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Mansolf M, Vreeker A, Reise SP, et al. Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium. Educ Psychol Meas. 2020;80(5):870-909doi: 10.1177/0013164419897307.
Mansolf, M., Vreeker, A., Reise, S. P., Freimer, N. B., Glahn, D. C., Gur, R. E., Moore, T. M., Pato, C. N., Pato, M. T., Palotie, A., Holm, M., Suvisaari, J., Partonen, T., Kieseppä, T., Paunio, T., Boks, M., Kahn, R., Ophoff, R. A., Bearden, C. E., Loohuis, L. O., Teshiba, T., deGeorge, D., Bilder, R. M. (2020). Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium. Educational and psychological measurement, 80(5), 870-909. https://doi.org/10.1177/0013164419897307
Mansolf, Maxwell, et al. "Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium." Educational and psychological measurement vol. 80,5 (2020): 870-909. doi: https://doi.org/10.1177/0013164419897307
Mansolf M, Vreeker A, Reise SP, Freimer NB, Glahn DC, Gur RE, Moore TM, Pato CN, Pato MT, Palotie A, Holm M, Suvisaari J, Partonen T, Kieseppä T, Paunio T, Boks M, Kahn R, Ophoff RA, Bearden CE, Loohuis LO, Teshiba T, deGeorge D, Bilder RM. Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium. Educ Psychol Meas. 2020 Oct;80(5):870-909. doi: 10.1177/0013164419897307. Epub 2020 Feb 05. PMID: 32855563; PMCID: PMC7425327.
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Educ Psychol Meas. 2020 Oct;80(5):870-909. doi: 10.1177/0013164419897307. Epub 2020 Feb 05.

Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium.

Educational and psychological measurement

Maxwell Mansolf, Annabel Vreeker, Steven P Reise, Nelson B Freimer, David C Glahn, Raquel E Gur, Tyler M Moore, Carlos N Pato, Michele T Pato, Aarno Palotie, Minna Holm, Jaana Suvisaari, Timo Partonen, Tuula Kieseppä, Tiina Paunio, Marco Boks, René Kahn, Roel A Ophoff, Carrie E Bearden, Loes Olde Loohuis, Terri Teshiba, Daniella deGeorge, Robert M Bilder,

Affiliations

  1. University of California, Los Angeles, Los Angeles, CA, USA.
  2. University Medical Center Utrecht, Utrecht, Netherlands.
  3. Harvard Medical School, Boston, MA, USA.
  4. University of Pennsylvania, Philadelphia, PA, USA.
  5. SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
  6. Massachusetts Institute of Technology, Cambridge, MA, USA.
  7. Harvard University, Boston, MA, USA.
  8. University of Helsinki, Helsinki, Finland.
  9. National Institute for Health and Welfare, Finland, Helsinki.
  10. Icahn School of Medicine at Mount Sinai, New York, NY, USA.

PMID: 32855563 PMCID: PMC7425327 DOI: 10.1177/0013164419897307

Abstract

Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this research, we show that Asparouhov and Muthén's alignment method can be adapted to align data from disparate item sets and response formats. We argue that with these adaptations, the alignment method is well suited for combining data across multiple sites even when they use different measurement instruments. The approach is illustrated using data from the Whole Genome Sequencing in Psychiatric Disorders consortium and a real-data-based simulation is used to verify accurate parameter recovery. Factor alignment appears to increase precision of measurement and validity of scores with respect to external criteria. The resulting parameter estimates may further inform development of more effective and efficient methods to assess the same constructs in prospectively designed studies.

© The Author(s) 2020.

Keywords: data integration; differential item functioning; harmonization; mega-analysis; test equating

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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