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Improving the Measurement of School Climate Using Item Response Theory

Title: Improving the Measurement of School Climate Using Item Response Theory
Language: English
Authors: Sarah Lindstrom Johnson; Ray E. Reichenberg; Kathan Shukla; Tracy E. Waasdorp; Catherine P. Bradshaw
Source: Educational Measurement: Issues and Practice. Win 2019 38(4):99-107.
Availability: Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Peer Reviewed: Y
Page Count: 9
Publication Date: 2019
Sponsoring Agency: Institute of Education Sciences (ED); National Institute of Justice (NIJ) (DOJ); Department of Education (ED)
Contract Number: R305H150027; 2014CKBX0005
Document Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education; Secondary Education
Descriptors: Item Response Theory; Educational Environment; Accountability; Educational Legislation; Federal Legislation; Measurement Techniques; Institutional Characteristics; Secondary School Students; Test Items; Item Analysis; Academic Achievement; Institutional Evaluation; Secondary Schools
Laws, Policies and Program Identifiers: Every Student Succeeds Act 2015
DOI: 10.1111/emip.12296
ISSN: 0731-1745; 1745-3992
Abstract: The U.S. government has become increasingly focused on school climate, as recently evidenced by its inclusion as an accountability indicator in the Every Student Succeeds Act. Yet, there remains considerable variability in both conceptualizing and measuring school climate. To better inform the research and practice related to school climate and its measurement, we leveraged item response theory (IRT), a commonly used psychometric approach for the design of achievement assessments, to create a parsimonious measure of school climate that operates across varying individual characteristics. Students (n = 69,513) in 111 secondary schools completed a school climate assessment focused on three domains of climate (i.e., safety, engagement, and environment), as defined by the U.S. Department of Education. Item and test characteristics were estimated using the mirt package in R using unidimensional IRT. Analyses revealed measurement difficulties that resulted in a greater ability to assess less favorable perspectives on school climate. Differential item functioning analyses indicated measurement differences based on student academic success. These findings support the development of a broad measure of school climate but also highlight the importance of work to ensure precision in measuring school climate, particularly when considering use as an accountability measure.
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2019
Accession Number: EJ1236481
Database: ERIC