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Showing 901 to 915 of 3,295 results Save | Export
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Mazza, Angelo; Punzo, Antonio – Sociological Methods & Research, 2015
The dissimilarity index of Duncan and Duncan is widely used in a broad range of contexts to assess the overall extent of segregation in the allocation of two groups in two or more units. Its sensitivity to random allocation implies an upward bias with respect to the unknown amount of systematic segregation. In this article, following a multinomial…
Descriptors: Statistical Bias, Error of Measurement, Error Correction, Mathematical Logic
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Liang, Longjuan; Browne, Michael W. – Journal of Educational and Behavioral Statistics, 2015
If standard two-parameter item response functions are employed in the analysis of a test with some newly constructed items, it can be expected that, for some items, the item response function (IRF) will not fit the data well. This lack of fit can also occur when standard IRFs are fitted to personality or psychopathology items. When investigating…
Descriptors: Item Response Theory, Statistical Analysis, Goodness of Fit, Bayesian Statistics
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Seixas, T. M.; da Silva, M. A. Salgueiro – Physics Teacher, 2015
When conducting experiments involving the measurement of physically related quantities, choosing an appropriate spacing for the experimental independent variable is a crucial procedure whose consequences may go beyond data graphical visualization. This is particularly true if the measured quantities are nonlinearly related and experimental errors…
Descriptors: Measurement, Data, Error of Measurement, Intervals
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Nugent, William Robert; Moore, Matthew; Story, Erin – Educational and Psychological Measurement, 2015
The standardized mean difference (SMD) is perhaps the most important meta-analytic effect size. It is typically used to represent the difference between treatment and control population means in treatment efficacy research. It is also used to represent differences between populations with different characteristics, such as persons who are…
Descriptors: Error of Measurement, Error Correction, Predictor Variables, Monte Carlo Methods
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Ledford, Jennifer R.; Ayres, Kevin M.; Lane, Justin D.; Lam, Man Fung – Journal of Special Education, 2015
Momentary time sampling (MTS), whole interval recording (WIR), and partial interval recording (PIR) are commonly used in applied research. We discuss potential difficulties with analyzing data when these systems are used and present results from a pilot simulation study designed to determine the extent to which these issues are likely to be…
Descriptors: Intervals, Research Methodology, Sampling, Time
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Falk, Carl F.; Cai, Li – Grantee Submission, 2015
In this paper, we present a flexible full-information approach to modeling multiple userdefined response styles across multiple constructs of interest. The model is based on a novel parameterization of the multidimensional nominal response model that separates estimation of overall item slopes from the scoring functions (indicating the order of…
Descriptors: Response Style (Tests), Item Response Theory, Outcome Measures, Models
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Sengul Avsar, Asiye; Tavsancil, Ezel – Educational Sciences: Theory and Practice, 2017
This study analysed polytomous items' psychometric properties according to nonparametric item response theory (NIRT) models. Thus, simulated datasets--three different test lengths (10, 20 and 30 items), three sample distributions (normal, right and left skewed) and three samples sizes (100, 250 and 500)--were generated by conducting 20…
Descriptors: Test Items, Psychometrics, Nonparametric Statistics, Item Response Theory
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Cimpian, Joseph R. – Educational Researcher, 2017
Quantitative research on sexual minority youths (SMYs) has likely contributed to misperceptions about the risk and deviance of this population. In part because it often relies on self-reported data from population-based self-administered questionnaires, this research is susceptible to misclassification bias whereby youths who are not SMYs are…
Descriptors: Secondary School Students, Adolescents, Minority Group Students, Homosexuality
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Punter, R. Annemiek; Meelissen, Martina R. M.; Glas, Cees A. W. – European Educational Research Journal, 2017
IEA's International Computer and Information Literacy Study (ICILS) 2013 showed that in the majority of the participating countries, 14-year-old girls outperformed boys in computer and information literacy (CIL): results that seem to contrast with the common view of boys having better computer skills. This study used the ICILS data to explore…
Descriptors: Gender Differences, Factor Analysis, Information Literacy, Computer Literacy
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Peng, Chao-Ying Joanne; Chen, Li-Ting – Journal of Experimental Education, 2014
Given the long history of discussion of issues surrounding statistical testing and effect size indices and various attempts by the American Psychological Association and by the American Educational Research Association to encourage the reporting of effect size, most journals in education and psychology have witnessed an increase in effect size…
Descriptors: Effect Size, Statistical Analysis, Computation, Classification
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Harshman, Jordan; Yezierski, Ellen – Journal of Chemical Education, 2016
Determining the error of measurement is a necessity for researchers engaged in bench chemistry, chemistry education research (CER), and a multitude of other fields. Discussions regarding what constructs measurement error entails and how to best measure them have occurred, but the critiques about traditional measures have yielded few alternatives.…
Descriptors: Science Instruction, Chemistry, Error of Measurement, Psychometrics
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Chalmers, R. Philip; Counsell, Alyssa; Flora, David B. – Educational and Psychological Measurement, 2016
Differential test functioning, or DTF, occurs when one or more items in a test demonstrate differential item functioning (DIF) and the aggregate of these effects are witnessed at the test level. In many applications, DTF can be more important than DIF when the overall effects of DIF at the test level can be quantified. However, optimal statistical…
Descriptors: Test Bias, Sampling, Test Items, Statistical Analysis
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Wood, Brenna K.; Hojnoski, Robin L.; Laracy, Seth D.; Olson, Christopher L. – Topics in Early Childhood Special Education, 2016
Although, collectively, results of earlier direct observation studies suggest momentary time sampling (MTS) may offer certain technical advantages over whole-interval (WIR) and partial-interval (PIR) recording, no study has compared these methods for measuring engagement in young children in naturalistic environments. This study compared direct…
Descriptors: Young Children, Research Methodology, Observation, Intervals
Amrein-Beardsley, Audrey; Pivovarova, Margarita; Geiger, Tray J. – Phi Delta Kappan, 2016
Being an expert involves explaining how things are supposed to work, and, perhaps more important, why things might not work as supposed. In this study, researchers surveyed scholars with expertise in value-added models (VAMs) to solicit their opinions about the uses and potential of VAMs for teacher-level accountability purposes (for example, in…
Descriptors: Value Added Models, Scholarship, Expertise, Surveys
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Pfaffel, Andreas; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
Approaches to correcting correlation coefficients for range restriction have been developed under the framework of large sample theory. The accuracy of missing data techniques for correcting correlation coefficients for range restriction has thus far only been investigated with relatively large samples. However, researchers and evaluators are…
Descriptors: Correlation, Sample Size, Error of Measurement, Accuracy
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