2018
DOI: 10.1080/19359705.2017.1418696
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Psychological distress among sexual and religious minorities: An examination of power and privilege

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Cited by 38 publications
(30 citation statements)
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References 60 publications
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“…The most influential sociodemographic variable was gender, which is unsurprising given what is known about anxiety rates in general (Burstein, Beesdo‐Baum, He, & Merikangas, 2014). Our results regarding sexual identity aligned with minority stress theory, with sexual minorities experiencing above‐average rates of distress (Lefevor, Park, & Pedersen, 2018; Meyer, 2003). In the remaining variables, although significant differences emerged between groups, the effect sizes of these comparisons were very small (η 2 < .005).…”
Section: Discussionsupporting
confidence: 80%
“…The most influential sociodemographic variable was gender, which is unsurprising given what is known about anxiety rates in general (Burstein, Beesdo‐Baum, He, & Merikangas, 2014). Our results regarding sexual identity aligned with minority stress theory, with sexual minorities experiencing above‐average rates of distress (Lefevor, Park, & Pedersen, 2018; Meyer, 2003). In the remaining variables, although significant differences emerged between groups, the effect sizes of these comparisons were very small (η 2 < .005).…”
Section: Discussionsupporting
confidence: 80%
“…Although interaction effects were not significant, this trend indicates that both gender and racial and/or ethnic identity may be important in understanding initial distress. This finding supports reports of previous research rooted in an intersectionality framework suggesting that there are synergistic effects of oppression among individuals with multiple minority identities (Crenshaw, 1989;Lefevor et al, 2017;Lefevor, Park, & Pedersen, 2018).…”
Section: The Mental Health Of Tgnc People Of Colorsupporting
confidence: 90%
“… Distributions of the outcome by subgroups in the sample could be more reflective of who is represented in the sample. ANOVA based methods ( Fasoli et al, 2018 ; Friedman & Leaper, 2010 ; Greaves et al, 2017 ; Lefevor et al, 2018 ; Manzi et al, 2019 ; Moorman & Harrison, 2016 ; Quandt, 2019 ; Wilson et al, 2017 ) ANOVA methods evaluate whether distributions of a continuous outcome differ between two or more groups. ANCOVA and MANCOVA allow for control of covariates.…”
Section: Resultsmentioning
confidence: 99%