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Rossman, Allan; Nolan, Deborah – Journal of Statistics Education, 2015
Deborah Nolan is Professor of Statistics and holds the Zaffaroni Family Chair in Undergraduate Education at the University of California-Berkeley, where she has also served as Associate Dean of Mathematical and Physical Sciences. She is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. This interview…
Descriptors: Statistics, Interviews, Mathematics Education, Undergraduate Study
Samuelsen, Karen – Measurement: Interdisciplinary Research and Perspectives, 2012
The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As von Davier et al. state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure…
Descriptors: Models, Statistical Analysis, Classification, Factor Structure
Bloom, Howard S. – Journal of Research on Educational Effectiveness, 2012
In this article, the author shares his comments on statistical analysis for multisite trials, and focuses on the contribution of Stephen Raudenbush, Sean Reardon, and Takako Nomi to future research. Raudenbush, Reardon, and Nomi provide a major contribution to future research on variation in program impacts by showing how to use multisite trials…
Descriptors: Program Evaluation, Statistical Analysis, Computation, Program Effectiveness
Thissen, David – Measurement: Interdisciplinary Research and Perspectives, 2013
In this commentary, David Thissen states that "Goodness-of-fit assessment for IRT models is maturing; it has come a long way from zero." Thissen then references prior works on "goodness of fit" in the index of Lord and Novick's (1968) classic text; Yen (1984); Drasgow, Levine, Tsien, Williams, and Mead (1995); Chen and…
Descriptors: Goodness of Fit, Item Response Theory, Models, Statistical Analysis
Powers, Jeanne M. – National Education Policy Center, 2017
In this report, a school choice advocacy group presents results from its survey of K-12 parents within and across the public and private sectors. They report that parents are highly satisfied with voucher and tax credit scholarship programs and suggest that the findings support the expansion of school choice programs. However, these and other…
Descriptors: School Choice, Advocacy, Parent Attitudes, Parent Surveys
Kent, Allen – Journal of Education for Library and Information Science, 2015
The author was assigned the task to comment on the broad topic: "New sciences, technologies, and media--impact on education for librarianship (or libraries)." The author choose to emphasize "information science." Narrowing the subject down even further, in this article the author emphasizes some of the aspects of the…
Descriptors: Library Education, Information Science, Library Science, Educational Trends
Risks and Consequences of Oversimplifying Educational Inequities: A Response to Morgan et al. (2015)
Skiba, Russell J.; Artiles, Alfredo J.; Kozleski, Elizabeth B.; Losen, Daniel J.; Harry, Elizabeth G. – Educational Researcher, 2016
In this technical comment, we argue that Morgan et al.'s claim that there is no minority overrepresentation in special education is in error due to (a) sampling considerations, (b) inadequate support from previous and current analyses, and (c) their failure to consider the complexities of special education disproportionality. [For Morgan et al.'s…
Descriptors: Reader Response, Equal Education, Special Education, Minority Group Students
Evans, Laurel; Buehner, Marc J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
Fiedler and Kareev (2006) have claimed that taking a small sample of information (as opposed to a large one) can, in certain specific situations, lead to greater accuracy--beyond that gained by avoiding fatigue or overload. Specifically, they have argued that the propensity of small samples to provide more extreme evidence is sufficient to create…
Descriptors: Sample Size, Accuracy, Statistical Analysis, Evidence
Hardin, Andrew; Marcoulides, George A. – Educational and Psychological Measurement, 2011
The recent flurry of articles on formative measurement, particularly in the information systems literature, appears to be symptomatic of a much larger problem. Despite significant objections by methodological experts, these articles continue to deliver a predominately pro formative measurement message to researchers who rapidly incorporate these…
Descriptors: Measurement, Theories, Statistical Analysis, Psychometrics
Stenner, A. Jackson; Burdick, Donald S. – Measurement: Interdisciplinary Research and Perspectives, 2011
The last 50 years of human and social science measurement theory and practice have witnessed a steady retreat from physical science as the canonical model. Humphry unapologetically draws on metrology and physical science analogies to reformulate the relationship between discrimination and the unit. This brief note focuses on why this reformulation…
Descriptors: Physical Sciences, Measurement, Statistical Analysis, Social Sciences
Hashemi, Mohammad R. – Applied Linguistics, 2012
This commentary advocates the use of mixed methods research--that is the integration of qualitative and quantitative methods in a single study--in applied linguistics. Based on preliminary findings from a research project in progress, some reflections on the current practice of mixing methods as a new trend in applied linguistics are put forward.…
Descriptors: Language Research, Applied Linguistics, Research Methodology, Qualitative Research
Simonton, Dean Keith – Measurement: Interdisciplinary Research and Perspectives, 2012
The target article seems to provide yet another illustration of the classic "It don't make no nevermind" principle in statistical analysis. In particular, relatively simple measures appear to do approximately as well as more complex measures do, even including indicators that represent nonlinear transformations of the simpler measures. The authors…
Descriptors: Citation Analysis, Outcome Measures, Scholarship, Statistical Analysis
Rupp, Andre A. – Measurement: Interdisciplinary Research and Perspectives, 2012
In the focus article of this issue, von Davier, Naemi, and Roberts essentially coupled: (1) a short methodological review of structural similarities of latent variable models with discrete and continuous latent variables; and (2) 2 short empirical case studies that show how these models can be applied to real, rather than simulated, large-scale…
Descriptors: Models, Classification, Multivariate Analysis, Statistical 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
Dunne, Timothy T. – Measurement: Interdisciplinary Research and Perspectives, 2011
The challenge for a discussant of the Humphry article in this issue is that the profundity of the simple insights of the article, and the lucid arguments by which the insights are sustained, might be easily overlooked, undervalued, or misconstrued. At the risk of repeating major inferences already presented, one may note that the article…
Descriptors: Physics, Psychometrics, Measurement, Item Response Theory