Disclosure of disability in the Australian Public Service: What the statistics tell us

IF 1.4 Q3 PSYCHOLOGY, APPLIED
P. Gray
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引用次数: 2

Abstract

What can large datasets tell us about the propensity of workers to disclose their disability? By comparing two large employee-based datasets from the same underlying population, this study aims to identify patterns of disability disclosure across age, gender, education, and public service classification levels. Data are obtained from the Australian Public Service Employment Database (150,000+ employees), a collection of information of every federal Australian public employee, and the APS State of the Service Employee Census (100,000+ respondents), an anonymous, non-compulsory survey of the same population. People with a disability who have not disclosed to their agency may be captured in the anonymous survey. The two datasets are compared regarding how many individuals have a disability at each variable (i.e. male/female, etc.). The data show that patterns of disclosure do differ across job classification levels and age, but not by gender or education levels.
澳大利亚公共服务中残疾的披露:统计数据告诉我们什么
大数据集能告诉我们,工人倾向于披露自己的残疾吗?通过比较来自相同基础人群的两个大型雇员数据集,本研究旨在确定不同年龄、性别、教育程度和公共服务分类水平的残疾信息披露模式。数据来自澳大利亚公共服务就业数据库(15万多名雇员),该数据库收集了所有澳大利亚联邦公共雇员的信息,以及APS服务雇员普查(10万多名受访者),这是一项对同一人口的匿名、非强制性调查。没有向他们的机构透露的残疾人士可能会在匿名调查中被捕获。这两个数据集比较了每个变量(即男性/女性等)有多少人有残疾。数据显示,信息披露的模式确实因工作分类级别和年龄而异,但不因性别或教育程度而异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
15.40%
发文量
24
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