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Peer reviewedAlgina, James – Educational and Psychological Measurement, 1998
In this study, the Statistical Analysis System (SAS) was used to program power calculations for multiple comparisons of two groups on "p" variables. Three programs were prepared to accommodate variations in the information that may be available to do the power analysis. (Author/SLD)
Descriptors: Comparative Analysis, Computer Software, Power (Statistics), Sample Size
Peer reviewedMuniz, Jose; Hambleton, Ronald K.; Xing, Dehui – International Journal of Testing, 2001
Studied two procedures for detecting potentially flawed items in translated tests with small samples: (1) conditional item "p" value comparisons; and (2) delta plots. Varied several factors in this simulation study. Findings show that the two procedures can be valuable in identifying flawed test items, especially when the size of the…
Descriptors: Identification, Sample Size, Simulation, Test Items
Kim, Kevin H. – Structural Equation Modeling, 2005
The relation among fit indexes, power, and sample size in structural equation modeling is examined. The noncentrality parameter is required to compute power. The 2 existing methods of computing power have estimated the noncentrality parameter by specifying an alternative hypothesis or alternative fit. These methods cannot be implemented easily and…
Descriptors: Structural Equation Models, Sample Size, Goodness of Fit
Lall, Vanessa F.; Levin, Joel R. – Journal of School Psychology, 2004
Adapting Edgington's [J. Psychol. 90 (1975) 57] randomly determined intervention start-point model, Levin and Wampold [Sch. Psychol. Quart. 14 (1999) 59] proposed a set of nonparametric randomization tests for analyzing the data from single-case designs. In the present study, the performance of Levin and Wampold's four basic tests (independent…
Descriptors: Intervention, Tests, Sample Size, Effect Size
Battaglia, Francesco P.; Sutherland, Gary R.; McNaughton, Bruce L. – Learning & Memory, 2004
The sleeping neocortex shows nested oscillatory activity in different frequency ranges, characterized by fluctuations between "up-states" and "down-states." High-density neuronal ensemble recordings in rats now reveal the interaction between synchronized activity in the hippocampus and neocortex: Electroencephalographic sharp…
Descriptors: Long Term Memory, Animals, Sample Size, Intervals
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Puhan, Gautam; Moses, Tim P.; Yu, Lei; Dorans, Neil J. – ETS Research Report Series, 2007
The purpose of the current study was to examine whether log-linear smoothing of observed score distributions in small samples results in more accurate differential item functioning (DIF) estimates under the simultaneous item bias test (SIBTEST) framework. Data from a teacher certification test were analyzed using White candidates in the reference…
Descriptors: Test Bias, Computation, Sample Size, Accuracy
Seco, Guillermo Vallejo; Gras, Jaime Arnau; Garcia, Manuel Ato – Educational and Psychological Measurement, 2007
This study evaluated the robustness of two recent methods for analyzing multivariate repeated measures when the assumptions of covariance homogeneity and multivariate normality are violated. Specifically, the authors' work compares the performance of the modified Brown-Forsythe (MBF) procedure and the mixed-model procedure adjusted by the…
Descriptors: Sample Size, Robustness (Statistics), Monte Carlo Methods, Multivariate Analysis
Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G. – Journal of Mixed Methods Research, 2007
A sequential design utilizing identical samples was used to classify mixed methods studies via a two-dimensional model, wherein sampling designs were grouped according to the time orientation of each study's components and the relationship of the qualitative and quantitative samples. A quantitative analysis of 121 studies representing nine fields…
Descriptors: Sampling, Sample Size, Generalization, Qualitative Research
Leite, Walter L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Univariate latent growth modeling (LGM) of composites of multiple items (e.g., item means or sums) has been frequently used to analyze the growth of latent constructs. This study evaluated whether LGM of composites yields unbiased parameter estimates, standard errors, chi-square statistics, and adequate fit indexes. Furthermore, LGM was compared…
Descriptors: Comparative Analysis, Computation, Structural Equation Models, Goodness of Fit
Cotton, D. R. E.; Gresty, K. A. – Assessment & Evaluation in Higher Education, 2007
This paper reports the findings of a small-scale study that investigated student nurses' use of an online resource in Biology. The think-aloud method was used to explore in detail the ways in which students engaged with this resource and to evaluate the ways and extent to which it might enhance their learning. The students generally expressed…
Descriptors: Rhetoric, Nursing Students, Nurses, Constructivism (Learning)
Shieh, Gwowen – Psychometrika, 2007
The underlying statistical models for multiple regression analysis are typically attributed to two types of modeling: fixed and random. The procedures for calculating power and sample size under the fixed regression models are well known. However, the literature on random regression models is limited and has been confined to the case of all…
Descriptors: Sample Size, Monte Carlo Methods, Multiple Regression Analysis, Statistical Analysis
Liu, Jinghua; Zhu, Xiaowen – ETS Research Report Series, 2008
The purpose of this paper is to explore methods to approximate population invariance without conducting multiple linkings for subpopulations. Under the single group or equivalent groups design, no linking needs to be performed for the parallel-linear system linking functions. The unequated raw score information can be used as an approximation. For…
Descriptors: Raw Scores, Test Format, Comparative Analysis, Test Construction
DeVoe, Jill Fleury; Darling-Churchill, Kristen E. – National Center for Education Statistics, 2008
This document examines the educational progress of American Indian/Alaska Native children and adults and challenges in their education. This report shows that over time more American Indian/Alaska Native students have gone on to college and that their attainment expectations have increased. Despite these gains, progress has been uneven and…
Descriptors: American Indians, Alaska Natives, American Indian Education, Outcomes of Education
Donnon, Tyrone; Hecker, Kent – Canadian Journal of Higher Education, 2008
The Biggs' Study Process Questionnaire (SPQ) was used to test competing models of students' approaches to learning in a sample of undergraduate students (n = 125) from an inquiry based Bachelor of Health Sciences program. In addition to an internal consistency and test-retest reliability analysis of the SPQ, confirmatory factor analysis was used…
Descriptors: Undergraduate Students, Grade Point Average, Factor Structure, Factor Analysis

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