Measurement Invariance of the Adolescent Quality of Life-Mental Health Scale (AQOL-MHS) across Gender, Age and Treatment Context
- 263 Downloads
The Adolescent Quality of Life-Mental Health Scale (AQOL-MHS) was designed to measure quality of life in clinical samples of Latino adolescents aged 12–18 years, but has also been used in community samples. The original measure included three factors: Emotional Regulation (ER), Self-Concept (SC) and Social Context (SoC). The goals of this study are to replicate the factor structure using confirmatory factor analysis (CFA), shorten the instrument and test the degree of measurement invariance across gender, age, and type of sample. Participants for the analyses (N = 354) came from two populations in the San Juan Metropolitan Area: (1) adolescents from randomly selected households, using a multi-stage probability sampling design (n = 295), and (2) adolescents receiving treatment at mental health clinics (n = 59). We first carried out a conceptual item analysis for item reduction purposes and then assessed dimensional, configural, metric and scalar invariance for each factor using the Mplus software system. The original 3-factor structure was replicated with comparable model fit in each treatment context. Metric invariance was attained for all three scales across groups. Either full or partial scalar invariance was also observed with DIF in a total of 6 items. Invariance testing supports the use of the abridged 21 item version of the AQOL-MHS to compare diverse individuals with little bias using observed scores, but for refined estimates the ideal scoring will be from a latent variable model.
KeywordsQuality of life Measurement invariance Adolescent Mental health
This study was supported by the National Institutes of Health research award #HD060888 and #GM109326, and was partly supported by grants HL079966 and HL117191 from the U.S. National Institutes of Health (NIH), and by The Heinz Endowments. The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
L.C.: designed and executed the study, conducted data analysis, and wrote the manuscript. P.S.: collaborated in conceptualization and study design, data analyses and writing of the manuscript. P.G.: conducted data management and data analysis. E.F. and J.C.C.: participated in study design, data management, and drafting the manuscript.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
The University of Puerto Rico Medical Sciences Campus IRB approved this study. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
- Bagheri, Z., Jafari, P., Tashakor, E., Kouhpayeh, A., & Riazi, H. (2014). Assessing whether measurement invariance of the KIDSCREEN-27 across child-parent dyad depends on the child gender: a multiple group confirmatory factor analysis. Global Journal of Health Sciences, 6(5), 142–53.Google Scholar
- Kline, R. (2016). Principles and practice of structural equation modeling, Fourth edition. New York, NY: Guilford.Google Scholar
- Muthén, L. K., & Muthén, B. O. (1998). Mplus User’s Guide. 8th Edition Los Angeles, CA: Muthén & Muthén. 2017.Google Scholar