Estimation of an IRT Model by Mplus for Dichotomously Scored Responses Under Different Estimation Methods
Bibliographic Data
| ID | 20282935 |
|---|---|
| Authors | Insu Paek (0000-0002-2552-9475, Florida State University, Tallahassee, FL, USA, corresponding author), Mengyao Cui (Amplify Education, Inc, Brooklyn, NY, USA), Neşe Öztürk Gübeş (0000-0003-0179-1986, Mehmet Akif Ersoy University, Burdur, Turkey), Yanyun Yang (0000-0001-6671-1583, Florida State University, Tallahassee, FL, USA) |
| Year | 2018 |
| Volume | 78 |
| Issue | 4 |
| Pages | 569-588 |
| Publication date | 2018-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164417715738 |
| PMID | 30147117 |
| OpenAlex | W2697533425 |
| Language | EN |
| Citations received | 8 |
| References cited | 9 |
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students about the relationships between IRT and item factor analysis (FA) parameterizations. Specifically, this is done using the “Theta” and “Delta” parameterizations in Mplus for unidimensional and multidimensional modeling with dichotomous and polytomous responses with and without the scaling constant D. The first objective aims at investigating differences that may occur when using different estimation methods in Mplus for binary response modeling. The second objective was motivated by practical interest observed among graduate students and applied researchers. The relations between IRT and Mplus FA “Theta” and “Delta” parameterizations are described using expressions without the use of matrices, which can be understood efficiently by applied researchers and students
Developmental psychology · Econometrics · Estimation · Item response theory · Polytomous Rasch model · Psychometrics · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Mathematics · Psychology · Psychometric Methodologies and Testing
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| Citations per year | 1.14 |
|---|---|
| Citation span | 2019 - 2025 (7) |
| Highly cited | No |