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The Influence of Measurement Error Associated with Oral Reading Progress Monitoring Measures on the Consistency and Accuracy of Nonparametric Single-Case Design Effect Size Outcomes
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Van Norman, Ethan R.; Klingbeil, David A.; McLendon, Katherine E. – Remedial and Special Education, 2019
Researchers and practitioners frequently use curriculum-based measures of reading (CBM-R) within single-case design (SCD) frameworks to evaluate the effects of reading interventions with individual students. Effect sizes (ESs) developed specifically for SCDs are often used as a supplement to visual analysis to gauge treatment effects. The degree…
Descriptors: Oral Reading, Error of Measurement, Progress Monitoring, Effect Size
Different Approaches to Covariate Inclusion in the Mixture Rasch Model
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Li, Tongyun; Jiao, Hong; Macready, George B. – Educational and Psychological Measurement, 2016
The present study investigates different approaches to adding covariates and the impact in fitting mixture item response theory models. Mixture item response theory models serve as an important methodology for tackling several psychometric issues in test development, including the detection of latent differential item functioning. A Monte Carlo…
Descriptors: Item Response Theory, Psychometrics, Test Construction, Monte Carlo Methods
Optimization of Answer Keys for Script Concordance Testing: Should We Exclude Deviant Panelists, Deviant Responses, or Neither?
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Gagnon, Robert; Lubarsky, Stuart; Lambert, Carole; Charlin, Bernard – Advances in Health Sciences Education, 2011
The Script Concordance Test (SCT) uses a panel-based, aggregate scoring method that aims to capture the variability of responses of experienced practitioners to particular clinical situations. The use of this type of scoring method is a key determinant of the tool's discriminatory power, but deviant answers could potentially diminish the…
Descriptors: Expertise, Oncology, Scoring, Error of Measurement
Impact of Missing Data on the Detection of Differential Item Functioning: The Case of Mantel-Haenszel and Logistic Regression Analysis
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Robitzsch, Alexander; Rupp, Andre A. – Educational and Psychological Measurement, 2009
This article describes the results of a simulation study to investigate the impact of missing data on the detection of differential item functioning (DIF). Specifically, it investigates how four methods for dealing with missing data (listwise deletion, zero imputation, two-way imputation, response function imputation) interact with two methods of…
Descriptors: Test Bias, Simulation, Interaction, Effect Size