J Couns Psychol. 2016 Oct;63(5):593. doi: 10.1037/cou0000166. Epub 2016 Jul 7.
Reports an error in "Reliability Generalization of the Multigroup Ethnic Identity Measure-Revised (MEIM-R)" by Hayley M. Herrington, Timothy B. Smith, Erika Feinauer and Derek Griner (, Advanced Online Publication, Mar 17, 2016, np). The name of author Erika Feinauer was misspelled as Erika Feinhauer. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2016-13160-001.) Individuals' strength of ethnic identity has been linked with multiple positive indicators, including academic achievement and overall psychological well-being. The measure researchers use most often to assess ethnic identity, the Multigroup Ethnic Identity Measure (MEIM), underwent substantial revision in 2007. To inform scholars investigating ethnic identity, we performed a reliability generalization analysis on data from the revised version (MEIM-R) and compared it with data from the original MEIM. Random-effects weighted models evaluated internal consistency coefficients (Cronbach's alpha). Reliability coefficients for the MEIM-R averaged α = .88 across 37 samples, a statistically significant increase over the average of α = .84 for the MEIM across 75 studies. Reliability coefficients for the MEIM-R did not differ across study and participant characteristics such as sample gender and ethnic composition. However, consistently lower reliability coefficients averaging α = .81 were found among participants with low levels of education, suggesting that greater attention to data reliability is warranted when evaluating the ethnic identity of individuals such as middle-school students. Future research will be needed to ascertain whether data with other measures of aspects of personal identity (e.g., racial identity, gender identity) also differ as a function of participant level of education and associated cognitive or maturation processes. (PsycINFO Database Record
报告了 Hayley M. Herrington、Timothy B. Smith、Erika Feinauer 和 Derek Griner（，高级在线发布，2016 年 3 月 17 日，np）的“多群组民族认同测量修订版（MEIM-R）的可靠性概括”中的一个错误。作者 Erika Feinauer 的名字被误拼成 Erika Feinhauer。本文的所有版本都已更正。（原始文章的摘要如下）个体的民族认同强度与多种积极指标相关，包括学业成绩和整体心理健康。研究人员最常用来评估民族认同的测量工具是多群体民族认同测量（MEIM），该测量在 2007 年进行了重大修订。为了为研究民族认同的学者提供信息，我们对修订后的版本（MEIM-R）的数据进行了可靠性概括分析，并将其与原始 MEIM 的数据进行了比较。随机效应加权模型评估了内部一致性系数（Cronbach's alpha）。37 个样本中 MEIM-R 的可靠性系数平均为α=0.88，与 75 项研究中 MEIM 的平均α=0.84相比有统计学意义的提高。MEIM-R 的可靠性系数在研究和参与者特征（如样本性别和民族构成）方面没有差异。然而，在受教育程度较低的参与者中，发现了一致性较低的可靠性系数，平均为α=0.81，这表明在评估中学生等个体的民族认同时，更需要关注数据的可靠性。未来的研究将需要确定其他个人认同方面的测量数据（例如，种族认同、性别认同）是否也因参与者的教育水平以及相关的认知或成熟过程而异。（PsycINFO 数据库记录
