In:
Educational and Psychological Measurement, SAGE Publications, Vol. 80, No. 5 ( 2020-10), p. 870-909
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.
Type of Medium:
Online Resource
ISSN:
0013-1644
,
1552-3888
DOI:
10.1177/0013164419897307
Language:
English
Publisher:
SAGE Publications
Publication Date:
2020
detail.hit.zdb_id:
1500101-5
detail.hit.zdb_id:
206630-0
SSG:
5,2
SSG:
5,3
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