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Yang, Shitao; Black, Ken – Teaching Statistics: An International Journal for Teachers, 2019
Summary Employing a Wald confidence interval to test hypotheses about population proportions could lead to an increase in Type I or Type II errors unless the hypothesized value, p0, is used in computing its standard error rather than the sample proportion. Whereas the Wald confidence interval to estimate a population proportion uses the sample…
Descriptors: Error Patterns, Evaluation Methods, Error of Measurement, Measurement Techniques
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Brown, Ted; Peres, Lisa – Journal of Occupational Therapy, Schools & Early Intervention, 2018
The "Motor-Free Visual Perception Test-fourth edition" (MVPT-4) is a revised version of the "Motor-Free Visual Perception Test-third edition." The MVPT-4 is used to assess the visual-perceptual ability of individuals aged 4.0 through 80+ years via a series of visual-perceptual tasks that do not require a motor response. Test…
Descriptors: Visual Perception, Vision Tests, Test Validity, Culture Fair Tests
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Lang, Kyle M.; Little, Todd D. – International Journal of Behavioral Development, 2014
We present a new paradigm that allows simplified testing of multiparameter hypotheses in the presence of incomplete data. The proposed technique is a straight-forward procedure that combines the benefits of two powerful data analytic tools: multiple imputation and nested-model ?2 difference testing. A Monte Carlo simulation study was conducted to…
Descriptors: Hypothesis Testing, Data Analysis, Error of Measurement, Computation
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Casleton, Emily; Beyler, Amy; Genschel, Ulrike; Wilson, Alyson – Journal of Statistics Education, 2014
Undergraduate students who have just completed an introductory statistics course often lack deep understanding of variability and enthusiasm for the field of statistics. This paper argues that by introducing the commonly underemphasized concept of measurement error, students will have a better chance of attaining both. We further present lecture…
Descriptors: Undergraduate Students, Statistics, Measurement Techniques, Error of Measurement
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Lam, Tony C. M.; Kolic, Mary – Applied Psychological Measurement, 2008
Semantic incompatibility, an error in constructing measuring instruments for rating oneself, others, or objects, refers to the extent to which item wordings are incongruent with, and hence inappropriate for, scale labels and vice versa. This study examines the effects of semantic incompatibility on rating responses. Using a 2 x 2 factorial design…
Descriptors: Semantics, Rating Scales, Statistical Analysis, Academic Ability
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Sotaridona, Leonardo S.; van der Linden, Wim J.; Meijer, Rob R. – Applied Psychological Measurement, 2006
A statistical test for detecting answer copying on multiple-choice tests based on Cohen's kappa is proposed. The test is free of any assumptions on the response processes of the examinees suspected of copying and having served as the source, except for the usual assumption that these processes are probabilistic. Because the asymptotic null and…
Descriptors: Cheating, Test Items, Simulation, Statistical Analysis
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Westermann, Rainer; Hager, Willi – Journal of Educational Statistics, 1986
The well-known problem of cumulating error probabilities is reconsidered from a general epistemological perspective, namely, the concepts of severity and of fairness of tests. It is shown that not only Type 1 but also Type 2 errors can cumulate. A new adjustment strategy is proposed and applied. (Author/JAZ)
Descriptors: Educational Research, Error of Measurement, Hypothesis Testing, Measurement Techniques
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Horn, John L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Mathematical Models
Porter, Andrew C. – 1978
A teaching aid appropriate for a beginning course on experimental design is presented. The aid is a numerical example which illustrates some of the theoretical interrelations among three competing design analysis strategies for estimating treatment effects in random assignment designs. The analysis strategies considered are analysis of variance…
Descriptors: Analysis of Covariance, Analysis of Variance, Error Analysis (Language), Error of Measurement
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences