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Changiz Mohiyeddini – Anatomical Sciences Education, 2025
This article presents a step-by-step guide to using R and SPSS to bootstrap exam questions. Bootstrapping, a versatile nonparametric analytical technique, can help to improve the psychometric qualities of exam questions in the process of quality assurance. Bootstrapping is particularly useful in disciplines such as medical education, where student…
Descriptors: Test Items, Sampling, Statistical Inference, Nonparametric Statistics
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
Bloom, Howard; Zhu, Pei; Jacob, Robin; Raudenbush, Stephen; Martinez, Andres; Lin, Fen – MDRC, 2008
This paper provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of interventions on children. To do so, the paper: (1) provides new empirical information about the values of parameters that influence the precision of impact estimates (intra-class correlations and R-squares); (2)…
Descriptors: Pilot Projects, Research Methodology, Intervention, Sampling
Wofford, J. C.; Willoughby, T. L. – Calif J Educ Res, 1969
Descriptors: Correlation, Item Analysis, Sampling, Test Construction
OECD Publishing (NJ1), 2009
The Organisation for Economic Cooperation and Development's (OECD's) Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries. PISA examines how well students are prepared to meet the challenges of the future,…
Descriptors: Policy Formation, Scaling, Academic Achievement, Interrater Reliability
Sullins, Walter L. – 1971
Five-hundred dichotomously scored response patterns were generated with sequentially independent (SI) items and 500 with dependent (SD) items for each of thirty-six combinations of sampling parameters (i.e., three test lengths, three sample sizes, and four item difficulty distributions). KR-20, KR-21, and Split-Half (S-H) reliabilities were…
Descriptors: Comparative Analysis, Correlation, Error of Measurement, Item Analysis
Dick, Walter; Hagerty, Nancy – 1971
This text was developed on an autoinstructional basis to familiarize the reader with the various interpretations of reliability and validity, their measurement and evaluation, and factors influencing their measurement. The text enables those with prior knowledge of statistics to increase their understanding of variance and correlation. Review…
Descriptors: Analysis of Variance, Autoinstructional Aids, Correlation, Data Collection
Boyd, Thomas A.; Tramontana, Michael G. – 1984
To examine the validity of short forms of the Wechsler Intelligence Scale for Children-Revised (WISC-R), the WISC-R was first administered to 106 hospitalized psychiatric patients, aged 8-16. No subjects had a primary diagnosis of mental retardation or learning disability, and one-third were receiving psychotropic medication. WISC-R IQ scores…
Descriptors: Adolescents, Children, Correlation, Elementary Secondary Education

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