Document Detail

A multi-study analysis of conceptual and measurement issues related to health research on acculturation in Latinos.
MedLine Citation:
PMID:  23361579     Owner:  NLM     Status:  MEDLINE    
PURPOSE: The aims of the study were to evaluate the orthogonality of acculturation for Latinos.
DESIGN: Regression analyses were used to examine acculturation in two Latino samples (N = 77; N = 40). In a third study (N = 673), confirmatory factor analyses compared unidimensional and bidimensional models.
METHOD: Acculturation was assessed with the ARSMA-II (Studies 1 and 2), and language proficiency items from the Children of Immigrants Longitudinal Study (Study 3).
RESULTS: In Studies 1 and 2, the bidimensional model accounted for slightly more variance (R (2)Study 1 = .11; R (2)Study 2 = .21) than the unidimensional model (R (2)Study 1 = .10; R (2)Study 2 = .19). In Study 3, the bidimensional model evidenced better fit (Akaike information criterion = 167.36) than the unidimensional model (Akaike information criterion = 1204.92).
DISCUSSION: Acculturation is multidimensional.
IMPLICATIONS: Care providers should examine acculturation as a bidimensional construct.
Arthur R Andrews; Ana J Bridges; Debbie Gomez
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2013-01-29
Journal Detail:
Title:  Journal of transcultural nursing : official journal of the Transcultural Nursing Society / Transcultural Nursing Society     Volume:  24     ISSN:  1552-7832     ISO Abbreviation:  J Transcult Nurs     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-03-05     Completed Date:  2014-02-20     Revised Date:  2014-07-31    
Medline Journal Info:
Nlm Unique ID:  9001407     Medline TA:  J Transcult Nurs     Country:  United States    
Other Details:
Languages:  eng     Pagination:  134-43     Citation Subset:  N    
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MeSH Terms
Emigrants and Immigrants / psychology*,  statistics & numerical data
Factor Analysis, Statistical
Health Services Research*
Hispanic Americans / psychology*,  statistics & numerical data
Regression Analysis
Socioeconomic Factors
Time Factors
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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