2018
DOI: 10.3390/ijerph15112559
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Is More Always Merrier? Intersectionality as an Antecedent of Job Insecurity

Abstract: As modern workplace environments are becoming increasingly diverse, the experiences of disenfranchised employees have become a topic of great interest to scholars and business professionals alike. While the experiences of individuals with singular stigmatized identities have been well-established, a dearth of research has assessed how intersectionality, i.e., holding multiple stigmatized identities, combine and intertwine to shape workplace experiences. We contribute to a growing literature on intersectionalit… Show more

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Cited by 19 publications
(16 citation statements)
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“… There is a potential for systematic bias in sample recruitment and selection These methods do not provide a clear reference group or appropriate comparison group. Sum of marginalized identities ( Lavaysse et al, 2018 ; Remedios & Snyder, 2018 ) This approach collapses multiple social positions into a continuous variable by adding the number of marginalized identities an individual has (larger numbers imply a greater number of marginalized identities). 497–602 4–6 Yes, when combined with other analytic approaches (e.g., regression analysis) that allow for the control of confounders When added to a regression model, the interpretation of this term in a regression model could be a test for whether adding more marginalized identities (i.e., having 5 versus 4 marginalized identities) increases the risk of an outcome.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“… There is a potential for systematic bias in sample recruitment and selection These methods do not provide a clear reference group or appropriate comparison group. Sum of marginalized identities ( Lavaysse et al, 2018 ; Remedios & Snyder, 2018 ) This approach collapses multiple social positions into a continuous variable by adding the number of marginalized identities an individual has (larger numbers imply a greater number of marginalized identities). 497–602 4–6 Yes, when combined with other analytic approaches (e.g., regression analysis) that allow for the control of confounders When added to a regression model, the interpretation of this term in a regression model could be a test for whether adding more marginalized identities (i.e., having 5 versus 4 marginalized identities) increases the risk of an outcome.…”
Section: Resultsmentioning
confidence: 99%
“…Of note, this model is equivalent to the more conventional intersectional model including indicators for race, gender, and their interaction – and can easily be used to estimate the same three parameters; this holds more generally for analyses considering two or more intersectional positions, provided all higher order interactions are included in the model. Another approach used the number of social positions defined to be stigmatized based on context, including race, marital status, gender, sexual minority status, military status, age, religion, and nationality ( Lavaysse et al, 2018 ). Notably, this approach assumes that the effects of all social positions are similar.…”
Section: Resultsmentioning
confidence: 99%
“…Buchanan and Fitzgerald (2008) found a disproportional disadvantage for being both African American and female in documented cases of workplace harassment in the United States (US), which is in line with double jeopardy, and Syed and Pio (2010) found some evidence of double jeopardy in a study with career opportunities of first-generation Asian Muslim women in Australia. Two recent studies also provided some evidence for double jeopardy: Woodhams et al (2015) in a study within a single firm in the UK found that pay decreased sharply along with increases in the number of minority groups employees belonged to, and Lavaysse et al (2018) with a sample from the US workforce found a positive association between number of presumably disadvantaged groups the individual belonged to and perceived job insecurity. On the other hand, Levin et al (2002) supplied some support for ethnic prominence by finding that women with African or Latin American origins in the US did not expect more gender discrimination than their male counterparts, but they expected to be discriminated against because of their ethnicity.…”
Section: Ethnic Prominencementioning
confidence: 99%
“…Relatedly, we know little about what happens when gender interacts with other socially constructed statuses and how those interactions shape different experiences of disadvantage, employment experiences and paths to non-standard, precarious work and economic insecurity ( Lavaysse et al, 2018 ). Socially constructed statuses interact and their intersectionality creates mechanisms of accumulated disadvantage and inequality, making some individuals and groups more vulnerable to economic insecurity compared to others ( Maroto et al, 2019 ; Misra, 2021 ).…”
Section: Background Of the Special Issuementioning
confidence: 99%