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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
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
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
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
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
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)
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
Goldman, Gregory A.; Anderson, Timothy – Journal of Counseling Psychology, 2007
Security of attachment and quality of object relations were measured as predictors of initial impressions of the therapeutic alliance as well as dropout. Fifty-five individual psychotherapy clients were administered the Revised Adult Attachment Scale and the Bell Object Relations and Reality Testing Inventory prior to their initial therapy…
Descriptors: Psychotherapy, Dropouts, Attachment Behavior, Measures (Individuals)
Krull, Jennifer L. – Developmental Psychology, 2007
This study investigates the extent to which analytic power can be increased through the inclusion of siblings in a data set and the concomitant use of random coefficient multilevel models. Analyses of real-world data regarding the predictors of young adult alcohol use illustrate how parallel single-level analyses of a 1-child-per-family data set…
Descriptors: Young Adults, Siblings, Simulation, Drinking
Lee, Sik-Yum; Song, Xin-Yuan; Tang, Nian-Sheng – Structural Equation Modeling: A Multidisciplinary Journal, 2007
The analysis of interaction among latent variables has received much attention. This article introduces a Bayesian approach to analyze a general structural equation model that accommodates the general nonlinear terms of latent variables and covariates. This approach produces a Bayesian estimate that has the same statistical optimal properties as a…
Descriptors: Interaction, Structural Equation Models, Bayesian Statistics, Computation
Mackintosh, N. J. – Intelligence, 2007
Mackintosh and Bennett [Mackintosh, N. J., Bennett, E. S. (2005). What do Raven's Matrices measure? An analysis in terms of sex differences. "Intelligence, 33," 663-674] reported that male students obtained higher scores than females on Raven's items that required for their solution addition/subtraction or distribution of two rules, but…
Descriptors: Gender Differences, Sample Size, Scores, Test Reliability
Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Some authors have suggested that sample size in covariance structure modeling should be considered in the context of how many parameters are to be estimated (e.g., Kline, 2005). Previous research has examined the effect of varying sample size relative to the number of parameters being estimated (N:q). Although some support has been found for this…
Descriptors: Sample Size, Factor Analysis, Structural Equation Models, Goodness of Fit
Peer reviewedKeselman, 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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