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Salverda, Anne Pier – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Lieberman, Borovsky, Hatrak, and Mayberry (2015) used a modified version of the visual-world paradigm to examine the real-time processing of signs in American Sign Language. They examined the activation of phonological and semantic competitors in native signers and late-learning signers and concluded that their results provide evidence that the…
Descriptors: American Sign Language, Deafness, Native Speakers, Second Language Learning
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
von Eye, Alexander – International Journal of Developmental Science, 2015
The concepts and paradigms "development", "evolution", and "developmental behavior genetics" target, in their statements, populations. The laws of genetics and evolution are supposed to apply to every single case in a population. It can be counted among the major contributions of Gottlieb (1992, 1995) to have pointed…
Descriptors: Individual Differences, Individual Development, Scientific Research, Genetics
Schattner, Peter – Journal of Biological Education, 2015
Can learning molecular biology and genetics be enjoyable? Of course it can. Biologists know their field is exciting and fascinating and that learning how cells and molecules shape the living world is extraordinarily interesting. But can students who are not already inclined towards science also be convinced that learning molecular biology is…
Descriptors: Molecular Biology, Teaching Methods, Science Instruction, Student Motivation
Oberski, Daniel L.; Vermunt, Jeroen K. – Measurement: Interdisciplinary Research and Perspectives, 2013
These authors congratulate Albert Maydeu-Olivares on his lucid and timely overview of goodness-of-fit assessment in IRT models, a field to which he himself has contributed considerably in the form of limited information statistics. In this commentary, Oberski and Vermunt focus on two aspects of model fit: (1) what causes there may be of misfit;…
Descriptors: Goodness of Fit, Item Response Theory, Models, Test Bias
Bowers, Jeffrey S.; Davis, Colin J. – Psychological Bulletin, 2012
Griffiths, Chater, Norris, and Pouget (2012) argue that we have misunderstood the Bayesian approach. In their view, it is rarely the case that researchers are making claims that performance in a given task is near optimal, and few, if any, researchers adopt the theoretical Bayesian perspective according to which the mind or brain is actually…
Descriptors: Bayesian Statistics, Psychology, Brain, Theories
Molenaar, Peter C. M. – International Journal of Developmental Science, 2015
The main theme of this paper concerns the persistent critique of Gilbert Gottlieb on developmental behavior genetics and my reactions to this critique, the latter changing from rejection to complete acceptation. Concise characterizations of developmental behavior genetics, developmental systems theory (to which Gottlieb made essential…
Descriptors: Genetics, Individual Differences, Criticism, Scientific Research
Francis, Gregory – Journal of Experimental Psychology: General, 2013
Elliot et al. (2010) reported multiple experimental findings that the color red modified women's ratings of attractiveness, sexual desirability, and status of a photographed man. An analysis of the reported statistics of these studies indicates that the experiments lack sufficient power to support these claims. Given the power of the experiments,…
Descriptors: Color, Interpersonal Attraction, Females, Experiments
Imai, Kosuke – Journal of Research on Educational Effectiveness, 2012
The author begins this discussion by thanking Larry Hedges, the editor of the journal, for giving him an opportunity to provide a commentary on this stimulating article. He also would like to congratulate the authors of the article for their insightful discussion on causal mediation analysis, which is one of the most important and challenging…
Descriptors: Statistical Analysis, Attribution Theory, Probability, Statistical Bias
Edelsbrunner, Peter; Schneider, Michael – Frontline Learning Research, 2013
Musso et al. (2013) predict students' academic achievement with high accuracy one year in advance from cognitive and demographic variables, using artificial neural networks (ANNs). They conclude that ANNs have high potential for theoretical and practical improvements in learning sciences. ANNs are powerful statistical modelling tools but they can…
Descriptors: Prediction, Statistical Analysis, Structural Equation Models, Academic Achievement
Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
Koski, William S.; Horng, Elieen L. – Educational Evaluation and Policy Analysis, 2014
In this invited response to Moe and Anzia (2014), we describe both the points of convergence and divergence between our prior research (2007a, 2007b) and that of Moe (2005) and Moe and Anzia (2014). We also respond to Moe and Anzia's critique of our published work. Moe and Anzia's study helps to refine the policy discussion around seniority…
Descriptors: Collective Bargaining, Teacher Competencies, Disadvantaged Schools, Teacher Transfer
Loken, Eric – Measurement: Interdisciplinary Research and Perspectives, 2012
Von Davier, Naemi, and Roberts (this issue) present a nice summary of the statistical ambiguity often encountered in making distinctions between qualitative and quantitative constructs. In this commentary, the author begins with two broad points. The first is that the mixture/factor arguments are most intriguing when firmly embedded in a…
Descriptors: Models, Statistical Analysis, Classification, Goodness of Fit
Mooijaart, Ab; Satorra, Albert – Psychometrika, 2012
Starting with Kenny and Judd ("Psychol. Bull." 96:201-210, 1984) several methods have been introduced for analyzing models with interaction terms. In all these methods more information from the data than just means and covariances is required. In this paper we also use more than just first- and second-order moments; however, we are aiming to…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Statistical 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