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Kim, Sooyeon; Linvingston, Samuel A.; Lewis, Charles – ETS Research Report Series, 2008
This paper describes an empirical evaluation of a Bayesian procedure for equating scores on test forms taken by small numbers of examinees, using collateral information from the equating of other test forms. In this procedure, a separate Bayesian estimate is derived for the equated score at each raw-score level, making it unnecessary to specify a…
Descriptors: Equated Scores, Statistical Analysis, Sample Size, Bayesian Statistics
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Sawyer, Jean; Chon, HeeCheong; Ambrose, Nicoline G. – Journal of Fluency Disorders, 2008
The purpose of the present study was (1) to determine whether speech rate, utterance length, and grammatical complexity (number of clauses and clausal constituents per utterance) influenced stuttering-like disfluencies as children became more disfluent at the end of a 1200-syllable speech sample [Sawyer, J., & Yairi, E. (2006). "The effect of…
Descriptors: Articulation (Speech), Sample Size, Stuttering, Morphemes
Van Vinkle, Michael Harvey – ProQuest LLC, 2009
Educators today were concerned with how the No Child Left Behind Act of 2001 dealt with the improvement of education throughout the United States. Schools should have put forth a greater effort and reduced the achievement gap between different groups of students based on race, gender, special education status, and if that student was economically…
Descriptors: Federal Legislation, Economically Disadvantaged, Academic Achievement, Teachers
Bright, Anita L. – ProQuest LLC, 2009
Successful completion of Algebra I is very important for all students in the United States, because it is a high-stakes, gatekeeper course that determines access to additional mathematics (and many science) courses. However, a substantial proportion of students with historically marginalized identities do not gain access to Algebra I until much…
Descriptors: Grade 9, Mathematics Teachers, Algebra, Mathematics Education
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Zientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
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Marsh, Herbert W.; Bornmann, Lutz; Mutz, Rudiger; Daniel, Hans-Dieter; O'Mara, Alison – Review of Educational Research, 2009
Peer review is valued in higher education, but also widely criticized in terms of potential biases, particularly gender. We evaluate gender differences in peer reviews of grant applications, extending Bornmann, Mutz, and Daniel's meta-analyses that reported small gender differences in favor of men (d = 0.04), but a substantial heterogeneity in…
Descriptors: Effect Size, Gender Differences, Grants, Peer Evaluation
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Algina, James; Moulder, Bradley C.; Moser, Barry K. – Multivariate Behavioral Research, 2002
Studied the sample size requirements for accurate estimation of squared semi-partial correlation coefficients through simulation studies. Results show that the sample size necessary for adequate accuracy depends on: (1) the population squared multiple correlation coefficient (p squared); (2) the population increase in p squared; and (3) the…
Descriptors: Correlation, Estimation (Mathematics), Sample Size
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Sawilowsky, Shlomo S.; Hillman, Stephen B. – Journal of Consulting and Clinical Psychology, 1992
Notes that studies in psychology often have low power because of inadequate sample size and that prevalent psychometric distributions are sometimes radically nonnormal. Demonstrates robustness of independent samples t-test with respect to Type I error. Shows that researchers may use power tables based on population normality without modification…
Descriptors: Psychometrics, Research Problems, Sample Size
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Feldt, Leonard S.; Ankenmann, Robert D. – Applied Psychological Measurement, 1998
Developed a graphical method of determining adequate sample size based on the power of L. Feldt's (1969) test of the difference between two values of Cronbach's alpha coefficient. Discusses assumptions on which this approach is based. (SLD)
Descriptors: Comparative Analysis, Reliability, Sample Size
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Tuerlinckx, Francis; De Boeck, Paul – Applied Psychological Measurement, 1999
Conducted a simulation study to determine how well two models for local item dependency, the constant order interaction and the dimension-dependent interaction models, could be distinguished. Results suggest that when there is good reason to suspect a dimension-dependent interaction, it is possible to detect it if the sample size is at least 500.…
Descriptors: Interaction, Models, Sample Size, Simulation
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Mundfrom, Daniel J.; Shaw, Dale G.; Ke, Tian Lu – International Journal of Testing, 2005
There is no shortage of recommendations regarding the appropriate sample size to use when conducting a factor analysis. Suggested minimums for sample size include from 3 to 20 times the number of variables and absolute ranges from 100 to over 1,000. For the most part, there is little empirical evidence to support these recommendations. This…
Descriptors: Simulation, Factor Analysis, Sample Size
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Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2007
The increase in the squared multiple correlation coefficient ([Delta]R[squared]) associated with a variable in a regression equation is a commonly used measure of importance in regression analysis. The coverage probability that an asymptotic and percentile bootstrap confidence interval includes [Delta][rho][squared] was investigated. As expected,…
Descriptors: Probability, Intervals, Multiple Regression Analysis, Correlation
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Maydeu-Olivares, Alberto; Hernandez, Adolfo – Multivariate Behavioral Research, 2007
The interpretation of a Thurstonian model for paired comparisons where the utilities' covariance matrix is unrestricted proved to be difficult due to the comparative nature of the data. We show that under a suitable constraint the utilities' correlation matrix can be estimated, yielding a readily interpretable solution. This set of identification…
Descriptors: Identification, Structural Equation Models, Matrices, Comparative Analysis
Cox, Devonda Kaye – ProQuest LLC, 2010
This study reviewed the effects of change, fatigue and transformation of low-performing schools while implementing an instructional Design rather than an instructional program. The study investigated the relationship of the America's Choice, Inc. schools with the configuration of the grades 6-8 scores compared to the scores of the state average…
Descriptors: School Effectiveness, Low Achievement, Grade 6, Grade 7
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Tyler, Kenneth; Love, Keisha; Brown, Carrie; Roan-Belle, Clarissa; Thomas, Deneia; Garriott, Patton O. – International Journal of Teaching and Learning in Higher Education, 2010
This study examined relationships between home-based communal activities and beliefs and student reports of various achievement correlates with 290 black and white undergraduates. MANOVA procedures examined differences in self-esteem, self-efficacy, identified motivation, motivation to know, and amotivation and scores on Home Communalism Measure…
Descriptors: Self Efficacy, Motivation, Racial Differences, Academic Achievement
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