1,103
Views
13
CrossRef citations to date
0
Altmetric
Evidence Base Update

Data Harmonization: Establishing Measurement Invariance across Different Assessments of the Same Construct across Adolescence

ORCID Icon, , , &
Pages 555-567 | Published online: 11 Jun 2019
 

Abstract

Longitudinal measurement invariance is a major concern for developmental scholars who seek to evaluate the same underlying construct across time. Unfortunately, discontinuities in the expression of various psychological constructs, as well as essential changes in measurement that are necessitated by shifting developmental capacities and practice effects over time, make the task of establishing longitudinal invariance extremely difficult. Drawing on 5 waves of longitudinal data from 392 families (52% female; Mage_W1 = 12.89, SD = .48; Mage_W5 = 21.95, SD = .77; 199 European American and 193 Mexican American families), the current investigation sought to establish measurement invariance across developmentally appropriate changes in measures of depressive symptomatology from early adolescence through early adulthood. Using a combination of item parceling and the common and unique items from 2 assessment instruments for depressive symptoms, the data supported strong factorial invariance in youth’s depressive symptoms across 5 waves of measurement. Findings suggest that traditional invariance approaches can be adapted to determine whether the same construct underlies different measurement instruments across time. This analytic strategy can allow researchers and clinicians to use more sophisticated techniques to understand changes in symptomatology regardless of changes in measurement or developmental capacity. Applying this approach to model patterns of depressive symptomatology from early adolescence to early adulthood has important clinical implications for elucidating periods when youth experience elevations in depressive symptoms and heightened needs for intervention services.

Acknowledgments

This manuscript was completed as a partial requirement for a minor in quantitative methods. We are grateful to all the families who participated in this research project.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by the National Institute of Mental Health, under Grant MH64829 R01, the National Institute of Child Health and Human Development, under Grant RO1HD0566-06A1, and funding provided to the first author through a Ford Foundation Predoctoral Fellowship and a Postdoctoral Fellowship from the National Institute of Mental Health, under Grant T32 MH015755.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 350.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.