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Showing 1 to 15 of 23 results Save | Export
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Laird, Robert D. – Developmental Psychology, 2020
Researchers are often inclined to test agreement or discrepancy hypotheses using difference scores. This commentary explains 2 mathematical-statistical principles underlying associations with difference scores and 2 conceptual-interpretation problems that make difference scores inappropriate for testing such hypotheses. The commentary provides…
Descriptors: Educational Research, Hypothesis Testing, Differences, Scores
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Campione-Barr, Nicole; Lindell, Anna K.; Giron, Sonia E. – Developmental Psychology, 2020
The use of differences scores to assess agreement/disagreement has a long and contentious history. Laird (2020) notes, however, that developmentalists have been particularly resistant to discontinue the use of difference scores. One area of developmental science where difference scores are still in regular use is that of parental differential…
Descriptors: Educational Research, Hypothesis Testing, Differences, Scores
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Miller, Jeff – Educational and Psychological Measurement, 2017
Critics of null hypothesis significance testing suggest that (a) its basic logic is invalid and (b) it addresses a question that is of no interest. In contrast to (a), I argue that the underlying logic of hypothesis testing is actually extremely straightforward and compelling. To substantiate that, I present examples showing that hypothesis…
Descriptors: Hypothesis Testing, Testing Problems, Test Validity, Relevance (Education)
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Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
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An, Chen; Braun, Henry; Walsh, Mary E. – Educational Measurement: Issues and Practice, 2018
Making causal inferences from a quasi-experiment is difficult. Sensitivity analysis approaches to address hidden selection bias thus have gained popularity. This study serves as an introduction to a simple but practical form of sensitivity analysis using Monte Carlo simulation procedures. We examine estimated treatment effects for a school-based…
Descriptors: Statistical Inference, Intervention, Program Effectiveness, Quasiexperimental Design
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Autman, Hamlet; Kelly, Stephanie – Business and Professional Communication Quarterly, 2017
This article contains two measurement development studies on writing apprehension. Study 1 reexamines the validity of the writing apprehension measure based on the finding from prior research that a second false factor was embedded. The findings from Study 1 support the validity of a reduced measure with 6 items versus the original 20-item…
Descriptors: Writing Apprehension, Writing Tests, Test Validity, Test Reliability
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Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2014
A method for medical screening is adapted to differential item functioning (DIF). Its essential elements are explicit declarations of the level of DIF that is acceptable and of the loss function that quantifies the consequences of the two kinds of inappropriate classification of an item. Instead of a single level and a single function, sets of…
Descriptors: Test Items, Test Bias, Simulation, Hypothesis Testing
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Cornelius-Ukpepi, Bernedette Umali; Enukoha, Obinna I. – Journal of Education and Learning, 2012
The focus of this study was to determine perception of examination malpractice and academic performance in Primary Science among sixth grade in Cross River State, Nigeria. In order to achieve the set objectives of this study, three hypotheses were formulated and tested. Two instruments were used for data collection. They were perception of…
Descriptors: Foreign Countries, Academic Achievement, Elementary School Science, Educational Malpractice
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Schochet, Peter Z. – Evaluation Review, 2009
In social policy evaluations, the multiple testing problem occurs due to the many hypothesis tests that are typically conducted across multiple outcomes and subgroups, which can lead to spurious impact findings. This article discusses a framework for addressing this problem that balances Types I and II errors. The framework involves specifying…
Descriptors: Policy, Evaluation, Testing Problems, Hypothesis Testing
Darlington, Richard B.; Cieslak, Paul J. – 1971
A new variant of the standard method for estimating the accuracy of educational tests is examined. It is found that the estimates produced by the new method are essentially unbiased and that the typical sizes of the errors of the estimates approach their theoretical lower limit as size increases, though they are still noticably above it for small…
Descriptors: Criterion Referenced Tests, Educational Testing, Evaluation Methods, Hypothesis Testing
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Bird, Kevin D. – Educational and Psychological Measurement, 1991
A method is outlined for analysis of the shape of an individual profile of scores on a standardized test battery. The method uses a simultaneous test procedure allowing for an overall test of profile flatness, with follow-up tests on all contrasts of interest. (SLD)
Descriptors: Equations (Mathematics), Hypothesis Testing, Mathematical Models, Profiles
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Abrahams, Norman M.; Alf, Edward F., Jr. – Psychometrika, 1978
The relationship between variables in applied and experimental research is often investigated by the use of extreme groups. Recent analytical work has provided an extreme group procedure that is more powerful than the standard correlational approach. The present article provides procedures to optimize power and thusly resources in such studies.…
Descriptors: Correlation, Groups, Hypothesis Testing, Power (Statistics)
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Keselman, H. J.; And Others – Educational and Psychological Measurement, 1981
This paper demonstrates that multiple comparison tests using a pooled error term are dependent on the circularity assumption and shows how to compute tests which are insensitive (robust) to this assumption. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Models, Research Design, Statistical Significance
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Williams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1980
It is suggested that error of measurement cannot be routinely incorporated into the "error term" in statistical tests, and that the reliability of test scores does not have the simple relationship to statistical inference that one might expect. (Author/GK)
Descriptors: Error of Measurement, Hypothesis Testing, Mathematical Formulas, Test Reliability
Wilcox, Rand R. – 1979
Three separate papers are included in this report. The first describes a two-stage procedure for choosing from among several instructional programs the one which maximizes the probability of passing the test. The second gives the exact sample sizes required to determine whether a squared multiple correlation coefficient is above or below a known…
Descriptors: Bayesian Statistics, Correlation, Hypothesis Testing, Mathematical Models
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