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Super, Charles M.; Harkness, Sara – New Directions for Child and Adolescent Development, 2020
In this commentary we first examine psychometric issues in the ambitious enterprise of cross-cultural application of the Parental Burnout Assessment (PBA). The present reports span a wide range of cultural places. Overall, the PBA presents good face validity and a strong replication of factor structure; future multi-group confirmatory factor…
Descriptors: Parent Attitudes, Burnout, Cross Cultural Studies, Attitude Measures
Kettler, Ryan J. – School Psychology International, 2020
This article is a commentary on McGill et al.'s (2020) article "Use of Translated and Adapted Versions of the WISC-V: Caveat Emptor." McGill et al. use caveat emptor in their title to indicate that the buyer of an assessment must be careful about the product being purchased, presumably because the seller of the assessment is not being…
Descriptors: Children, Intelligence Tests, Translation, Test Reliability
Rhemtulla, Mijke; Borsboom, Denny; van Bork, Riet – Measurement: Interdisciplinary Research and Perspectives, 2017
In his focus article, "Rethinking Traditional Methods of Survey Validation" in this v15 n2 2017 issue of "Journal Measurement: Interdisciplinary Research and Perspectives," Andrew Maul writes that it is commonly believed that self-report, survey-based instruments can be used to measure a wide range of psychological attributes,…
Descriptors: Psychometrics, Measurement Techniques, Factor Analysis, Surveys
Bentler, Peter M. – Measurement: Interdisciplinary Research and Perspectives, 2016
The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…
Descriptors: Causal Models, Factor Analysis, Prediction, Scores
Markus, Keith A. – Measurement: Interdisciplinary Research and Perspectives, 2016
In their 2016 work, Aguirre-Urreta et al. provided a contribution to the literature on causal measurement models that enhances clarity and stimulates further thinking. Aguirre-Urreta et al. presented a form of statistical identity involving mapping onto the portion of the parameter space involving the nomological net, relationships between the…
Descriptors: Causal Models, Measurement, Criticism, Concept Mapping
Davenport, Ernest C.; Davison, Mark L.; Liou, Pey-Yan; Love, Quintin U. – Educational Measurement: Issues and Practice, 2016
The main points of Sijtsma and Green and Yang in Educational Measurement: Issues and Practice (34, 4) are that reliability, internal consistency, and unidimensionality are distinct and that Cronbach's alpha may be problematic. Neither of these assertions are at odds with Davenport, Davison, Liou, and Love in the same issue. However, many authors…
Descriptors: Educational Assessment, Reliability, Validity, Test Construction
Wiebe, Sandra A.; McFall, G. Peggy – Measurement: Interdisciplinary Research and Perspectives, 2014
Since Miyake and his colleagues (2000) published their seminal paper on the use of confirmatory factor analysis (CFA) to parse executive function (EF), CFA methods have become ubiquitous in EF research. In their interesting and thoughtful Focus article, "Executive Function: Formative Versus Reflective Measurement," Willoughby and…
Descriptors: Executive Function, Cognitive Measurement, Factor Analysis, Individual Development
Eid, Michael; Koch, Tobias – Measurement: Interdisciplinary Research and Perspectives, 2014
Higher-order factor analysis is a widely used approach for analyzing the structure of a multidimensional test. Whenever first-order factors are correlated researchers are tempted to apply a higher-order factor model. But is this reasonable? What do the higher-order factors measure? What is their meaning? Willoughby, Holochwost, Blanton, and Blair…
Descriptors: Factor Analysis, Measurement, Theories, Executive Function
Peterson, Eric; Welsh, Marilyn C. – Measurement: Interdisciplinary Research and Perspectives, 2014
Research into executive functioning (EF) has indeed grown exponentially across the past few decades, but as the Willoughby et al. critique makes clear, there remain fundamental questions to be resolved. The crux of their argument is built upon an examination of the confirmatory factor analysis (CFA) approach to understanding executive processes.…
Descriptors: Executive Function, Measurement, Factor Analysis, Reliability
Wagner, Richard K.; Herrera, Sarah K.; Spencer, Mercedes; Quinn, Jamie M. – Journal of Learning Disabilities, 2015
Recently, Tunmer and Chapman provided an alternative model of how decoding and listening comprehension affect reading comprehension that challenges the simple view of reading. They questioned the simple view's fundamental assumption that oral language comprehension and decoding make independent contributions to reading comprehension by arguing…
Descriptors: Reading Comprehension, Decoding (Reading), Listening Comprehension, Oral Language
Willoughby, Michael T. – Grantee Submission, 2014
The focus article (Willoughby et al., 2014) (1) introduced the distinction between formative and reflective measurement and (2) proposed that performance-based executive function tasks may be better conceptualized from the perspective of formative rather than reflective measurement. This proposal stands in sharp contrast to conventional…
Descriptors: Executive Function, Formative Evaluation, Cognitive Measurement, Factor Analysis
Edwards, Michael C. – Measurement: Interdisciplinary Research and Perspectives, 2013
This author has had the privilege of knowing Professor Maydeu-Olivares for almost a decade and although their paths cross only occasionally, such instances were always enjoyable and enlightening. Edwards states that Maydeu-Olivares' target article for this issue, ("Goodness-of-Fit Assessment of Item Response Theory Models") provides…
Descriptors: Goodness of Fit, Item Response Theory, Models, Factor Analysis
Jordan, Pascal; Spiess, Martin – Psychometrika, 2012
Maximum likelihood and Bayesian ability estimation in multidimensional item response models can lead to paradoxical results as proven by Hooker, Finkelman, and Schwartzman ("Psychometrika" 74(3): 419-442, 2009): Changing a correct response on one item into an incorrect response may produce a higher ability estimate in one dimension.…
Descriptors: Item Response Theory, Statistical Analysis, Factor Analysis, Generalization
Muthen, Bengt; Asparouhov, Tihomir – Psychological Methods, 2012
This rejoinder discusses the general comments on how to use Bayesian structural equation modeling (BSEM) wisely and how to get more people better trained in using Bayesian methods. Responses to specific comments cover how to handle sign switching, nonconvergence and nonidentification, and prior choices in latent variable models. Two new…
Descriptors: Structural Equation Models, Bayesian Statistics, Factor Analysis, Statistical Analysis
Canivez, Gary L.; Kush, Joseph C. – Journal of Psychoeducational Assessment, 2013
Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…
Descriptors: Intelligence Tests, Factor Structure, Comparative Analysis, Arithmetic