Exploratory Factor Analysis of the Strength of the Cultural Affiliation Scale

Abstract

Background Within the United States there are individuals who retain traditions and beliefs of cultural groups that vary from the general majority population. Both health care providers and researchers have reported that many individuals who live in but are less affiliated with the dominant culture tend to have less positive health outcomes. Objective The purpose of this study was to use factor analysis to assess the psychometric properties of Mood's 18-item Strength of Cultural Affiliation Scale (SCAS). Methods The SCAS was administered to 604 participants from a randomized clinical trial of cancer patients who were treated with radiotherapy at a large central city hospital located in the Midwest. Results Confirmatory Factor Analyses using Principal Component Analysis with Oblimin Rotation indicated a 16-item, 4 factor final solution with the following subscales: Factor 1= Lifestyle (7 items), Factor 2= Language and Cultural Specific Holidays (3 items), Factor 3= Relationships (4 items), and Factor 4= Cultural Health Practices (2 items). Conclusion The SCAS demonstrated high reliability, content, construct, discriminant, convergent, divergent and predictive validity. Implications for Practice The SCAS appears to be a reliable and valid tool for practitioners to use to assess a patient's strength of cultural affiliation to provide the best culturally-sensitive care possible for the patient.

Translation, cultural adaptation and validation of the Chinese Multimorbidity Treatment Burden Questionnaire(C-MTBQ): a study of older hospital patients

“…The global C-MTBQ scores were skewed and varied from 2 to 60. None of participants had a global C-MTBQ score of 0, and no treatment burden(0), low treatment burden(< 10), medium treatment burden (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22) and high treatment burden (≥22) accounted for 0, 14.7, 39.7 and 45.5%, respectively. The median C-MTBQ total score was 20.8 (interquartile range 12.5-29.2).…”

“…The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy(0.776) and the Bartlett test of sphericity (p < 0.001) showed that factor analysis of the data was appropriate [21,22]. The scree plot is shown in Fig.…”