caa a22 4500 606242031 CHVBK 20210128101316.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s11336-014-9409-x doi (NATIONALLICENCE)springer-10.1007/s11336-014-9409-x Bayesian Checks on Cheating on Tests [Elektronische Daten] [Wim van der Linden, Charles Lewis] Posterior odds of cheating on achievement tests are presented as an alternative to $$p$$ p values reported for statistical hypothesis testing for several of the probabilistic models in the literature on the detection of cheating. It is shown how to calculate their combinatorial expressions with the help of a reformulation of the simple recursive algorithm for the calculation of number-correct score distributions used throughout the testing industry. Using the odds avoids the arbitrary choice between statistical tests of answer copying that do and do not condition on the responses the test taker is suspected to have copied and allows the testing agency to account for existing circumstantial evidence of cheating through the specification of prior odds. The Psychometric Society, 2014 answer copying nationallicence Bayesian checks nationallicence cheating on tests nationallicence erasure analysis nationallicence generalized binomial distribution nationallicence statistical hypothesis testing nationallicence van der Linden Wim CTB/McGraw-Hill, 20 Ryan Ranch Road, 93940, Monterey, CA, USA aut Lewis Charles Fordham University, Bronx, NY, USA aut Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 689-706 0033-3123 80:3<689 2015 80 11336 https://doi.org/10.1007/s11336-014-9409-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-014-9409-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- van der Linden Wim CTB/McGraw-Hill, 20 Ryan Ranch Road, 93940, Monterey, CA, USA aut NATIONALLICENCE 700 1- Lewis Charles Fordham University, Bronx, NY, USA aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 689-706 0033-3123 80:3<689 2015 80 11336