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Young, Cristobal – Sociological Methods & Research, 2019
The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…
Descriptors: Causal Models, Predictor Variables, Research Methodology, Ambiguity (Context)
Howell, Roy D.; Breivik, Einar – Measurement: Interdisciplinary Research and Perspectives, 2016
In this article, Roy Howell, and Einar Breivik, congratulate Aguirre-Urreta, M. I., Rönkkö, M., & Marakas, G. M., for their work (2016) "Omission of Causal Indicators: Consequences and Implications for Measurement," Measurement: Interdisciplinary Research and Perspectives, 14(3), 75-97. doi:10.1080/15366367.2016.1205935. They call it…
Descriptors: Causal Models, Measurement, Predictor Variables
Gabriele, Alison – Second Language Research, 2021
This commentary discusses Westergaard's (2021) keynote article, which presents a comprehensive model of first language (L1), second language (L2), and third language (L3) acquisition. The commentary presents evidence from a previous study of L3 learners that provides support for Westergaard's property-by-property transfer proposal. The commentary…
Descriptors: Multilingualism, Second Language Learning, Native Language, Linguistic Theory
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
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
Berliner, David C. – Teacher Educator, 2013
In the United States, but not only here, the movement to evaluate teachers based on student test scores has received powerful political and parental support. The logic is simple. From one testing occasion to another students should show growth in their knowledge and skill. Similar types of students should show similar patterns of growth. Those…
Descriptors: Teacher Evaluation, Merit Pay, Evaluation Problems, Models
Dorans, Neil J. – Measurement: Interdisciplinary Research and Perspectives, 2010
Kane, Mroch, Suh, and Ripkey (2009) describe what they call five linear equating methods for the nonequivalent groups with anchor test (NEAT) design. The authors embed these methods within a two-dimensional framework. The first dimension contrasts what the authors call a parameter substitution (PS) approach what they call a chained linear…
Descriptors: Measures (Individuals), Equated Scores, Item Response Theory, Predictor Variables
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
Bodur, Yasar – International Journal for the Scholarship of Teaching and Learning, 2010
This article is a response to "Applying Graduate Student Perceptions of Task Engagement to Enhance Learning Conditions" by Jay Caulfield (2010). Caulfield's study on graduate students' perceptions of task engagement was an important one for people who are involved in graduate level teaching. The issues of motivation can easily be…
Descriptors: Graduate Students, Learning Motivation, Learner Engagement, Definitions
Yocco, Victor; Danter, Elizabeth H.; Heimlich, Joseph E.; Dunckel, Betty A.; Myers, Chris – Environmental Education Research, 2011
Modern zoological gardens have invested substantial resources in technology to deliver environmental education concepts to visitors. Investment in these media reflects a currently unsubstantiated belief that visitors will both use and learn from these media alongside more traditional and less costly displays. This paper proposes a model that…
Descriptors: Environmental Education, Performance Factors, Mass Media Effects, Mass Media Role
Leviton, Laura C.; Lipsey, Mark W. – New Directions for Evaluation, 2007
"Theory as Method: Small Theories of Treatments," by Mark W. Lipsey, is one of the most influential and highly cited articles to appear in "New Directions for Evaluation." It articulated an approach in which methods for studying causation depend, in large part, on what is known about the theory underlying the program. Lipsey discussed the benefits…
Descriptors: Attribution Theory, Research Design, Program Effectiveness, Causal Models
Peer reviewedEastman, Caroline M. – Journal of the American Society for Information Science, 1989
Presents a model which demonstrates that a previous finding of a positive correlation between research productivity and breadth of interest does not hold if one considers what the data would look like if the variables were independent. (CLB)
Descriptors: Correlation, Intellectual Disciplines, Models, Predictor Variables
Peer reviewedMaris, Ronald W. – Suicide and Life-Threatening Behavior, 1991
To predict suicide, explicit causal models of suicide outcome are needed in which predictors are temporally ordered and then tested statistically. Because suicide is a dichotomous, nominal scale outcome, only certain statistics for prediction are appropriate. Logistic regression, which utilizes the likelihood ratio test of statistical inference,…
Descriptors: Causal Models, Predictive Measurement, Predictor Variables, Research Design
Peer reviewedHanson, Sandra L.; Tuch, Steven A. – Journal of Marriage and the Family, 1984
Notes the inconsistent findings that characterize research on marital instability and proposes several potential methodological sources of these inconsistencies. Presents an illustrative application to data from two recent national representative probability samples. (JAC)
Descriptors: Etiology, Marital Instability, Models, Predictor Variables
Dijkstra, Sanne – Educational Technology, 1991
Discussion of learning how to solve problems focuses on instructional design models and how students construct their knowledge and learn skills. Topics discussed include conceptual knowledge; procedural knowledge and skills; knowledge representation; causal knowledge; types of knowledge and relevant skills; knowledge acquisition; prediction and…
Descriptors: Instructional Design, Learning Processes, Models, Predictor Variables

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