Measuring Resilience With the RS-14: A Tale of Two Samples
Measuring Resilience With the RS-14: A Tale of Two Samples
复制标题
DOI：
10.1080/00223891.2014.951445
复制
发表时间：
2015-05-04
影响因子：
3.4
通讯作者：
Buchanan, Erin M.
中科院分区：
文献类型：
--
作者：
Aiena, Bethany J.;Baczwaski, Brandy J.;Buchanan, Erin M.
本研究的目的是系统地检验14项弹性量表（RS-14; Wagnild, 2009a）的心理测量特性。采用探索性和验证性因素分析方法，包括按性别和种族/民族分析测量不变性模型。描述性统计、信度和效度数据也进行了计算。分析基于两个样本，一个由2010年墨西哥湾漏油事件后寻求心理健康服务的个人组成（N = 1032），另一个由大学生组成（N = 1765）。对于这两个样本，所有项目加载（>.30）到一个因素上，表明一个单因素模型的内聚结构解释了临床样本中53.2%的方差和本科生样本中67.6%的方差。此外，对测量不变性的检验表明，RS-14的性别和种族/民族结构相似。超出可靠度系数。两个样本和对照组的数据都是90。RS-14与积极概念（如生活意义感知和生活满意度）和心理困扰指数（如抑郁、焦虑、压力和创伤后应激）显著相关，正如预期的那样。这些数据支持RS-14对临床和本科生样本的效用。讨论了这些数据的含义。
The purpose of this study was to systematically examine the psychometric properties of the 14-item Resilience Scale (RS-14; Wagnild, 2009a). Exploratory and confirmatory factor-analytic methods were employed, including an analysis of measurement invariance models by sex and race/ethnicity. Descriptive statistics, reliability, and validity data were also calculated. Analyses were based on 2 samples, one made up of individuals seeking mental health services following the 2010 Gulf oil spill (N = 1,032) and the other made up of university students (N = 1,765). For both samples, all items loaded (>.30) onto 1 factor, indicating cohesive structure for a 1-factor model explaining 53.2% of the variance in the clinical sample and 67.6% of the variance in the undergraduate sample. Further, the examination of measurement invariance indicated that the RS-14 was similarly structured for sex and race/ethnicity. Reliability coefficients exceeded.90 for both samples and also when data were examined by comparison groups. The RS-14 correlated significantly and as expected with measures of positive concepts (such as perceived meaning in life and satisfaction with life) and indexes of psychological distress (such as depression, anxiety, stress, and posttraumatic stress). These data support the utility of the RS-14 with clinical and undergraduate student samples. Implications for these data are discussed.