The role of factorial invariance in modeling growth and change.

By W. Meredith, J. Horn. 2001

292 citations recorded by the source corpus.

Subfields: Education, Experimental and Cognitive Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3ea4dd0d7321e57fe84363892460ed595d2acfa2

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In Education

In Experimental and Cognitive Psychology

In Management Science and Operations Research

Citations in the corpus

Understanding Parameter Invariance in Unidimensional IRT Models (2006, background): “The mathematical relationships that define parameter invariance are, of course, not novel per se and can be found, albeit often more cryptically, in other sources (e.g., Lord, 1980; Meredith, 1993; Meredith & Horn, 2001).”
Testing Measurement Invariance in Longitudinal Data with Ordered-Categorical Measures (2016, unknown): “…in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. constructs measured with continuous indicators have been extensively developed for both cross-sectional (Meredith, 1993; Widaman & Reise, 1997) and longitudinal data structures (e.g., Khoo et al., 2006; Meredith & Horn, 2001).”
The structure of executive function in 3-year-old children (2010, unknown): “…parameters were constrained to equality across groups using model fit statistics and v2 difference tests to determine whether the same measurement model, with the same factors, loadings, intercepts, and/or residual variances, applies to both subgroups (Meredith, 1993; Meredith & Horn, 2001).”
Do Self-Report Instruments Allow Meaningful Comparisons Across Diverse Population Groups?: Testing Measurement Invariance Using the Confirmatory Factor Analysis Framework (2006, background): “Longitudinal factorial invariance concerns the invariance of corresponding parameters across time within a population group.(36) We only address cross-sectional factorial invariance.”
Measurement Invariance for Latent Constructs in Multiple Populations (2012, background): “The latter condition is frequently called configural invariance (CI; Meredith & Horn, 2001) and will play an important role later in the article.”
Measurement invariance in confirmatory factor analysis: an illustration using IQ test performance of minorities (2010, background): “One may look at intercept differences as occurring because of a group difference in the specific ability tapped by the corresponding indicator (Meredith & Horn, 2001; Millsap & Meredith, 2007).”
The generality-specificity of creativity: Exploring the structure of creative potential with EPoC (2016, background): “Finally, because the uniqueness of each task contains both measurement error and specific factors tapped by that particular task (Meredith & Horn, 2001), uniqueness was further partitioned into two components reflecting (4a) measurement errorvariance (1 - r xx ) as well as other unmodeled variance…”
A Comparison of Latent Growth Models for Constructs Measured by Multiple Items (2007, background): “Because weak invariance is the minimum level of invariance that allows the inference that the same construct is being measured at each occasion (Meredith & Horn, 2001), it is desirable that the chi-square statistic is positively biased when there is configural invariance, because that would…”
Exploring adolescent self-defining leisure activities and identity experiences across three countries (2005, background): “…of nested models and incrementally testing for configural invariance (salient factor loadings same across groups), weak invariance (salient loadings are equal across groups), and strong invariance (salient loadings and covariances are equal across groups) (Meredith, 1993; Meredith & Horn, 2001).”