Washington University in St. Louis, Brown School of Social Work, St. Louis, MO, USA.
Wellbridge Addiction Treatment and Research, Center for Addiction Science, Calverton, NY, USA.
Alcohol Alcohol. 2022 May 10;57(3):322-329. doi: 10.1093/alcalc/agac014.
This study presents a measure of Social Recovery Capital (SRC) derived from the Important People and Activities instrument (IPA).
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.
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.
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.
本研究提出了一种源自重要人物和活动量表（IPA）的社会恢复资本（SRC）测量方法。
该样本包括参加酒精遗传学合作研究的年轻人，这是一项酒精使用障碍的高危家庭研究（N=2472）。探索性和验证性因子分析确定了有影响力的项目和因子结构，并调整了家族相关性。最后对该量表进行了信度和效度检验。
因子分析保留了 10 个项目，这些项目加载在三个因子上（网络戒酒行为、基本网络结构和网络重要性），共同解释了 SRC 的 42%方差。总模型显示出较好的拟合度（比较拟合指数=0.95；塔克-刘易斯指数=0.93；均方根误差近似值=0.06；标准化均方根残差=0.05）和可接受的信度（α=0.60；麦克唐纳 ω=0.73），与验证性测量指标的相关性大多处于弱到中度范围。由于可靠性和有效性的因子得分不同，我们仅建议使用总分。
SRC-IPA 是一种源自 IPA 的新型 SRC 测量方法，它可以捕捉社交网络数据，在研究和临床工作中有应用价值。在收集 IPA 的研究中使用 SRC-IPA 进行二次数据分析，可以进一步展示 SRC 与各种临床指标和人口统计学特征的相互作用，使其成为其他 SRC 测量方法的有益补充。
