Browsing by Subject "Statistical factor analysis"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Deriving a Measure of Social Recovery Capital From the Important People and Activities Instrument: Construction and Psychometric Properties
    (Oxford University Press, 2022) Francis, Meredith W.; Bourdon, Jessica L.; Chan, Grace; Dick, Danielle M.; Edenberg, Howard J.; Kamarajan, Chella; Kinreich, Sivan; Kramer, John; Kuo, Sally I-Chun; Pandey, Ashwini K.; Pandey, Gayathri; Smith, Rebecca L.; Bucholz, Kathleen K.; McCutcheon, Vivia V.; Psychiatry, School of Medicine
    Aim: This study presents a measure of Social Recovery Capital (SRC) derived from the Important People and Activities instrument (IPA). Methods: The sample comprised young adults who participated in the Collaborative Study on the Genetics of Alcoholism, a high-risk family study of alcohol use disorder (N = 2472). Exploratory and confirmatory factor analysis identified influential items and factor structure, adjusting for family relatedness. The final scale was tested for reliability and validity. Results: Factor analysis retained 10 items loading on three factors (Network Abstinence Behaviors, Basic Network Structure and Network Importance) that together explained 42% of the variance in SRC. The total model showed adequate fit (Comparative Fit Index = 0.95; Tucker Lewis Index = 0.93; Root Mean Square Error of Approximation = 0.06; Standardized Root Mean Squared Residual = 0.05) and acceptable reliability (α = 0.60; McDonald's ω = 0.73) and correlated with validation measures mostly in the weak to moderate range. Due to variable factor scores for reliability and validity, we only recommend using the total score. Conclusion: The SRC-IPA is a novel measure of SRC derived from the IPA that captures social network data and has applications in research and clinical work. Secondary data analyses using the SRC-IPA in studies that collected the IPA can further demonstrate the interaction of SRC with a wide variety of clinical indicators and demographic characteristics, making it a valuable addition to other measures of SRC.