The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale

8Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The present study aimed to use a latent profile analysis to distinguish between populations in terms of life domain importance and satisfaction profiles. Then, a multinomial logistic regression was used to determine how background variables (e.g., gender, living areas, and school levels) and self-perceived health predict each latent quality of life (QoL) profile. We also investigated how the latent groups of adolescents predicted negative and positive well-being indicators (e.g., problem behaviors and overall life satisfaction). The sample consisted of 720 Taiwanese secondary school students. Three latent groups were established as follows: "unimportant-unsatisfied," "important-unsatisfied," and "important-satisfied." The results indicate the following: (a) boys were more likely to fall into the "unimportant-unsatisfied" group than were girls; (b) better health increased the likelihood of being in the "important-satisfied" group; (c) high school students were more likely to be in the "unimportant-unsatisfed" group than were middle school students; and (d) no relationship was found between latent groups and living areas. The function of importance rating was not present when evaluating the importance-satisfaction profiles and their relationship with problem behaviors and overall life satisfaction. The problems of the "unimportant-unsatisfied" profile among youth are discussed. © 2013 Springer Science+Business Media Dordrecht.

Cite

CITATION STYLE

APA

Chen, S. K., & Lin, S. S. J. (2014). The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale. Social Indicators Research, 116(2), 429–445. https://doi.org/10.1007/s11205-013-0309-8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free