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“…However, the process of scale validation and revalidation is, and should be, ongoing (Furr, 2018). Specifically, the current study findings provide evidence of the construct stability and convergent validity across the five measured outcomes as indicated in Table 2 (Bashkov & Finney, 2013). Further, the high correlations between the premeasures and postmeasures across the five measured factors illustrate additional support for their construct and/or predictive validity, suggesting that despite the significant mean differences from preprogram to postprogram, items were measuring the same construct.…”
Section: Discussionsupporting
confidence: 58%
“…However, the process of scale validation and revalidation is, and should be, ongoing (Furr, 2018). Specifically, the current study findings provide evidence of the construct stability and convergent validity across the five measured outcomes as indicated in Table 2 (Bashkov & Finney, 2013). Further, the high correlations between the premeasures and postmeasures across the five measured factors illustrate additional support for their construct and/or predictive validity, suggesting that despite the significant mean differences from preprogram to postprogram, items were measuring the same construct.…”
Section: Discussionsupporting
confidence: 58%
“…This was followed by a confirmatory factor analysis (CFA) (n = 222) to confirm the result gained from the EFA. To investigate whether the instrument functions equally for both biology majors and non-majors, measurement invariance was examined (Bashkov & Finney, 2013;Vandenberg & Lance, 2000). EFA was run using the R package psych (Revelle, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…To investigate whether the interest instrument functioned equally for biology majors and non-biology majors, measurement invariance was examined (Bashkov & Finney, 2013;Vandenberg & Lance, 2000). If the instrument is invariant between the groups of interest, it means that the researcher could confidently use the instrument to compare the two groups with respect to the latent score achieved from the instrument.…”
Section: Measurement Invariancementioning
confidence: 99%
“…One important precondition to studying OC developments is a certain degree of malleability, which allows one to analyze the effect on, or of, OC changes. From a methodological point of view, temporal or longitudinal construct stability or malleability refers to the lack of change, or existence of change, in the construct over time, respectively (Bashkov and Finney, 2013). Typically, researchers apply repeated measures designs with at least two time points (ideally at least three time points) to examine rank order or mean-level consistency or change, to draw inferences about construct stability or malleability (Marsh and Grayson, 1994).…”
Section: Development Of Occupational Commitment Over Timementioning
confidence: 99%