Results 31 to 40 of about 4,548 (199)

%lrasch_mml: A SAS Macro for Marginal Maximum Likelihood Estimation in Longitudinal Polytomous Rasch Models

open access: yesJournal of Statistical Software, 2015
Item response theory models are often applied when a number items are used to measure a unidimensional latent variable. Originally proposed and used within educational research, they are also used when focus is on physical functioning or psychological ...
Maja Olsbjerg, Karl Bang Christensen
doaj   +1 more source

Response biases [PDF]

open access: yes, 2016
Response biases comprise a variety of systematic tendencies of responding to questionnaire items. Response biases exert an influence on item responses in addition to any constructs that the questionnaire is designed to measure and can therefore ...
Brown, Anna   +2 more
core   +1 more source

Study of the Unidimensionality of the Subjective Measurement Scale of Schizophrenia Coping Oral Health Profile and Index: SCOOHPI

open access: yesBehavioral Sciences, 2022
Background: The Schizophrenia Coping Oral Health Profile and Index (SCOOHPI) scale studies the coping strategies of schizophrenic patients with regard to oral health. The structural validity of this scale is studied has been studied using factor analyses.
Mohamad Hamad   +4 more
doaj   +1 more source

Influences on classification accuracy of exam sets: an example from vocational education and training [PDF]

open access: yes, 2012
Classification accuracy of single exams is well studied in the educational measurement literature. However, when making important decisions, such as certification decisions, one usually uses several exams: an exam set.
Eggen, T.J.H.M., Hubregtse, M.
core   +3 more sources

An alternative application of Rasch analysis to assess data from ophthalmic patient-reported outcome instruments.

open access: yesPLoS ONE, 2018
PurposeTo highlight the potential shortcomings associated with the current use Rasch analysis for validation of ophthalmic questionnaires, and to present an alternative application of Rasch analysis to derive insights specific to the cohort of patients ...
Richard N McNeely   +4 more
doaj   +1 more source

Judging similarity versus judging difference

open access: yesFrontiers in Education, 2023
A key feature of the polytomous Rasch model is that it entails a single classification process into one of a set of ordered response categories. The first aim of this article is to make explicit two processes in rubric designs that bring about such ...
Stephen Humphry, Paul Montuoro
doaj   +1 more source

The assessment of procedural skills in physiotherapy education: a measurement study using the Rasch model

open access: yesArchives of Physiotherapy, 2020
Background Procedural skills are a key element in the training of future physiotherapists. Procedural skills relate to the acquisition of appropriate motor skills, which allow the safe application of clinical procedures to patients.
Karl Martin Sattelmayer   +4 more
doaj   +1 more source

A Rasch Re-Analysis of the Partnership Questionnaire

open access: yesSAGE Open, 2015
The Partnership Questionnaire (PFB) is used favorably in the German language area to measure partnership quality. The goal of the present study is to re-analyze the subscales of the PFB ( Conflict Behavior, Tenderness, Communication ) via the Rasch model.
Sören Kliem   +5 more
doaj   +1 more source

Psychometric Evaluation of the Insomnia Severity Index in Chronic Disease Patients Using Three Complementary Approaches. [PDF]

open access: yesBrain Behav
The Bangla version of the ISI was validated among adults with chronic diseases using confirmatory factor analysis, Rasch modeling, and network analysis. Findings supported a two‐factor structure (nighttime symptoms, daytime impact) with strong reliability, measurement invariance across gender, and coherent symptom networks.
Al-Mamun F   +5 more
europepmc   +2 more sources

Multilevel IRT Modeling in Practice with the Package mlirt [PDF]

open access: yes, 2007
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Fox, Jean-Paul
core   +4 more sources

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