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Li, Wei; Konstantopoulos, Spyros – Educational and Psychological Measurement, 2017
Field experiments in education frequently assign entire groups such as schools to treatment or control conditions. These experiments incorporate sometimes a longitudinal component where for example students are followed over time to assess differences in the average rate of linear change, or rate of acceleration. In this study, we provide methods…
Descriptors: Educational Experiments, Field Studies, Models, Randomized Controlled Trials
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Huang, Francis L.; Cornell, Dewey G. – Educational and Psychological Measurement, 2016
Bullying among youth is recognized as a serious student problem, especially in middle school. The most common approach to measuring bullying is through student self-report surveys that ask questions about different types of bullying victimization. Although prior studies have shown that question-order effects may influence participant responses, no…
Descriptors: Victims of Crime, Bullying, Middle School Students, Measures (Individuals)
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Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
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Lix, Lisa M.; Deering, Kathleen N.; Fouladi, Rachel T.; Manivong, Phongsack – Educational and Psychological Measurement, 2009
This study considers the problem of testing the difference between treatment and control groups on m [greater than or equal to] 2 measures when it is assumed a priori that the treatment group will perform better than the control group on all measures. Two procedures are investigated that do not rest on the assumptions of covariance homogeneity or…
Descriptors: Control Groups, Experimental Groups, Outcomes of Treatment, Comparative Analysis
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Sparfeldt, Jorn R.; Schilling, Susanne R.; Rost, Detlef H.; Thiel, Alexandra – Educational and Psychological Measurement, 2006
The notion of item context effects implies that psychometric properties of an item or scale are altered by the presentation format, for example, blocked versus randomized. In an experimental study with high school students, the experimental group (n = 407) answered a four-dimensional academic self-concept questionnaire, in which the items were…
Descriptors: Factor Structure, Self Concept, Questionnaires, Reliability
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Preece, Peter F.W. – Educational and Psychological Measurement, 1983
The difference between the success rates in two treatment groups is related to the treatment-outcome correlation and the overall success rate. A new measure of effect size is proposed, which is easily calculated and interpretable in terms of the ratio of success rates in the treatment groups. (Author/BW)
Descriptors: Correlation, Data Analysis, Effect Size, Experimental Groups
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Shine, Lester C., II – Educational and Psychological Measurement, 1982
For multi-subject experiments with all factors repeated (a single independent group of subjects), three multi-subject behavior functions are identified and analyzed. They are based on Shine's actualized and pure single-subject behavior functions extended to multi-subject experiments with some factors nonrepeated (several independent groups of…
Descriptors: Analysis of Variance, Behavior Patterns, Behavioral Science Research, Experimental Groups
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Frigon, Jean-Yves; Laurencelle, Louis – Educational and Psychological Measurement, 1993
The statistical power of analysis of covariance (ANCOVA) and its advantages over simple analysis of variance are examined in some experimental situations, and an algorithm is proposed for its proper application. In nonrandomized experiments, an ANCOVA is generally not a good approach. (SLD)
Descriptors: Algorithms, Analysis of Covariance, Analysis of Variance, Educational Research
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Feingold, Marcia – Educational and Psychological Measurement, 1992
A formula that is simpler to calculate than the Kappa statistic of J. Cohen is presented for the situation where each subject in an experiment is rated on a nominal scale by two or more judges. Equivalence with Pearson's chi-square statistic in this situation is demonstrated. (SLD)
Descriptors: Chi Square, Comparative Analysis, Data Analysis, Equations (Mathematics)
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Magee, Kevin N.; Overall, John E. – Educational and Psychological Measurement, 1992
Formulae for estimating individual rater reliabilities from analysis of treatment effects are presented and evaluated. Monte Carlo methods illustrate the formulae. Results indicate that large sample sizes, large true treatment effects, and large differences in the actual reliabilities of raters are required for the approach to be useful. (SLD)
Descriptors: Effect Size, Estimation (Mathematics), Experimental Groups, Mathematical Formulas
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Williams, Richard H. – Educational and Psychological Measurement, 1992
A QuickBASIC program is described that can be used to conduct Dunnett-like comparisons on a set of independent proportions. The statistical method used, based on Levy's statistical method (1975), is an extension of the well-known Dunnett test for multiple comparisons on means. (Author/SLD)
Descriptors: Comparative Analysis, Computer Software, Computer Software Reviews, Control Groups
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Plake, Barbara S. – Educational and Psychological Measurement, 1981
The methodology suggested in this paper employs a selection rule for identifying group members that generates groups that have a range of achievement within groups but equal distribution of raw scores between. (Author/BW)
Descriptors: Achievement Tests, Analysis of Variance, Elementary Education, Experimental Groups