Extensions of Multiple-Group Item Response Theory Alignment
| Autor: | Timo Partonen, Loes M. Olde Loohuis, Nelson B. Freimer, Marco P. Boks, Raquel E. Gur, David C. Glahn, Daniella deGeorge, Steven P. Reise, Roel A. Ophoff, Carlos N. Pato, Terri M. Teshiba, Tyler M. Moore, Michele T. Pato, Jaana Suvisaari, René S. Kahn, Aarno Palotie, Tuula Kieseppä, Robert M. Bilder, Annabel Vreeker, Tiina Paunio, Minna Holm, Carrie E. Bearden, Maxwell Mansolf |
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| Přispěvatelé: | Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
mega-analysis
medicine.medical_specialty SYMPTOMS Computer science SAMPLES Inference Genomics computer.software_genre 01 natural sciences Article VALIDATION Education VARIABLES 010104 statistics & probability 0504 sociology Item response theory Equating Developmental and Educational Psychology medicine IMPUTATION differential item functioning Imputation (statistics) 0101 mathematics Psychiatry data integration Applied Psychology INTEGRATIVE DATA-ANALYSIS Applied Mathematics 05 social sciences 050401 social sciences methods Differential item functioning INTERVIEW harmonization INFERENCE Mega analysis SCALES test equating computer Data integration |
| Zdroj: | Educational and Psychological Measurement, 870-909. SAGE Publications Inc. ISSUE=5;STARTPAGE=870;ENDPAGE=909;ISSN=0013-1644;TITLE=Educational and Psychological Measurement Educ Psychol Meas |
| ISSN: | 0013-1644 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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