Results 21 to 30 of about 21,535,999 (376)

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

Analysis of Rasch Model for the Validation of Chemistry National Exam Instruments

Jurnal Pendidikan Sains Indonesia, 2021
Information about score obtained from a test is often interpreted as an indicator of the student's ability level. This is one of the weaknesses of classical analysis that are unable to provide meaningful and fair information.
A. Darmana, Ani Sutiani, H. Nasution, Ismanisa Ismanisa, Nurhaswinda Nurhaswinda   +4 more
semanticscholar   +1 more source

Relating the One-Parameter Logistic Diagnostic Classification Model to the Rasch Model and One-Parameter Logistic Mixed, Partial, and Probabilistic Membership Diagnostic Classification Models

Foundations, 2023
Diagnostic classification models (DCMs) are statistical models with discrete latent variables (so-called skills) to analyze multiple binary variables (i.e., items).
Alexander Robitzsch
doaj   +1 more source

APPLICATION OF THE RASCH MODEL ON THE TEST INSTRUMENT TO ANALYZE THE PROBLEM-SOLVING ABILITY OF STUDENTS IN ACID-BASE SOLUTIONS MATERIALS

EDUSAINS, 2021
APPLICATION OF THE RASCH MODEL ON THE TEST INSTRUMENT TO ANALYZE THE PROBLEM-SOLVING ABILITY OF STUDENTS IN ACID-BASE SOLUTIONS MATERIALS Abstract In 21st century education, students are required to have high problem-solving skills.
Nurkintan Aprilia, Endang Susilaningsih, Sudarmin Sudarmin, Woro Sumarni, F. Widhi Mahatmanti, Naftalina Ulik Adhelia   +5 more
doaj   +1 more source

The Rasch Model as a Loglinear Model [PDF]

Applied Psychological Measurement, 1981
The Rasch model is formulated as a loglinear model. The goodness of fit and parameter estimates of the Rasch model can be obtained using the itera tive proportional fitting algorithm for loglinear models. It is shown in an example that the relation between the estimates of the iterative proportional fitting algorithm and the unconditional maximum ...
Mellenbergh, Gideon J., Vijn, Pieter
openaire   +3 more sources

Rasch analysis of the living with chronic illness scale in Parkinson’s disease

BMC Neurology, 2020
Background Neurologists play an essential role in facilitating the patient’s process of living with Parkinson’s disease (PD). The Living with Chronic Illness Scale-PD (LW-CI-PD) is a unique available clinical tool that evaluates how the patient is living
Leire Ambrosio, Carmen Rodriguez-Blazquez, Alba Ayala, Maria João Forjaz   +3 more
doaj   +1 more source

Measuring child and adolescent well-being in Denmark: Validation and norming of the Danish KIDSCREEN-10 child/adolescent version in a national representative sample of school pupils in grades five through eight.

PLoS ONE, 2023
KIDSCREEN-10 is a generic instrument for measuring global health-related quality of life among 8-18-year-old children and adolescents. This study examines the criterion-related construct validity and psychometric properties of the Danish language version
Tine Nielsen, Maiken Pontoppidan, Morten Pettersson, Christina H Donstrup, Svend Kreiner, Signe Boe Rayce   +5 more
doaj   +1 more source

Model Rasch sebagai Kerangka Acuan Penyusunan Alat Ukur

Jurnal Pendidikan dan Kebudayaan, 2015
This article is a review of the function of the Rasch model as a frame of reference in constructing instruments in social sciences, particularly for education and psychology.
Asrijanty --
doaj   +1 more source

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

Item analysis of the Eating Assessment Tool (EAT-10) by the Rasch model: a secondary analysis of cross-sectional survey data obtained among community-dwelling elders

Health and Quality of Life Outcomes, 2020
Background The Eating Assessment Tool (EAT-10) is increasingly used to screen for self-perceived oropharyngeal dysphagia (OD) in community-dwelling elders. A summated EAT-10 total score ranges from 0 to 40, with a score ≥ 3 indicative of OD.
T. Hansen, A. Kjaersgaard
semanticscholar   +1 more source