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Chan, Wendy – American Journal of Evaluation, 2022
Over the past ten years, propensity score methods have made an important contribution to improving generalizations from studies that do not select samples randomly from a population of inference. However, these methods require assumptions and recent work has considered the role of bounding approaches that provide a range of treatment impact…
Descriptors: Probability, Scores, Scoring, Generalization
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Donoghue, John R.; McClellan, Catherine A.; Hess, Melinda R. – ETS Research Report Series, 2022
When constructed-response items are administered for a second time, it is necessary to evaluate whether the current Time B administration's raters have drifted from the scoring of the original administration at Time A. To study this, Time A papers are sampled and rescored by Time B scorers. Commonly the scores are compared using the proportion of…
Descriptors: Item Response Theory, Test Construction, Scoring, Testing
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Özmen, Zeynep Medine; Güven, Bülent – Journal of Pedagogical Research, 2022
The present study aimed to remediate pre-service teachers' misconceptions about sampling distributions and to develop their conceptual understanding through the use of conceptual change texts (CCTs). The participants consisted of 84 pre-service teachers. To determine the pre-service teachers' conceptual understanding of sampling distributions, an…
Descriptors: Preservice Teachers, Mathematics Teachers, Sampling, Statistical Distributions
Imbens, Guido W.; Rubin, Donald B. – Cambridge University Press, 2015
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…
Descriptors: Causal Models, Statistical Inference, Statistics, Social Sciences
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DerSimonian, Rebecca; Laird, Nan M. – Harvard Educational Review, 1983
This quantitative analysis of published results on the effect of coaching on Scholastic Aptitude Test scores differs from previous studies by separating out the within-study sampling error from the variation in coaching effectiveness. The authors conclude that the size of the positive effect seems too small to be practically important. (Author/SK)
Descriptors: Aptitude Tests, Research Methodology, Sampling, Scores
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You, Soon-Hyung; Stone-Romero, Eugene F. – Educational and Psychological Measurement, 1996
To clarify the findings of R. Gillett (1991) about the inequality of the means of test scores of minority and majority examinees, the standard errors of the quota-selected sample means and the sampling distribution of these means were studied through Monte Carlo simulation. Results explain that the quota selection inequality results from…
Descriptors: Error of Measurement, Minority Groups, Monte Carlo Methods, Sampling
Lockwood, Robert E.; And Others – 1986
Standards, passing scores, or cut scores have been seen as an element of criterion-referenced tests since their introduction. This paper discusses at least two issues surrounding the establishment of cut scores which appear to need clarification: (1) the theoretical definition of a cut score; and (2) decisions which must be made in selecting a…
Descriptors: Criterion Referenced Tests, Cutting Scores, Error of Measurement, High Schools