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Hwang, Yooyeun; Levin, Joel R. – Journal of Education for Students Placed at Risk, 2023
Recently developed randomized-test procedures for two independent-samples single-case designs are presented and applied to a memory-strategy intervention study with eight underperforming students from low SES backgrounds. Research design aspects, data-analysis features, and various output measures are provided to demonstrate the potential utility…
Descriptors: Research Design, Case Studies, Memory, Intervention
Kittelman, Angus; Gion, Cody; Horner, Robert H.; Levin, Joel R.; Kratochwill, Thomas R. – Remedial and Special Education, 2018
We argue in this article that there are conditions in which publication of negative results can make a useful contribution. Three small-scale examinations of journal publication criteria for publishing negative results were conducted. We first reviewed 29 journals from education and school/counseling psychology to assess author submission…
Descriptors: Standards, Media Research, Periodicals, Quasiexperimental Design
Kratochwill, Thomas R.; Levin, Joel R.; Horner, Robert H. – Remedial and Special Education, 2018
The central roles of science in the field of remedial and special education are to (a) identify basic laws of nature and (b) apply those laws in the design of practices that achieve socially valued outcomes. The scientific process is designed to allow demonstration of specific (typically positive) outcomes, and to assist in the attribution of…
Descriptors: Intervention, Educational Research, Research Methodology, Case Studies
Hitchcock, John H.; Horner, Robert H.; Kratochwill, Thomas R.; Levin, Joel R.; Odom, Samuel L.; Rindskopf, David M.; Shadish, William R. – Remedial and Special Education, 2014
In this article, we respond to Wolery's critique of the What Works Clearinghouse (WWC) pilot "Standards," which were developed by the current authors. We do so to provide additional information and clarify some points previously summarized in this journal. We also respond to several concerns raised by Maggin, Briesch, and Chafouleas…
Descriptors: Research Design, Standards, Evidence, Clearinghouses
Levin, Joel R.; Ferron, John M.; Kratochwill, Thomas R. – Journal of School Psychology, 2012
In this four-investigation Monte Carlo simulation study, we examined the properties of nonparametric randomization and permutation statistical tests applied to single-case ABAB...AB and alternating treatment designs based on either systematically alternating or randomly determined phase assignments. Contrary to previous admonitions, when…
Descriptors: Intervention, Research Design, Nonparametric Statistics, School Psychology
Kratochwill, Thomas R.; Levin, Joel R. – Psychological Methods, 2010
In recent years, single-case designs have increasingly been used to establish an empirical basis for evidence-based interventions and techniques in a variety of disciplines, including psychology and education. Although traditional single-case designs have typically not met the criteria for a randomized controlled trial relative to conventional…
Descriptors: Research Design, Intervention, Evidence, Educational Research

Betz, M. Austin; Levin, Joel R. – Journal of Educational Statistics, 1982
Logically consistent hypothesis-testing for factorial analysis of variance designs is proposed in the context of a hierarchical model. It is shown that all of the hypotheses associated with the traditional factorial model are conceptually independent and occupy the lowest levels of the hierarchy. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Models

Kratochwill, Thomas R.; Levin, Joel R. – Contemporary Educational Psychology, 1978
The promise of time-series designs for educational research and evaluation is reviewed. Ten time-series designs are presented and discussed in the context of threats to internal and external validity. The advantages and disadvantages of various visual and statistical data-analysis techniques are presented. A bibliography is appended. (Author/RD)
Descriptors: Case Studies, Data Analysis, Educational Research, Research Design

Levin, Joel R. – Mid-Western Educational Researcher, 1992
Discusses common beliefs and flaws in classroom research. Distinguishes among three kinds of empirical educational investigations. Suggests research designs which are considered to be sensible, selective, sound, sensitive, and simple. Describes designs using multiple classrooms for instructional-intervention experiments. (KS)
Descriptors: Classroom Research, Elementary Secondary Education, Research Design, Research Methodology

Levin, Joel R.; Subkoviak, Michael J. – Applied Psychological Measurement, 1978
Comments (TM 503 706) on an earlier article (TM 503 420) concerning the comparison of the completely randomized design and the randomized block design are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified. (See also TM 503 708). (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Levin, Joel R.; Wampold, Bruce E. – School Psychology Quarterly, 1999
Presents a general class of single-case statistical procedures derived from previously developed nonparametric randomization tests. Designs are illustrated that focus on the general and comparative effectiveness of alternative interventions, multiple units with differentiable characteristics, and multiple outcome measures. Provides operational…
Descriptors: Behavioral Science Research, Educational Research, Intervention, Predictor Variables

Levin, Joel R. – Journal of Educational Measurement, 1975
A set procedure developed in this study is useful in determining sample size, based on specification of linear contrasts involving certain formula treatments. (Author/DEP)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Measurement Techniques

Levin, Joel R.; Subkoviak, Michael J. – Applied Psychological Measurement, 1977
Textbook calculations of statistical power or sample size follow from formulas that assume that the variables under consideration are measured without error. However, in the real world of behavioral research, errors of measurement cannot be neglected. The determination of sample size is discussed, and an example illustrates blocking strategy.…
Descriptors: Analysis of Covariance, Analysis of Variance, Error of Measurement, Hypothesis Testing