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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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Bodkin-Andrews, Gawaian H.; Ha, My Trinh; Craven, Rhonda G.; Yeung, Alexander Seesing – International Journal of Testing, 2010
This investigation reports on the cross-cultural equivalence testing of the Self-Description Questionnaire II (short version; SDQII-S) for Indigenous and non-Indigenous Australian secondary student samples. A variety of statistical analysis techniques were employed to assess the psychometric properties of the SDQII-S for both the Indigenous and…
Descriptors: Indigenous Populations, Disadvantaged, Testing, Measures (Individuals)
Over, Lucinda L. – ProQuest LLC, 2009
Purpose: The study identified effective validating practices used in transfer centers with EOP&S students at three Southern California community colleges. Methodology: The study used a self-report survey design. The researcher adapted an existing instrument with a panel of experts from EOP&S and transfer center staff at each college.…
Descriptors: Field Trips, Mentors, Sample Size, Community Colleges
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Shieh, Gwowen – Multivariate Behavioral Research, 2009
In regression analysis, the notion of population validity is of theoretical interest for describing the usefulness of the underlying regression model, whereas the presumably more important concept of population cross-validity represents the predictive effectiveness for the regression equation in future research. It appears that the inference…
Descriptors: Social Science Research, Sample Size, Monte Carlo Methods, Validity
Wei, Youhua – ProQuest LLC, 2008
Scale linking is the process of developing the connection between scales of two or more sets of parameter estimates obtained from separate test calibrations. It is the prerequisite for many applications of IRT, such as test equating and differential item functioning analysis. Unidimensional scale linking methods have been studied and applied…
Descriptors: Test Length, Test Items, Sample Size, Simulation
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Bartlett, James E., II; Bartlett, Michelle E.; Reio, Thomas G., Jr. – Delta Pi Epsilon Journal, 2008
This research examined the issue of nonresponse bias and how it was reported in nonexperimental quantitative research published in the "Delta Pi Epsilon Journal" between 1995 and 2004. Through content analysis, 85 articles consisting of 91 separate samples were examined. In 72.5% of the cases, possible nonresponse bias was not examined in the…
Descriptors: Content Analysis, Probability, Response Rates (Questionnaires), Business Education
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Dorman, Jeffrey P. – Educational Research and Evaluation, 2008
This paper reports the reanalysis of data collected in a study of 3 determinants of classroom environment (viz. year level, subject, and school type) using multivariate analysis of variance and multilevel analysis. Data were collected from 2,211 students in Queensland Catholic and government schools. The Catholic School Classroom Environment…
Descriptors: Catholic Schools, Catholics, Academic Achievement, Statistical Significance
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Woods, Carol M. – Applied Psychological Measurement, 2008
In Ramsay-curve item response theory (RC-IRT), the latent variable distribution is estimated simultaneously with the item parameters of a unidimensional item response model using marginal maximum likelihood estimation. This study evaluates RC-IRT for the three-parameter logistic (3PL) model with comparisons to the normal model and to the empirical…
Descriptors: Test Length, Computation, Item Response Theory, Maximum Likelihood Statistics
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Glas, Cees A. W.; Pimentel, Jonald L. – Educational and Psychological Measurement, 2008
In tests with time limits, items at the end are often not reached. Usually, the pattern of missing responses depends on the ability level of the respondents; therefore, missing data are not ignorable in statistical inference. This study models data using a combination of two item response theory (IRT) models: one for the observed response data and…
Descriptors: Intelligence Tests, Statistical Inference, Item Response Theory, Modeling (Psychology)
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What Works Clearinghouse, 2010
This study examined the effects of offering Head Start to preschoolers. Head Start is a federal program aimed at boosting the school readiness of low-income children by providing preschool education and health and nutrition services. The study analyzed data on about 4,700 preschool-aged children who applied for enrollment for the 2002-03 program…
Descriptors: School Readiness, Preschool Education, Nutrition, Disadvantaged Youth
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Keselman, Joanne C.; Keselman, H. J. – Educational and Psychological Measurement, 1987
The power to detect main and interaction effects in a factorial design was determined when the Bonferroni method was used to control the overall rate of Type I error. For sample sizes typical of educational research, the power of this procedure was considerably less than that of recommended standards. (TJH)
Descriptors: Educational Research, Sample Size, Statistical Analysis
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Dunlap, William P.; And Others – Educational and Psychological Measurement, 1987
A procedure proposed by H. F. Kaiser (1968) for averaging coefficients using the first eigenvalue of an intercorrelation matrix was studied via Monte Carlo methods. The study also assessed a modification of the Kaiser procedure and the use of Fisher's "z." Applications to sample size effects are discussed. (TJH)
Descriptors: Correlation, Monte Carlo Methods, Sample Size
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Fligner, Michael A. – Journal of Educational Statistics, 1988
An approach for modifying the results of asymptotic theory to improve the performance of statistical procedures in small to moderate sample sizes is described in the context of hypothesis testing. The method is illustrated by a series of examples. (Author)
Descriptors: Hypothesis Testing, Sample Size, Statistical Analysis
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Green, Kathy W.; Smith, Richard M. – Journal of Educational Statistics, 1987
This paper compares two methods of estimating component difficulties for dichotomous test data. Simulated data are used to study the effects of sample size, collinearity, a measurement disturbance, and multidimensionality on the estimation of component difficulties. (RB)
Descriptors: Difficulty Level, Sample Size, Test Items
Sotaridona, Leonardo S.; Meijer, Rob R. – 2001
This study investigated statistical properties of the K-index (Holland, 1996) that can be used to detect copying behavior on tests. A simulation study was conducted to investigate the applicability of the K-index for small, medium, and large datasets. In addition, the Type I error rate and the detection rate of this index were compared with the…
Descriptors: Cheating, Sample Size, Simulation, Statistical Analysis
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