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ERIC Number: EJ1122887
Record Type: Journal
Publication Date: 2017-Jan
Pages: 44
Abstractor: As Provided
ISSN: ISSN-0272-4316
Introduction to Multilevel Item Response Theory Analysis: Descriptive and Explanatory Models
Sulis, Isabella; Toland, Michael D.
Journal of Early Adolescence, v37 n1 p85-128 Jan 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within clusters (e.g., classes). This article introduces multilevel IRT (MLIRT) modeling, and provides the basic information to conduct, interpret, and report results based on an analysis using MLIRT modeling. The procedures are demonstrated using a sample data set based on the National Institute for the Evaluation of School System survey completed in Italy by fifth-grade students nested in classrooms to assess math achievement. The data and command files (Stata, M"plus", flexMIRT) needed to reproduce all analyses and plots in this article are available as supplemental online materials at
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Grade 5; Intermediate Grades; Middle Schools; Elementary Education; Primary Education; Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Italy
Grant or Contract Numbers: N/A