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Zhang, Jinming – Journal of Educational and Behavioral Statistics, 2012
The impact of uncertainty about item parameters on test information functions is investigated. The information function of a test is one of the most important tools in item response theory (IRT). Inaccuracy in the estimation of test information can have substantial consequences on data analyses based on IRT. In this article, the major part (called…
Descriptors: Item Response Theory, Tests, Accuracy, Data Analysis
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Walker, Terrance L.; Tracey, Terence J. G. – Journal of Vocational Behavior, 2012
The present study examined perceptions of occupational prestige among university students. One hundred and twenty-four African American and 174 White students rated the prestige levels of 36 occupations evenly sampled from the six RIASEC types and three levels of prestige. Results indicated that there was a significant difference in perception of…
Descriptors: African American Students, Reputation, White Students, College Students
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Jung, Myoungwhon; Hartman, Paula; Smith, Thomas; Wallace, Stephen – International Journal of Instruction, 2013
Number relationships, which go far beyond counting skills, refer to the ability to represent a quantity in multiple, flexible ways. It is arguably among the most important mathematics concepts in number and quantity. The current study examined the effectiveness of number relationships instruction in preschool classrooms. Participants included 73…
Descriptors: Preschool Education, Preschool Children, Mathematics Instruction, Number Concepts
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Spybrook, Jessaca; Puente, Anne Cullen; Lininger, Monica – Journal of Research on Educational Effectiveness, 2013
This article examines changes in the research design, sample size, and precision between the planning phase and implementation phase of group randomized trials (GRTs) funded by the Institute of Education Sciences. Thirty-eight GRTs funded between 2002 and 2006 were examined. Three studies revealed changes in the experimental design. Ten studies…
Descriptors: Educational Research, Research Design, Sample Size, Accuracy
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Cheung, Alan; Slavin, Robert – Society for Research on Educational Effectiveness, 2016
As evidence-based reform becomes increasingly important in educational policy, it is becoming essential to understand how research design might contribute to reported effect sizes in experiments evaluating educational programs. The purpose of this study was to examine how methodological features such as types of publication, sample sizes, and…
Descriptors: Effect Size, Evidence Based Practice, Educational Change, Educational Policy
Jia, Yue; Stokes, Lynne; Harris, Ian; Wang, Yan – Educational Testing Service, 2011
Estimation of parameters of random effects models from samples collected via complex multistage designs is considered. One way to reduce estimation bias due to unequal probabilities of selection is to incorporate sampling weights. Many researchers have been proposed various weighting methods (Korn, & Graubard, 2003; Pfeffermann, Skinner,…
Descriptors: Computation, Statistical Bias, Sampling, Statistical Analysis
Svetina, Dubravka – ProQuest LLC, 2011
The purpose of this study was to investigate the effect of complex structure on dimensionality assessment in compensatory and noncompensatory multidimensional item response models (MIRT) of assessment data using dimensionality assessment procedures based on conditional covariances (i.e., DETECT) and a factor analytical approach (i.e., NOHARM). …
Descriptors: Item Response Theory, Factor Analysis, Correlation, Sample Size
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Osborne, Jason W. – Practical Assessment, Research & Evaluation, 2011
Large surveys often use probability sampling in order to obtain representative samples, and these data sets are valuable tools for researchers in all areas of science. Yet many researchers are not formally prepared to appropriately utilize these resources. Indeed, users of one popular dataset were generally found "not" to have modeled…
Descriptors: Best Practices, Sampling, Sample Size, Data Analysis
Brino, Ana Leda F., Barros, Romariz S., Galvao, Ol; Garotti, M.; Da Cruz, Ilara R. N.; Santos, Jose R.; Dube, William V.; McIlvane, William J. – Journal of the Experimental Analysis of Behavior, 2011
This paper reports use of sample stimulus control shaping procedures to teach arbitrary matching-to-sample to 2 capuchin monkeys ("Cebus apella"). The procedures started with identity matching-to-sample. During shaping, stimulus features of the sample were altered gradually, rendering samples and comparisons increasingly physically dissimilar. The…
Descriptors: Followup Studies, Computation, Teaching Methods, Sample Size
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Alexandrowicz, Rainer W. – Educational Research and Evaluation, 2011
The linear logistic test model (LLTM) is a valuable and approved tool in educational research, as it allows for modelling cognitive components involved in a cognitive task. It allows for a rigorous assessment of fit by means of a Likelihood Ratio Test (LRT). This approach is genuine to the Rasch family of models, yet it suffers from the unsolved…
Descriptors: Statistical Analysis, Item Response Theory, Models, Sample Size
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Acar, Tulin – Educational Sciences: Theory and Practice, 2011
The purpose of this study is to examine the number of DIF items detected by HGLM at different sample sizes. Eight different sized data files have been composed. The population of the study is 798307 students who had taken the 2006 OKS Examination. 10727 students of 798307 are chosen by random sampling method as the sample of the study. Turkish,…
Descriptors: Test Bias, Sample Size, Regression (Statistics), Models
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Livingston, Samuel A.; Kim, Sooyeon – ETS Research Report Series, 2010
A series of resampling studies investigated the accuracy of equating by four different methods in a random groups equating design with samples of 400, 200, 100, and 50 test takers taking each form. Six pairs of forms were constructed. Each pair was constructed by assigning items from an existing test taken by 9,000 or more test takers. The…
Descriptors: Equated Scores, Accuracy, Sample Size, Sampling
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Wright, Tessa – Journal of Visual Impairment & Blindness, 2010
Power analysis, in its most basic form, is a calculation of the different design characteristics of a study to determine if certain aspects of the study are robust enough to detect a significant difference between groups if a significant difference exists. These characteristics include effect size, the difference between the means of the groups…
Descriptors: Braille, Visual Impairments, Research Design, Statistical Analysis
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Draxler, Clemens – Psychometrika, 2010
This paper is concerned with supplementing statistical tests for the Rasch model so that additionally to the probability of the error of the first kind (Type I probability) the probability of the error of the second kind (Type II probability) can be controlled at a predetermined level by basing the test on the appropriate number of observations.…
Descriptors: Statistical Analysis, Probability, Sample Size, Error of Measurement
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Eriksson, Marten; Westerlund, Monica; Miniscalco, Carmela – Research in Developmental Disabilities: A Multidisciplinary Journal, 2010
This study discusses six common methodological limitations in screening for language delay (LD) as illustrated in 11 recent studies. The limitations are (1) whether the studies define a target population, (2) whether the recruitment procedure is unbiased, (3) attrition, (4) verification bias, (5) small sample size and (6) inconsistencies in choice…
Descriptors: Sample Size, Recruitment, Evaluation, Attrition (Research Studies)
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