Results 11 to 20 of about 24,482,117 (243)

Assessing item-level fit for the sequential G-DINA model

open access: yesBehaviormetrika
R function to implement the item-level fit statistics used in the paper "Assessing Item-Level Fit for the Sequential G-DINA Model"
Pablo Nájera   +3 more
core   +3 more sources

On the Identifiability of Cognitive Diagnostic Models: Diagnosing Students’ Translation Ability

open access: yesJournal of Language and Education, 2023
Background. In recent years Cognitive Diagnostic Models (CDMs) have attracted a great deal of attention from researchers in a variety of educational fields. However, they have not been taken into consideration in Translation Quality Assessment (TQA), in
Mona Tabatabaee-Yazdi, Aynaz Samir
doaj   +1 more source

Category-Level Model Selection for the Sequential G-DINA Model [PDF]

open access: yesJournal of Educational and Behavioral Statistics, 2018
Solving a constructed-response item usually requires successfully performing a sequence of tasks. Each task could involve different attributes, and those required attributes may be “condensed” in various ways to produce the responses. The sequential generalized deterministic input noisy “and” gate model is a general cognitive diagnosis model (CDM) for ...
Wenchao Ma, Jimmy de la Torre
openaire   +1 more source

Cognitive Diagnostic Models for Random Guessing Behaviors

open access: yesFrontiers in Psychology, 2020
Many test-takers do not carefully answer every test question; instead they sometimes quickly answer without thoughtful consideration (rapid guessing, RG).
Chia-Ling Hsu   +2 more
doaj   +1 more source

Examining Parameter Invariance in a General Diagnostic Classification Model

open access: yesFrontiers in Psychology, 2020
The present study aimed at investigating invariance of a diagnostic classification model (DCM) for reading comprehension across gender. In contrast to models with continuous traits, diagnostic classification models inform mastery of a finite set of ...
Hamdollah Ravand   +2 more
doaj   +1 more source

Authentic Leadership: Development and Initial Validation of a Situational Judgment Test [PDF]

open access: yesRevista Psicologia, 2020
This study describes the development and the search for initial validity evidence (content and internal structure) of the Authentic Leadership Rating Scale (ALRS), a situational judgment test. The initial scale consisted of 16 items presenting challenges
Maria Isabel de Campos   +1 more
doaj   +1 more source

Using country-specific Q-matrices for cognitive diagnostic assessments with international large-scale data

open access: yesLarge-scale Assessments in Education, 2022
In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or “Q-matrix”) designed by subject-matter experts has been a great challenge to real-world applications.
Jolien Delafontaine   +3 more
doaj   +1 more source

Estimating CDMs Using the Slice-Within-Gibbs Sampler

open access: yesFrontiers in Psychology, 2020
In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu   +4 more
doaj   +1 more source

Tourism architecture design strategy in tourism area planning based on G-DINA model

open access: yesApplied Mathematics and Nonlinear Sciences, 2023
Abstract Tourism architecture is an important material guarantee for carrying out tourism activities in scenic spots and is an important part of the tourism system. This paper analyzes the theory and structure of the G-DINA model in detail.
Chaoqin Bai, Xiaochen Zhang
openaire   +1 more source

An Improved Parameter-Estimating Method in Bayesian Networks Applied for Cognitive Diagnosis Assessment

open access: yesFrontiers in Psychology, 2021
Bayesian networks (BNs) can be employed to cognitive diagnostic assessment (CDA). Most of the existing researches on the BNs for CDA utilized the MCMC algorithm to estimate parameters of BNs. When EM algorithm and gradient descending (GD) learning method
Ling Ling Wang   +3 more
doaj   +1 more source

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