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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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del Pino, Guido; San Martin, Ernesto; Gonzalez, Jorge; De Boeck, Paul – Psychometrika, 2008
This paper analyzes the sum score based (SSB) formulation of the Rasch model, where items and sum scores of persons are considered as factors in a logit model. After reviewing the evolution leading to the equality between their maximum likelihood estimates, the SSB model is then discussed from the point of view of pseudo-likelihood and of…
Descriptors: Computation, Models, Scores, Evaluation Methods
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Dekle, Dawn J.; Leung, Denis H. Y.; Zhu, Min – Psychological Methods, 2008
Across many areas of psychology, concordance is commonly used to measure the (intragroup) agreement in ranking a number of items by a group of judges. Sometimes, however, the judges come from multiple groups, and in those situations, the interest is to measure the concordance between groups, under the assumption that there is some within-group…
Descriptors: Item Response Theory, Statistical Analysis, Psychological Studies, Evaluators
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Finch, Holmes; Monahan, Patrick – Applied Measurement in Education, 2008
This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA…
Descriptors: Monte Carlo Methods, Factor Analysis, Generalization, Methods
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Briggs, Derek C. – Applied Measurement in Education, 2008
This article illustrates the use of an explanatory item response modeling (EIRM) approach in the context of measuring group differences in science achievement. The distinction between item response models and EIRMs, recently elaborated by De Boeck and Wilson (2004), is presented within the statistical framework of generalized linear mixed models.…
Descriptors: Science Achievement, Science Tests, Measurement, Error of Measurement
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Hartig, Johannes; Holzel, Britta; Moosbrugger, Helfried – Multivariate Behavioral Research, 2007
Numerous studies have shown increasing item reliabilities as an effect of the item position in personality scales. Traditionally, these context effects are analyzed based on item-total correlations. This approach neglects that trends in item reliabilities can be caused either by an increase in true score variance or by a decrease in error…
Descriptors: True Scores, Error of Measurement, Structural Equation Models, Simulation
Tsui, Anne S. – 1983
Quality of performance data yielded by subjective judgment is of major concern to researchers in performance appraisal. However, some confusion exists in the analysis of quality on ratings obtained from different rating scale formats and from different raters. To clarify this confusion, a study was conducted to assess the quality of judgmental…
Descriptors: Administrator Evaluation, Administrators, Error of Measurement, Evaluation Methods
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Sheard, Christine; And Others – Journal of Speech and Hearing Research, 1991
The study calculated indices of interjudge reliability and interjudge and intrajudge agreement on ratings made by 15 experienced speech clinicians on 5 deviant speech dimensions of 15 speakers with ataxic dysarthria and a wide range of speech intelligibility. Judges were reliable in tracking imprecise consonants, excess and equal stress, and harsh…
Descriptors: Adults, Error of Measurement, Evaluation Methods, Interrater Reliability
Olejnik, Stephen F.; Algina, James – 1986
Sampling distributions for ten tests for comparing population variances in a two group design were generated for several combinations of equal and unequal sample sizes, population means, and group variances when distributional forms differed. The ten procedures included: (1) O'Brien's (OB); (2) O'Brien's with adjusted degrees of freedom; (3)…
Descriptors: Error of Measurement, Evaluation Methods, Measurement Techniques, Nonparametric Statistics
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Maher, W. A.; And Others – Environmental Monitoring and Assessment, 1994
Presents a general framework for designing sampling programs that ensure cost effectiveness, and managed errors kept within known and acceptable limits. (LZ)
Descriptors: Cost Effectiveness, Environmental Education, Environmental Research, Error of Measurement
Ziomek, Robert L.; Szymczuk, Mike – 1983
In order to evaluate standard setting procedures, apart from the more commonly applied approach of simply comparing the derived standards or failure rates across various techniques, this study investigated the errors of classification associated with the contrasting groups procedures. Monte Carlo simulations were employed to produce…
Descriptors: Classification, Computer Simulation, Error of Measurement, Evaluation Methods
Cook, Linda L.; Petersen, Nancy S. – 1986
This paper examines how various equating methods are affected by: (1) sampling error; (2) sample characteristics; and (3) characteristics of anchor test items. It reviews empirical studies that investigated the invariance of equating transformations, and it discusses empirical and simulation studies that focus on how the properties of anchor tests…
Descriptors: Educational Research, Equated Scores, Error of Measurement, Evaluation Methods
Fink, Arlene – 1995
The nine-volume Survey Kit is designed to help readers prepare and conduct surveys and become better users of survey results. All the books in the series contain instructional objectives, exercises and answers, examples of surveys in use, illustrations of survey questions, guidelines for action, checklists of "dos and don'ts," and…
Descriptors: Costs, Data Collection, Educational Research, Error of Measurement
Jaeger, Richard M.; Busch, John Christian – 1986
This study explores the use of the modified caution index (MCI) for identifying judges whose patterns of recommendations suggest that their judgments might be based on incomplete information, flawed reasoning, or inattention to their standard-setting tasks. It also examines the effect on test standards and passing rates when the test standards of…
Descriptors: Criterion Referenced Tests, Error of Measurement, Evaluation Methods, High Schools