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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
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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
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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
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Banas, Jennifer Rebecca – Mid-Western Educational Researcher, 2009
Educators are regularly challenged to design instruction that motivates learners. If interest is lacking, the challenge can be even greater. Tailoring is a message design technique that could help to stimulate interest and consequently, motivation to learn. Effective tailoring requires the formal assessment of learner characteristics and the…
Descriptors: Learning Motivation, Instructional Design, Interests, Perception
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Grenwelge, Cheryl H. – Journal of Psychoeducational Assessment, 2009
The Woodcock Johnson III Brief Assessment is a "maximum performance test" (Reynolds, Livingston, Willson, 2006) that is designed to assess the upper levels of knowledge and skills of the test taker using both power and speed to obtain a large amount of information in a short period of time. The Brief Assessment also provides an adequate…
Descriptors: Test Results, Knowledge Level, Testing, Performance Tests
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Podhajski, Blanche; Mather, Nancy; Nathan, Jane; Sammons, Janice – Journal of Learning Disabilities, 2009
This article reviews the literature and presents data from a study that examined the effects of professional development in scientifically based reading instruction on teacher knowledge and student reading outcomes. The experimental group consisted of four first- and second-grade teachers and their students (n = 33). Three control teachers and…
Descriptors: Experimental Groups, Teacher Characteristics, Oral Reading, Phonemics
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
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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
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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
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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
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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
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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)
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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
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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
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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
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