The Development and Validation of a Measure of the Experience of Dirty Work

1 online resource (109 pages) : PDF

2022

University of North Carolina at Charlotte

Dirty work is socially constructed as tainted on one or more domains (physical: dangerous, dirty, or associated with death; moral: underhanded or in contradiction to prevailing norms; social: in association with stigmatized others or done in subservience), and it shapes dirty workers’ perceptions and experiences of their identities. The processes through which the perception of taint shapes identities and associated outcomes (e.g., identity ambivalence, isolation) and the effects of the magnitude of dirt are not fully understood. To understand these processes, the present study describes the development of a tool to measure the dirt of dirty work. First, the author developed a series of item to assess the content domain of dirty work based on a literature review supported by open-ended responses describing work perceptions from dirty workers. In the subsequent studies, the author reduced the item pool by a series of exploratory factor analyses (EFA). Then, the author tested the overall model fit across two separate samples via confirmatory factor analysis (CFA) and identified a three-factor model. Finally, the author gathered validity evidence through convergent and discriminatory validity analyses: the pattern of correlations generally provided convergent validity evidence with the respective covariates, and the data tentatively supported the measure’s ability to discriminate among forms of taint by occupation in a one-way MANOVA.

doctoral dissertations

Psychology, Industrial

Ph.D.

Dirty Work
Identity
Measure
Stigma
Validation

Organizational Science

Rogelberg, Steven

Heggestad, Eric
Ruggs, Enrica
Scott, Cliff

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2022.

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Bickmeier_uncc_0694D_13052

http://hdl.handle.net/20.500.13093/etd:2859