Results 21 to 30 of about 1,625,624 (298)

Four-Parameter Guessing Model and Related Item Response Models

Mathematical and Computational Applications, 2022
Guessing effects frequently occur in testing data in educational or psychological applications. Different item response models have been proposed to handle guessing effects in dichotomous test items.
Alexander Robitzsch
doaj   +1 more source

Introducing the scr-OLBI Examination of a Short Measure for Assessing Burnout Using Item Response Theory

Psychological Test Adaptation and Development, 2022
. The Greek version of the Oldenburg Burnout Inventory (OLBI), used to assess exhaustion and disengagement from work, was analyzed using item response theory analyses to investigate the dimensionality and the psychometric properties of the measure’s ...
Eirini Marina Mitropoulou, Leonidas Zampetakis   +1 more
doaj   +1 more source

Comparing Robust Linking and Regularized Estimation for Linking Two Groups in the 1PL and 2PL Models in the Presence of Sparse Uniform Differential Item Functioning

Stats, 2023
In the social sciences, the performance of two groups is frequently compared based on a cognitive test involving binary items. Item response models are often utilized for comparing the two groups.
Alexander Robitzsch
doaj   +1 more source

The Impact of Test and Sample Characteristics on Model Selection and Classification Accuracy in the Multilevel Mixture IRT Model

Frontiers in Psychology, 2020
The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
doaj   +1 more source

Evaluation of the Psychometric Properties of the Five Facet of Mindfulness Questionnaire. [PDF]

, 2020
ObjectiveThe Five Facet of Mindfulness Questionnaire (FFMQ) is widely used to assess mindfulness. The present study provides a psychometric evaluation of the FFMQ that includes item response theory (IRT) analyses and evaluation of item characteristic ...
Hays, Ron D, Lu, Nathaniel Y, Shallcross, Amanda   +2 more
core   +2 more sources

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

AppliedMath, 2023
Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
doaj   +1 more source

Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models

International Journal of Assessment Tools in Education, 2018
Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
doaj   +3 more sources

A comparison of parameter covariance estimation methods for item response models in an expectation-maximization framework [PDF]

, 2017
The Expectation-Maximization (EM) algorithm is a method for finding the maximum likelihood estimate of a model in the presence of missing data. Unfortunately, EM does not produce a parameter covariance matrix for standard errors.
Pritikin, Joshua N.
core   +2 more sources

Psychometric Evaluation of an Instrument to Measure Prospective Pregnancy Preferences: The Desire to Avoid Pregnancy Scale. [PDF]

, 2019
BACKGROUND:Existing approaches to measuring women's pregnancy intentions suffer important limitations, including retrospective assessment, overly simple categories, and a presumption that all women plan pregnancies. No psychometrically valid scales exist
Foster, Diana G, Gould, Heather, Ralph, Lauren J, Rocca, Corinne H, Wilson, Mark   +4 more
core   +2 more sources

Nonignorable Consequences of (Partially) Ignoring Missing Item Responses: Students Omit (Constructed Response) Items Due to a Lack of Knowledge

Knowledge, 2023
In recent literature, alternative models for handling missing item responses in large-scale assessments have been proposed. Based on simulations and arguments based on psychometric test theory, it is argued in this literature that missing item responses ...
Alexander Robitzsch
doaj   +1 more source