Northern Arizona University, USA.
University of Mississippi, USA.
J Health Psychol. 2021 Sep;26(11):1976-1987. doi: 10.1177/1359105320904769. Epub 2020 Feb 5.
Rasch modeling was used to examine the 25-item Connor-Davidson Resilience Scale within adults ( = 410) in a weight management program. Rasch analysis assessed model-data fit, item difficulty and person's resilience level, an item-person map to evaluate relative distribution items and persons, and rating scale function. Four misfit items were identified and removed. Item difficulty ranged from 1.25 to 1.19 logits (higher logit values indicate more difficult items). Persons' resilience level had wide distribution (resilience = 2.27 ± 1.56 logits). Item difficulty levels did not adequately assess higher resilience levels. An improved inventory that measures a wider range of resilient behaviors would improve measurement quality.
Rasch 模型被用于在一个体重管理项目中对成年人(n=410)的 25 项 Connor-Davidson 韧性量表进行分析。Rasch 分析评估了模型数据拟合度、项目难度和个体韧性水平、一个评估项目和个体相对分布的项目-个体图,以及评分量表功能。确定并删除了 4 个不拟合的项目。项目难度范围从 1.25 到 1.19 对数单位(较高的对数单位值表示项目难度更大)。个体的韧性水平分布广泛(韧性=2.27±1.56 对数单位)。项目难度水平不能充分评估更高的韧性水平。一个能够测量更广泛的韧性行为的改进清单将提高测量质量。