Indiana University - Bloomington.
Michigan State University.
J Community Psychol. 2019 Jun;47(5):1064-1077. doi: 10.1002/jcop.22170. Epub 2019 Feb 21.
Attrition, or the progressive loss of individuals from a sample, poses a major problem in fields that carry out research to inform policy and program design. Attrition reduces statistical power by reducing sample size and compromises the external validity of findings by introducing sampling bias. If sampling bias results from disadvantages that act as barriers to research participation, then it promotes social injustice by excluding disadvantaged groups from the study. This study describes strategies used to retain participants in a longitudinal study of experiences of women under community supervision (probation or parole). It uses quantitative methods to examine sampling bias and qualitative methods to elicit accounts of participants' explanations for being hard to reach and their recommendations for retention in future research. For participants who were and who were not retained, there were no statistically significant differences on several common quantitative predictors of retention. Hard-to-reach women identified residential mobility, low income, and busy lifestyles as main reasons research staff had difficulty contacting them and recommended repeated attempts at contact through multiple means. The article ends with recommendations for limiting attrition of disadvantaged, justice-involved women in studies, and for steps to be taken when women are especially difficult to contact.
流失,或个体从样本中逐渐减少,是在进行旨在为政策和项目设计提供信息的研究的领域中面临的一个主要问题。流失通过减少样本量来降低统计能力,并通过引入抽样偏差来损害研究结果的外部有效性。如果抽样偏差是由于作为参与研究障碍的劣势造成的,那么通过将弱势群体排除在研究之外,就会造成社会不公。本研究描述了在对社区监督下(缓刑或假释)的女性经历进行的一项纵向研究中,用于留住参与者的策略。它使用定量方法来检查抽样偏差,并使用定性方法来引出参与者对难以联系到他们的解释,以及他们对未来研究中保留的建议。对于被保留和未被保留的参与者,在几个常见的保留的定量预测因素上没有统计学上显著的差异。难以联系到的女性将居住流动性、低收入和忙碌的生活方式确定为研究人员难以联系到她们的主要原因,并建议通过多种方式多次尝试联系。文章最后提出了一些建议,以限制在研究中处于不利地位的、涉及司法的女性的流失,并提出了在女性特别难以联系时应采取的措施。