Performance of an Abbreviated Lubben Social Network Scale (LSNS-6) in Three Ethnic Groups of Older Asian Americans
Year: 2020
Type: article
Abstract: BACKGROUND AND OBJECTIVES: The present study examined the measurement quality and performance of an abbreviated Lubben Social Network Scale (LSNS-6) in three ethnic groups (Chinese, Koreans, and Vietnamese) of older Asian Americans, addressing both within- and cross-group validations. RESEARCH DESIGN AND METHODS: We selected 605 participants aged 50 or older (242 Chinese, 150 Koreans, and 213 Vietnamese) from the 2015 Asian American Quality of Life survey, conducted with self-identified Asian Americans aged 18 or above living in central Texas. We analyzed LSNS-6 data on measurement qualities (internal consistency and corrected item-total correlation), dimensionality (exploratory and confirmatory factor analyses), and correlations with other indicators. RESULTS: LSNS-6 showed very good internal consistency in each ethnic group, and the two-factor structure of family and friends were invariant across the groups. The items on friends demonstrated greater homogeneity than those on family and emerged as a first factor. Both subscale and total scores of LSNS-6 were associated in expected directions with the social and health indicators considered. DISCUSSION AND IMPLICATIONS: The findings confirm the measurement qualities of LSNS-6 within each group and provide support for measurement invariance across the groups. While the observed difference in family and friend networks warrants further investigation, LSNS-6 serves as a viable option for the assessment of social networks. When using LSNS-6 with older Asian Americans, it is highly recommended to use the family/friend subscales in consideration of cultural and immigration contexts.
Source: The Gerontologist
Authors: Yuri Jang, Daniel A Powers, Nan Sook Park, David A Chiriboga, Iris Chi, James Lubben
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Award: Population Research Center
OpenAlex ID: W3089680861
