Results 1 to 10 of about 9,937,562 (154)

Sample Size Requirements for Estimation of Item Parameters in the Multidimensional Graded Response Model [PDF]

Frontiers in Psychology, 2016
Likert types of rating scales in which a respondent chooses a response from an ordered set of response options are used to measure a wide variety of psychological, educational, and medical outcome variables.
Shengyu eJiang, Chun eWang, David J Weiss   +2 more
doaj   +3 more sources

A Monte Carlo study of IRTree models’ ability to recover item parameters [PDF]

Frontiers in Psychology, 2023
Item response tree (IRTree) models are theorized to extract response styles from self-report data by utilizing multidimensional item response theory (IRT) models based on theoretical decision processes.
Gene M. Alarcon, Michael A. Lee, Dexter Johnson   +2 more
doaj   +2 more sources

Parameters and Models of Item Response Theory (IRT): A Review of Literature

Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students’ ability from any set of the items.
Gyamfi Abraham, Acquaye Rosemary
doaj   +2 more sources

AI-generated biochemistry test item parameters in MST test conditions [PDF]

BMC Medical Education
Background This study investigated whether ChatGPT 4o could accurately estimate the difficulty of medical assessment items by comparing its predictions with empirically-derived parameters from multistage testing simulations.
Murat Polat, Engin Karadag
doaj   +2 more sources

Empirical comparison of item response theory models with rater's parameters

Heliyon, 2018
In various assessment contexts including entrance examinations, educational assessments, and personnel appraisal, performance assessment by raters has attracted much attention to measure higher order abilities of examinees.
Masaki Uto, Maomi Ueno
doaj   +2 more sources

NAIS: Neural Attentive Item Similarity Model for Recommendation [PDF]

IEEE Transactions on Knowledge and Data Engineering, 2018
Item-to-item collaborative filtering (aka.item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency in real-time personalization. It builds a user's profile as her historically
Tat-Seng Chua, Xiangnan He, Yu-Gang Jiang   +2 more
exaly   +2 more sources

The Journey from Likert to Forced-Choice Questionnaires: Evidence of the Invariance of Item Parameters

Journal of Work and Organizational Psychology, 2019
Multidimensional forced-choice questionnaires are widely regarded in the personnel selection literature for their ability to control response biases. Recently developed IRT models usually rely on the assumption that item parameters remain invariant when ...
Daniel Morillo, Francisco J. Abad, Rodrigo S. Kreitchmann, Iwin Leenen, Pedro Hontangas, Vicente Ponsoda   +5 more
doaj   +2 more sources

Influence of Context on Item Parameters in Forced-Choice Personality Assessments. [PDF]

Educ Psychol Meas, 2017
Lin Y, Brown A.
europepmc   +2 more sources

Item parameter estimations for multidimensional graded response model under complex structures

Frontiers in Education, 2022
Item parameter recovery in the compensatory multidimensional graded response model (MGRM) under simple and complex structures with rating-scale item response data was examined.
Olasunkanmi James Kehinde, Shenghai Dai, Brian French   +2 more
doaj   +1 more source

Study Item Parameters of Classical and Modern Theory of Differential Aptitude Test: Is it Comparable?

European Journal of Educational Research, 2023
This study aimed to find the Classical Test Theory (CTT) and Modern Test Theory (MTT) item parameters of the Differential Aptitude Test (DAT) and examined their comparability of them.
Farida Agus, Rizki Nor, B. Sumintono, Edi Purwanta   +3 more
semanticscholar   +1 more source