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反应选项的数量如何影响罗森伯格自尊量表的心理测量特性?

How Does the Number of Response Options Impact the Psychometric Properties of the Rosenberg Self-Esteem Scale?

作者信息

Donnellan M Brent, Rakhshani Andrew

机构信息

Michigan State University, East Lansing, USA.

出版信息

Assessment. 2023 Sep;30(6):1737-1749. doi: 10.1177/10731911221119532. Epub 2022 Sep 1.

DOI:10.1177/10731911221119532
PMID:36050908
Abstract

The Rosenberg Self-Esteem Scale is the most frequently used measure of self-esteem in the social sciences. These items are often administered with a different number of response options, but it is unclear how the number of response options impacts the psychometric properties of this measure. Across three experiments (s = 739, 2,358, and 1,461), we evaluated how different response options of the Rosenberg influenced (a) coefficient alpha estimates, (b) distributions of scores, and (c) associations with criterion-related variables. Observed coefficient alpha estimates were lowest for a 2-point format compared with response formats with more options. However, supplemental analyses using ordinal alpha pointed to similar estimates across conditions. Using four or more response options better approximated a normal distribution for observed summary scores. We found no consistent evidence that criterion-related correlations increased with more response options. Collectively, these results suggest that the Rosenberg should be administered with at least four response options and we favor a 5-point Likert-type response format.

摘要

罗森伯格自尊量表是社会科学中最常用的自尊测量工具。这些项目的回答选项数量常常不同,但尚不清楚回答选项的数量如何影响该测量工具的心理测量特性。在三项实验中(样本量分别为739、2358和1461),我们评估了罗森伯格量表不同的回答选项如何影响:(a)阿尔法系数估计值;(b)分数分布;以及(c)与标准相关变量的关联。与有更多选项的回答格式相比,两点格式的观察到的阿尔法系数估计值最低。然而,使用有序阿尔法的补充分析表明不同条件下的估计值相似。使用四个或更多回答选项能更好地使观察到的总分近似正态分布。我们没有找到一致的证据表明与标准相关的相关性会随着更多回答选项而增加。总体而言,这些结果表明罗森伯格量表的回答选项应至少为四个,我们倾向于采用五点李克特式回答格式。

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