Results 11 to 20 of about 207,311 (269)

Causal Rasch Models [PDF]

Frontiers in Psychology, 2013
AbstractRasch’s unidimensional models for measurement show how to connect object measures (e.g., reader abilities), measurement mechanisms (e.g., machine-generated cloze reading items), and observational outcomes (e.g., counts correct on reading instruments).
Stenner, A. Jackson, Fisher, William P., Stone, Mark H., Burdick, Donald S.   +3 more
openaire   +3 more sources

A probabilistic threshold model: Analyzing semantic categorization data with the Rasch model [PDF]

, 2010
According to the Threshold Theory (Hampton, 1995, 2007) semantic categorization decisions come about through the placement of a threshold criterion along a dimension that represents items' similarity to the category representation.
Baker, Barsalou, Birnbaum, Bjorklund, Braeken, Braisby, Braisby, Clark, De Boeck, Dry, Fischer, Gardner, Gert Storms, Hampton, Hampton, Hampton, Hampton, Hampton, James A. Hampton, Janssen, Johnson, Keil, Kim, Komatsu, Lee, Lin, Lunn, McCloskey, Mervis, Mervis, Nelson, Osherson, Palmeri, Rasch, Rizopoulos, Smith, Steven Verheyen, Stukken, Thissen, Tuerlinckx, Van den Noortgate, Vanpaemel, Verheyen, Verheyen   +43 more
core   +1 more source

The Impact of Ignoring Multilevel Data Structure on the Estimation of Dichotomous Item Response Theory Models

International Journal of Assessment Tools in Education, 2019
Applyingsingle-level statistical models to multilevel data typically producesunderestimated standard errors, which may result in misleading conclusions.This study examined the impact of ignoring multilevel data structure on theestimation of item ...
Hyung Rock Lee, Sunbok Lee, Jaeyun Sung
doaj   +1 more source

Using Rasch analysis to form plausible health states amenable to valuation: the development of CORE-6D from CORE-OM in order to elicit preferences for common mental health problems [PDF]

, 2011
Purpose: To describe a new approach for deriving a preference-based index from a condition specific measure that uses Rasch analysis to develop health states.
A Tennant, AB Smith, AM Gray, C Chatfield, C Evans, C Evans, CA Sugar, D Chisholm, D Feeny, EV Smith Jr, G Willige van de, GA Miller, Ifigeneia Mavranezouli, J Brazier, J Brazier, J Brazier, J Brazier, J Brazier, J Moock, JE Brazier, JE Brazier, John E. Brazier, L McKenzie, M Barkham, M Barkham, M Barkham, M Knapp, Michael Barkham, P Dolan, T Young, TA Young, TG Bond, Tracey A. Young, Y Yang   +33 more
core   +1 more source

The Contact Lens Impact on Quality of Life (CLIQ) questionnaire: development and validation [PDF]

, 2009
NoPURPOSE. To develop and validate a questionnaire for the measurement of the impact of contact lenses on quality of life (QoL): The Contact Lens Impact on Quality of Life (CLIQ) Questionnaire. METHODS. The questionnaire was developed and validated using
Elliott, David B., Garamendi, Estibaliz, Pesudovs, Konrad   +2 more
core   +1 more source

Analysing Effects of Birth Order on Intelligence, Educational Attainment, Big Five, and Risk Aversion in an Indonesian Sample

European Journal of Personality, EarlyView., 2020
Abstract Few studies have examined birth order effects on personality in countries that are not Western, educated, industrialized, rich, and democratic (WEIRD). However, theories have generally suggested that interculturally universal family dynamics are the mechanism behind birth order effects, and prominent theories such as resource dilution would ...
Laura J. Botzet, Julia M. Rohrer, Ruben C. Arslan   +2 more
wiley   +1 more source

Rasch‐ionale for neurologists

Journal of the Peripheral Nervous System, 2015
AbstractOutcome measures are considered the most important tools to monitor patients' outcome in both clinical and research settings. Measuring the clinical state of patients is a fundamental part of our daily clinical practice and research that sometimes is taken for granted.
Vanhoutte, Els K., Hermans, Mieke C. E., Faber, Catharina G., Gorson, Kenneth C., Merkies, Ingemar S. J., Thonnard, Jean-L, Barreira AA, Bennett D, Hadden RD, Hughes RA, Lunn MP, Reilly MM, van den Berg LH, van Doorn PA, Faber CG, van der Kooi AJ, Merkies IS, Notermans NC, Raaphorts J, van Schaik IN, de Visser M, Cats EA, Van den Bergh PY, Bombelli F, Costa R, Franques J, Léger JM, Pouget J, Bril V, Hahn AF, Katzberg H, Campanella A, Devigili G, Gallia F, G. LAURIA PINTER, E. NOBILE-ORAZIO, Padua L, Cornblath DR, Gorson KC, Lewis RA, Illa I, Querol L, van Nes S.I.   +42 more
openaire   +3 more sources

A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies

International Journal of Contemporary Educational Research, 2023
Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model ...
Turker Toker, Kent Seıdel
doaj   +1 more source

The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination [PDF]

Journal of Educational Evaluation for Health Professions, 2021
Purpose Diagnostic classification models (DCMs) were developed to identify the mastery or non-mastery of the attributes required for solving test items, but their application has been limited to very low-level attributes, and the accuracy and consistency
Dong Gi Seo, Jae Kum Kim
doaj   +1 more source

Comparing item parameter estimates and fit statistics of the Rasch model from three different traditions

Jurnal Penelitian dan Evaluasi Pendidikan, 2020
Rasch model is a method that has a long history in its application in the fields of social and behavioral sciences, including educational measurement.
Bahrul Hayat, Muhammad Dwirifqi Kharisma Putra, Bambang Suryadi   +2 more
doaj   +1 more source