D'Eon Marcel F, Trinder Krista
College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Eval Health Prof. 2014 Dec;37(4):457-69. doi: 10.1177/0163278713475868. Epub 2013 Feb 8.
There is compelling empirical evidence in support of the use of grouped self-assessment data to measure program outcomes. However, other credible research has clearly shown that self-assessments are poor predictors of individual achievement such that the validity of self-assessments has been called into question. Based on the reanalysis of two previously published studies and an analysis of two original studies, we show that grouped self-assessments may be good predictors of and hence valid measures of performance at the group level, an outcome commonly used in program evaluation studies. We found statistically significant correlation coefficients (between 0.56 and 0.87), when comparing across performance items using the group means of self-assessments with the group means of individual achievement on criterion tests. We call for further research into the conditions and circumstances in which grouped self-assessments are used, so that they can be employed more effectively and confidently by program evaluators, decision makers, and researchers.
有令人信服的实证证据支持使用分组自我评估数据来衡量项目成果。然而,其他可靠研究清楚地表明,自我评估对个人成就的预测能力较差,以至于自我评估的有效性受到质疑。基于对两项先前发表的研究的重新分析以及对两项原创研究的分析,我们表明分组自我评估可能是群体层面表现的良好预测指标,因此也是项目评估研究中常用的有效衡量指标。当使用自我评估的群体均值与标准测试中个人成就的群体均值对各项表现进行比较时,我们发现了具有统计学意义的相关系数(介于0.56和0.87之间)。我们呼吁对使用分组自我评估的条件和情况进行进一步研究,以便项目评估人员、决策者和研究人员能够更有效、更自信地使用它们。