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

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Title: Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium
Language: English
Authors: Mansolf, Maxwell (ORCID 0000-0001-6861-8657), Vreeker, Annabel, Reise, Steven P., Freimer, Nelson B., Glahn, David C., Gur, Raquel E., Moore, Tyler M., Pato, Carlos N., Pato, Michele T., Palotie, Aarno, Holm, Minna, Suvisaari, Jaana, Partonen, Timo, Kieseppä, Tuula, Paunio, Tiina, Boks, Marco, Kahn, René, Ophoff, Roel A., Bearden, Carrie E., Loohuis, Loes Olde, Teshiba, Terri, deGeorge, Daniella, Bilder, Robert M.
Source: Educational and Psychological Measurement. Oct 2020 80(5):870-909.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 40
Publication Date: 2020
Sponsoring Agency: National Institute of Mental Health (DHHS/NIH)
Contract Number: U01MH105653
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Document Type: Journal Articles
Reports - Research
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity, Scores, Genetics, Mental Disorders, Foreign Countries, Consortia, Global Approach
Geographic Terms: California (Los Angeles), New York, Finland, Netherlands, Costa Rica, Colombia, Texas, Pennsylvania
DOI: 10.1177/0013164419897307
ISSN: 0013-1644
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 GROUP Investigators and the WGSPD Consortium contributed to the writing of this article.]
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1263662
Database: ERIC
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  Data: 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 GROUP Investigators and the WGSPD Consortium contributed to the writing of this article.]
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