Articles with public access mandates - Sandip SINHARAYLearn more
Not available anywhere: 2
Generalized residuals for general models for contingency tables with application to item response theory
SJ Haberman, S Sinharay
Journal of the American Statistical Association 108 (504), 1435-1444, 2013
Mandates: US Institute of Education Sciences
A Note on the Type I Error Rate of the PARSCALE G2 Statistic for Long Tests
KH Chon, S Sinharay
Applied Psychological Measurement 38 (3), 245-252, 2014
Mandates: US Institute of Education Sciences
Available somewhere: 16
How often is the misfit of item response theory models practically significant?
S Sinharay, SJ Haberman
Educational Measurement: Issues and Practice 33 (1), 23-35, 2014
Mandates: US Institute of Education Sciences
Assessment of fit of item response theory models used in large-scale educational survey assessments
PW van Rijn, S Sinharay, SJ Haberman, MS Johnson
Large-scale Assessments in Education 4, 1-23, 2016
Mandates: US Institute of Education Sciences
The use of item scores and response times to detect examinees who may have benefited from item preknowledge
S Sinharay, MS Johnson
British Journal of Mathematical and Statistical Psychology 73 (3), 397-419, 2020
Mandates: US Institute of Education Sciences, US Department of Education
A new person‐fit statistic for the lognormal model for response times
S Sinharay
Journal of Educational Measurement 55 (4), 457-476, 2018
Mandates: US Institute of Education Sciences, US Department of Education
Detection of item preknowledge using response times
S Sinharay
Applied Psychological Measurement 44 (5), 376-392, 2020
Mandates: US Institute of Education Sciences
Assessing fit of the lognormal model for response times
S Sinharay, PW van Rijn
Journal of Educational and Behavioral Statistics 45 (5), 534-568, 2020
Mandates: US Institute of Education Sciences
Higher-order asymptotics and its application to testing the equality of the examinee ability over two sets of items
S Sinharay, JL Jensen
psychometrika 84, 484-510, 2019
Mandates: US Institute of Education Sciences, US Department of Education
Detecting fraudulent erasures at an aggregate level
S Sinharay
Journal of Educational and Behavioral Statistics 43 (3), 286-315, 2018
Mandates: US Institute of Education Sciences
Application of Bayesian methods for detecting fraudulent behavior on tests
S Sinharay
Measurement: Interdisciplinary Research and Perspectives 16 (2), 100-113, 2018
Mandates: US Institute of Education Sciences, US Department of Education
The use of the posterior probability in score differencing
S Sinharay, MS Johnson
Journal of Educational and Behavioral Statistics 46 (4), 403-429, 2021
Mandates: US Institute of Education Sciences
Detecting test fraud using Bayes factors
S Sinharay, MS Johnson
Behaviormetrika 47 (2), 339-354, 2020
Mandates: US Institute of Education Sciences
The lack of robustness of a statistic based on the Neyman–Pearson Lemma to violations of its underlying assumptions
S Sinharay
Applied Psychological Measurement 46 (1), 19-39, 2022
Mandates: US Institute of Education Sciences
Extension of caution indices to mixed‐format tests
S Sinharay
British Journal of Mathematical and Statistical Psychology 71 (2), 363-386, 2018
Mandates: US Institute of Education Sciences, US Department of Education
Book Review: Handbook of item response theory modeling: Applications to typical performance assessment
S Sinharay
Applied Psychological Measurement 39 (6), 499-502, 2015
Mandates: US National Institutes of Health
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
L Peng, S Sinharay
Educational and Psychological Measurement 82 (1), 177-200, 2022
Mandates: US Institute of Education Sciences
Documentation for the ScoreDiff R Function
S Sinharay
Mandates: US Institute of Education Sciences
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