NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Huber, Chuck; Marcoulides, George A.; Pusic, Martin; Menold, Natalja – Measurement: Interdisciplinary Research and Perspectives, 2021
A readily and widely applicable procedure is discussed that can be used to point and interval estimate the probabilities of particular responses on polytomous items at pre-specified points along underlying latent continua. The items are assumed thereby to be part of unidimensional multi-component measuring instruments that may contain also binary…
Descriptors: Probability, Computation, Test Items, Responses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ferrando, Pere J. – Psicologica: International Journal of Methodology and Experimental Psychology, 2015
Test-retest studies for assessing stability and change are widely used in different domains and allow improved or additional individual estimates of interest to be obtained. However, if these estimates are to be validly interpreted the responses given at Time-2 must be free of retest effects, and the fulfilment of this assumption must be…
Descriptors: Item Response Theory, Evaluation Methods, Responses, Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Köhler, Carmen; Pohl, Steffi; Carstensen, Claus H. – Educational and Psychological Measurement, 2015
When competence tests are administered, subjects frequently omit items. These missing responses pose a threat to correctly estimating the proficiency level. Newer model-based approaches aim to take nonignorable missing data processes into account by incorporating a latent missing propensity into the measurement model. Two assumptions are typically…
Descriptors: Competence, Tests, Evaluation Methods, Adults
Peer reviewed Peer reviewed
Direct linkDirect link
Birnbaum, Michael H. – Psychological Review, 2011
This article contrasts 2 approaches to analyzing transitivity of preference and other behavioral properties in choice data. The approach of Regenwetter, Dana, and Davis-Stober (2011) assumes that on each choice, a decision maker samples randomly from a mixture of preference orders to determine whether "A" is preferred to "B." In contrast, Birnbaum…
Descriptors: Evidence, Testing, Computation, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Verkuilen, Jay; Smithson, Michael – Journal of Educational and Behavioral Statistics, 2012
Doubly bounded continuous data are common in the social and behavioral sciences. Examples include judged probabilities, confidence ratings, derived proportions such as percent time on task, and bounded scale scores. Dependent variables of this kind are often difficult to analyze using normal theory models because their distributions may be quite…
Descriptors: Responses, Regression (Statistics), Statistical Analysis, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haberman, Shelby J. – ETS Research Report Series, 2004
Criteria for prediction of multinomial responses are examined in terms of estimation bias. Logarithmic penalty and least squares are quite similar in behavior but quite different from maximum probability. The differences ultimately reflect deficiencies in the behavior of the criterion of maximum probability.
Descriptors: Probability, Prediction, Classification, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Hernandez, Jose M.; Rubio, Victor J.; Revuelta, Javier; Santacreu, Jose – Educational and Psychological Measurement, 2006
Trait psychology implicitly assumes consistency of the personal traits. Mischel, however, argued against the idea of a general consistency of human beings. The present article aims to design a statistical procedure based on an adaptation of the pi* statistic to measure the degree of intraindividual consistency independently of the measure used.…
Descriptors: Personality Traits, Reliability, Test Items, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Kaplan, David – Journal of Educational and Behavioral Statistics, 2005
This article considers the problem of estimating dynamic linear regression models when the data are generated from finite mixture probability density function where the mixture components are characterized by different dynamic regression model parameters. Specifically, conventional linear models assume that the data are generated by a single…
Descriptors: Regression (Statistics), Modeling (Psychology), Responses, Models