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Lee, Nick; Chamberlain, Laura – Measurement: Interdisciplinary Research and Perspectives, 2016
Aguirre-Urreta, Rönkkö, and Marakas' (2016) paper in "Measurement: Interdisciplinary Research and Perspectives" (hereafter referred to as ARM2016) is an important and timely piece of scholarship, in that it provides strong analytic support to the growing theoretical literature that questions the underlying ideas behind causal and…
Descriptors: Measurement, Causal Models, Formative Evaluation, Evaluation Methods
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Widaman, Keith F. – Measurement: Interdisciplinary Research and Perspectives, 2014
Latent variable structural equation modeling has become the analytic method of choice in many domains of research in psychology and allied social sciences. One important aspect of a latent variable model concerns the relations hypothesized to hold between latent variables and their indicators. The most common specification of structural equation…
Descriptors: Structural Equation Models, Predictor Variables, Educational Research, Causal Models
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Pan, Tianshu; Yin, Yue – Psychological Methods, 2012
In the discussion of mean square difference (MSD) and standard error of measurement (SEM), Barchard (2012) concluded that the MSD between 2 sets of test scores is greater than 2(SEM)[superscript 2] and SEM underestimates the score difference between 2 tests when the 2 tests are not parallel. This conclusion has limitations for 2 reasons. First,…
Descriptors: Error of Measurement, Geometric Concepts, Tests, Structural Equation Models
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Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
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Hancock, Gregory R. – Measurement: Interdisciplinary Research and Perspectives, 2009
As Rupp and Templin (2008) stated directly, diagnostic classification methods "are confirmatory in nature." Methods, though, are neither inherently confirmatory nor exploratory. Diagnostic classification modeling, with its analytical and computational obstacles eventually yielding as a comprehensive and potent discipline emerges, will…
Descriptors: Structural Equation Models, Test Items, Models, Diagnostic Tests
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Niemivirta, Markku – Educational Psychology Review, 2006
This article comments on the target paper by Vollmeyer and Rheinberg. As the emphasis of this special issue is on the assessment of self-regulation in learning, my commentary will focus on the various aspects of the research design, measures, and analyses.
Descriptors: Evaluation Methods, Research Methodology, Learning Motivation, Self Management
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Sabatelli, Ronald M.; Bartle, Suzanne E. – Journal of Marriage and the Family, 1995
Presents a multidimensional conceptualization of family functioning that is embedded within a family systems framework. Discusses operational issues pertaining to the assessment of family functioning when conceived of as a complex and multidimensional construct, and explores measurement strategies and analytical approaches. (JPS)
Descriptors: Content Validity, Error of Measurement, Evaluation Methods, Family (Sociological Unit)