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Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
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Stender, Steen; Dyerberg, Jørn; Astrup, Arne – Evidence & Policy: A Journal of Research, Debate and Practice, 2018
In this paper, Signild Vallgårda (SV) investigates why a ban against the use of industrially produced trans fatty acids in foods was introduced in Denmark as the first country in the world. SV correctly states that our part of, and activity in that process, represent a combination of scientific work and 'policymaking'. We, however object to some…
Descriptors: Foreign Countries, Food, Evidence, Data Interpretation
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Barrett, Paula M.; Cooper, Marita; Stallard, Paul; Zeggio, Larissa; Gallegos- Guajardo, Julia – Education and Treatment of Children, 2017
This response aims to critically evaluate the methodology and aims of the meta-analytic review written by Maggin and Johnson (2014). The present authors systematically provide responses for each of the original criticisms and highlight concerns regarding Maggin and Johnson's methodology, while objectively describing the current state of evidence…
Descriptors: Anxiety, Prevention, Program Effectiveness, Program Evaluation
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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
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Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity
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Twing, Jon S. – Assessment in Education: Principles, Policy & Practice, 2016
This special issue of "Assessment in Education" contains the type of debate needed about what Cizek (2015) calls a "… lingering flaw in the concept of validity…." Some practitioners might not agree that the current theory of validation is flawed. Specifically, the debate Jon Twing is referencing concerns the role of the…
Descriptors: Test Validity, Misconceptions, Evidence, Scores
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Rhemtulla, Mijke; van Bork, Riet; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2015
In this commentary, Mijke Rhemtulla, Riet van Bork, and Denny Borsboom write that they were delighted to see Bainter and Bollen's paper as a focus article in "Measurement." In their view, psychological researchers who use SEM rely too reflexively on reflective measurement, without sufficiently considering whether their indicators are…
Descriptors: Causal Models, Measurement, Data Interpretation, Statistical Data
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Borsboom, Denny; Wijsen, Lisa D. – Assessment in Education: Principles, Policy & Practice, 2016
The distinction between facts and moral values is highly desirable: science and politics should keep to their own territories. Traditionally speaking, science can be seen as an ivory tower, which attempts to do its job in isolation of external influences. Politics does not mandate methods of scientific research or standards of justification;…
Descriptors: Validity, Sciences, Politics, Definitions
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Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…
Descriptors: Causal Models, Measurement, Data Interpretation, Structural Equation Models
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Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
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Slayter, Erik; Higgins, Lindsey M. – College Teaching, 2018
The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999; Stephenson and Caravello 2007). Data literacy, the ability to understand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013; Stephenson and Caravello,…
Descriptors: Problem Based Learning, Teaching Methods, Computer Software, Decision Making
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Chapman, James W.; Tunmer, William E. – Australian Journal of Learning Difficulties, 2016
In critiquing our paper on "The literacy performance of ex-Reading Recovery students between two and four years following participation in the program: Is this intervention effective for students with early reading difficulties?", Schwartz argues that we have engaged in pursuing political and ideological agendas as part of our ongoing…
Descriptors: Foreign Countries, Reading Programs, Reading Difficulties, Early Intervention
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Adler, Moshe – Education Policy Analysis Archives, 2013
The authors of the study "The Long-Term Impact of Teachers" claim that their study shows that increases in teacher value-added lead to significant and lasting increases in test scores and significant increases in income that will last throughout adulthood. Instead, I show that these claims are false because they are contradicted by the…
Descriptors: Teacher Effectiveness, Academic Achievement, Income, Scores
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Martineau, Joseph A.; Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary of a paper by Derek C. Briggs and Frederick A. Peck, "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth," which describes an elegant potential framework for at least beginning to address three priorities in large-scale assessment that have not been…
Descriptors: Performance Factors, Barriers, Program Implementation, Group Testing
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Tienken, Christopher H. – Kappa Delta Pi Record, 2013
Secretary of Education Duncan (2010) lamented the state of U.S. education in 2010 after the release of the results from the 2009 Programme for International Student Assessment (PISA). He wrote: "Unfortunately, the 2009 PISA results show that American students are poorly prepared to compete in today's knowledge economy. President Obama has…
Descriptors: Achievement Rating, Comparative Education, Comparative Analysis, Comparative Testing
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