Results 11 to 20 of about 43,823 (292)

Test Format and Local Dependence of Items Revisited: A Case of Two Vocabulary Levels Tests

open access: yesFrontiers in Psychology, 2022
Local item dependence (LID) is one of the most critical assumption in the Rasch model when it comes to the validity of a test. As the field of vocabulary assessment is calling for more clarity and validity for vocabulary tests, such assumption becomes ...
Hung Tan Ha
doaj   +1 more source

Analisis Instrumen Tes Menggunakan Rasch Model dan Software SPSS 22.0

open access: yesJurnal Inovasi Pendidikan Kimia, 2022
Penelitian ini bertujuan untuk membandingkan perbedaan validitas dan reliabilitas instrumen tes menggunakan Rasch model dan software SPSS 22.0. Penelitian ini merupakan penelitian kualitatif dengan metode deskriptif, yang di ujicobakan kepada 40 ...
Elsa Febrina Tarigan   +4 more
doaj   +1 more source

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

open access: yesInternational 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

Rasch‐ionale for neurologists

open access: yesJournal 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.   +5 more
openaire   +3 more sources

The Robustness of Rasch Estimates [PDF]

open access: yesApplied Psychological Measurement, 1986
The small scale applicability of Rasch estimates was investigated under simulated conditions of guess ing and heterogeneity in item discrimination. The ac curacy of the Rasch estimates was evaluated by means of the correlation between the item/person parameters and their estimates, the standard deviations of the esti mates, and the difference as well ...
openaire   +3 more sources

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]

open access: yesJournal 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

open access: yesJurnal 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   +2 more
doaj   +1 more source

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

open access: yesEuropean 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   +2 more
wiley   +1 more source

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

open access: yesInternational 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

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