Bidimensional Measurement of Acculturation in a Sample of Pregnant Latinas and Their Biological Partners

التفاصيل البيبلوغرافية
العنوان: Bidimensional Measurement of Acculturation in a Sample of Pregnant Latinas and Their Biological Partners
المؤلفون: Jason J. Burrow-Sanchez, Paul Florsheim
المصدر: Hispanic Journal of Behavioral Sciences. 39:336-348
بيانات النشر: SAGE Publications, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Cultural Studies, Linguistics and Language, Social Psychology, 05 social sciences, Sample (statistics), Health outcomes, Confirmatory factor analysis, Acculturation, 050106 general psychology & cognitive sciences, Rating scale, Anthropology, medicine, Anxiety, 0501 psychology and cognitive sciences, Substance use, medicine.symptom, Psychology, Teen pregnancy, 050104 developmental & child psychology, Clinical psychology
الوصف: Acculturation has been linked to a number of health outcomes for Latinos including depression, anxiety, self-esteem, substance use, and teen pregnancy. The Acculturation Rating Scale for Mexican Americans–II (ARSMA-II) is one of the most frequently cited instruments for measuring acculturation in Latinos but empirical investigation of the latent factor structure has lagged behind its use. The main purpose of this study is to confirm the latent factor structure of a brief version of the ARSMA-II in a sample ( N = 205) of pregnant Latina adolescents and their male partners. Analyses revealed via confirmatory factor analysis that a 10-item bidimensional structure of this measure produced the best fit for the sample. Furthermore, a path analysis indicated direct effects between each of the latent factors and the health outcomes of substance use and depressive symptomatology. Implications of the results and suggestions for future research are discussed.
تدمد: 1552-6364
0739-9863
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c0ec8d725d7ab70867c7329f8e5e71beTest
https://doi.org/10.1177/0739986317709429Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........c0ec8d725d7ab70867c7329f8e5e71be
قاعدة البيانات: OpenAIRE