NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chalmers, R. Philip – Journal of Educational Measurement, 2023
Several marginal effect size (ES) statistics suitable for quantifying the magnitude of differential item functioning (DIF) have been proposed in the area of item response theory; for instance, the Differential Functioning of Items and Tests (DFIT) statistics, signed and unsigned item difference in the sample statistics (SIDS, UIDS, NSIDS, and…
Descriptors: Test Bias, Item Response Theory, Definitions, Monte Carlo Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Meiser, Thorsten; Rummel, Jan; Fleig, Hanna – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Pseudocontingencies are inferences about correlations in the environment that are formed on the basis of statistical regularities like skewed base rates or varying base rates across environmental contexts. Previous research has demonstrated that pseudocontingencies provide a pervasive mechanism of inductive inference in numerous social judgment…
Descriptors: Inferences, Correlation, Decision Making, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Carsey, Thomas M.; Harden, Jeffrey J. – Journal of Political Science Education, 2015
Graduate students in political science come to the discipline interested in exploring important political questions, such as "What causes war?" or "What policies promote economic growth?" However, they typically do not arrive prepared to address those questions using quantitative methods. Graduate methods instructors must…
Descriptors: Monte Carlo Methods, Graduate Study, Methods Courses, Political Science
Peer reviewed Peer reviewed
Direct linkDirect link
Murayama, Kou; Sakaki, Michiko; Yan, Veronica X.; Smith, Garry M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
In order to examine metacognitive accuracy (i.e., the relationship between metacognitive judgment and memory performance), researchers often rely on by-participant analysis, where metacognitive accuracy (e.g., resolution, as measured by the gamma coefficient or signal detection measures) is computed for each participant and the computed values are…
Descriptors: Metacognition, Memory, Accuracy, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2004
There is an increasing use of Markov chain Monte Carlo (MCMC) algorithms for fitting statistical models in psychometrics, especially in situations where the traditional estimation techniques are very difficult to apply. One of the disadvantages of using an MCMC algorithm is that it is not straightforward to determine the convergence of the…
Descriptors: Psychometrics, Mathematics, Inferences, Markov Processes