J
Joel R. Levin
Researcher at University of Arizona
Publications - 334
Citations - 17201
Joel R. Levin is an academic researcher from University of Arizona. The author has contributed to research in topics: Mnemonic & Recall. The author has an hindex of 63, co-authored 327 publications receiving 16260 citations. Previous affiliations of Joel R. Levin include University of Wisconsin-Madison & Wisconsin Center for Education Research.
Papers
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Single-Case Designs Technical Documentation.
Journal ArticleDOI
Single-Case Intervention Research Design Standards
Thomas R. Kratochwill,John H. Hitchcock,Robert H. Horner,Joel R. Levin,Samuel L. Odom,David Rindskopf,William R. Shadish +6 more
TL;DR: The panel provides an overview of the SCD standards recommended by the panel (henceforth referred to as the Standards) and adopted in Version 1.0 of the WWC’s official pilot standards.
Journal ArticleDOI
Pictorial Illustrations Still Improve Students' Learning From Text
Russell N. Carney,Joel R. Levin +1 more
TL;DR: In this paper, the authors explored the "whys, why, how, and how muchs" of picture facilitation in text illustration and provided several "tenets for teachers" in relation to each type.
Journal ArticleDOI
Statistical Practices of Educational Researchers: An Analysis of their ANOVA, MANOVA, and ANCOVA Analyses:
H. J. Keselman,Carl J. Huberty,Lisa M. Lix,Stephen Olejnik,Robert A. Cribbie,Barbara Donahue,Rhonda K. Kowalchuk,Laureen L. Lowman,Martha D. Petoskey,Joanne C. Keselman,Joel R. Levin +10 more
TL;DR: This article examined the use of data analysis tools by researchers in four research paradigms: between-subjects univariate, multivariate, repeated measures, and covariance designs, concluding that researchers rarely verify that validity assumptions are satisfied and that, accordingly, they typically use analyses that are nonrobust to assumption violations.
Book
Single-case research design and analysis : new directions for psychology and education
TL;DR: Busk and Marascuilo as discussed by the authors presented a meta-analysis for single-case research with a focus on the effect of social interaction on the performance of single-subject experiments.