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Cited by 65Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceIntergenerational and Educational Inequality Studies

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A Multilevel Bayesian Item Response Theory Method for Scaling Socioeconomic Status in International Studies of Education

May, Henry·2006·Journal of Educational and Behavioral Statistics
DOI 10.3102/10769986031001063
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Abstract

A new method is presented and implemented for deriving a scale of socioeconomic status (SES) from international survey data using a multilevel Bayesian item response theory (IRT) model. The proposed model incorporates both international anchor items and nation-specific items and is able to (a) produce student family SES scores that are internationally comparable, (b) reduce the influence of irrelevant national differences in culture on the SES scores, and (c) effectively and efficiently deal with the problem of missing data in a manner similar to Rubin’s (1987) multiple imputation approach. The results suggest that this model is superior to conventional models in terms of its fit to the data and its ability to use information collected via international surveys.

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  • The multigroup Rasch models for each item in each country yielded similar parameters, indicating measurement equivalence across countries.

    “The multigroup Rasch models for each item in each country yielded similar parameters, indicating measurement equivalence across countries (May, 2006).”

    From Students’ Sense of Belonging at School in 41 Countries: Cross-Cultural Variability (2016) · cites this paper as May, 2006

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Research works printed but not linked: 35

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Metadata

Authors
May, H.
Affiliations
University of Pennsylvania (US)
Corresponding author
May, Henry
ORCID
May, Henry
Venue
Journal of Educational and Behavioral Statistics
Publisher
American Educational Research Association (AERA)
Published
2006-03
Volume
31
Issue
1
Pages
63-79
ISSN
  • 1076-9986 (ISSN-L)
  • 1935-1054
DOI
10.3102/10769986031001063
OpenAlex
W2020434348
Cited by
65
References
0
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 3 · 2020: 2 · 2019: 1 · 2018: 3 · 2017: 6 · 2015: 5 · 2014: 1 · 2013: 4 · 2012: 5
FWCI
3.87
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Journal of Educational and Behavioral Statistics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
Keywords
socioeconomic status, international student assessment, scale development, international comparability, missing data, multiple imputation, PISA

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