Results 11 to 20 of about 4,548 (199)

Estimation of Models in a Rasch Family for Polytomous Items and Multiple Latent Variables [PDF]

Journal of Statistical Software, 2007
The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters
Carolyn J. Anderson, Zhushan Li, Jeroen K. Vermunt   +2 more
doaj   +21 more sources

ltm: An R Package for Latent Variable Modeling and Item Response Analysis [PDF]

Journal of Statistical Software, 2006
The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum's Three-
Dimitris Rizopoulos
doaj   +4 more sources

Measurement of level of PTSD with the International Trauma Questionnaire (ITQ): bias and precision when using full ordinal or dichotomized items [PDF]

European Journal of Psychotraumatology
Background: The introduction of the WHO ICD-11 created a need for reliable and valid measures of Post-Traumatic Stress Disorder (PTSD) and complex PTSD (CPTSD).
Tine Nielsen, Ask Elklit, Sabrina Brødsgaard Nielsen, Mikkel Auning-Hansen, Svend Kreiner, Maria Louison Vang   +5 more
doaj   +2 more sources

pcIRT: An R Package for Polytomous and Continuous Rasch Models [PDF]

Journal of Statistical Software, 2018
A key task in psychological assessment is the scaling of new psychological tests and questionnaires. Item response theory (IRT) is a well-established framework for this area of research.
Christine Hohensinn
doaj   +3 more sources

Estimating Explanatory Extensions of Dichotomous and Polytomous Rasch Models: The eirm Package in R

Psych, 2021
Explanatory item response modeling (EIRM) enables researchers and practitioners to incorporate item and person properties into item response theory (IRT) models.
Okan Bulut, Guher Gorgun, Seyma Nur Yildirim-Erbasli   +2 more
doaj   +3 more sources

Mokken scale analysis of mental health and well-being questionnaire item responses: a non-parametric IRT method in empirical research for applied health researchers [PDF]

BMC Medical Research Methodology, 2012
Background Mokken scaling techniques are a useful tool for researchers who wish to construct unidimensional tests or use questionnaires that comprise multiple binary or polytomous items. The stochastic cumulative scaling model offered by this approach is
Stochl Jan, Jones Peter B, Croudace Tim J   +2 more
doaj   +4 more sources

Rasch fit statistics and sample size considerations for polytomous data

BMC Medical Research Methodology, 2008
Background Previous research on educational data has demonstrated that Rasch fit statistics (mean squares and t-statistics) are highly susceptible to sample size variation for dichotomously scored rating data, although little is known about this ...
Fallowfield Lesley J, Rush Robert, Smith Adam B, Velikova Galina, Sharpe Michael   +4 more
doaj   +3 more sources

Conceptual and Empirical Item Hierarchies of a Managerial Complexity Tool (TOH-SOC) [PDF]

Journal of Healthcare Leadership
Magnus Lindberg, Maria Lindberg, Karin Lundin Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Gävle, SwedenCorrespondence: Karin Lundin, Department of Caring Sciences, Faculty of Health and Occupational ...
Lindberg M, Lindberg M, Lundin K
doaj   +2 more sources

Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R [PDF]

Journal of Statistical Software, 2007
Item response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant ...
Patrick Mair, Reinhold Hatzinger
doaj   +1 more source

Georg Rasch and Benjamin Wright’s Struggle With the Unidimensional Polytomous Model With Sufficient Statistics [PDF]

Educational and Psychological Measurement, 2016
This article reproduces correspondence between Georg Rasch of The University of Copenhagen and Benjamin Wright of The University of Chicago in the period from January 1966 to July 1967. This correspondence reveals their struggle to operationalize a unidimensional measurement model with sufficient statistics for responses in a set of ordered categories.
David Andrich
openaire   +4 more sources