心理学
心理信息
临床心理学
焦虑
验证性因素分析
结构效度
比例(比率)
精神分裂症(面向对象编程)
认知
自闭症谱系障碍
自闭症
发展心理学
心理测量学
精神科
梅德林
结构方程建模
物理
法学
统计
量子力学
数学
政治学
作者
Jinhee Park,Allison R. Fleming,Hung Jen Kuo,Beatrice Lee,Patrick N. Beymer
摘要
This study investigated the psychometric properties of a Multiple Disability Multidimensional Attitudes Scale Toward Persons with Disabilities (MD-MAS), focusing on four types of disabilities: anxiety disorder, autism spectrum disorder (ASD), blindness, and schizophrenia. We developed new vignettes describing the situation of interacting with an individual with each type of disability.We recruited 991 participants from a crowdsourcing data collection tool (i.e., Prolific). Participants were randomly assigned to one of four online surveys depending on the disability type. Five MAS models were selected from the previous literature to conduct confirmatory factor analyses (CFA).CFA supported the German model of MAS with a four-factor structure (i.e., calm, negative affect, positive cognition, behavioral avoidance) as a good fit for the MD-MAS for four disability types. High internal consistency was found for four subscales across the disability types.This study modified the original MAS to assess attitudes toward persons with different types of disabilities. The adequate reliability and fit of the factor structure of the MD-MAS same across the four disability types allow researchers to compare attitudes based on disability types. This will provide significant implications for research and practice in understanding the nature of different attitudes by disability types. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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