1. |
- Kanai, M, et al.
(författare)
-
- 2023
-
swepub:Mat__t
|
|
2. |
- Niemi, MEK, et al.
(författare)
-
- 2021
-
swepub:Mat__t
|
|
3. |
- Schweinsberg, Martin, et al.
(författare)
-
Same data, different conclusions : Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
- 2021
-
Ingår i: Organizational Behavior and Human Decision Processes. - : Elsevier BV. - 0749-5978 .- 1095-9920. ; 165, s. 228-249
-
Tidskriftsartikel (refereegranskat)abstract
- In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists' gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for orga-nizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed.
|
|
4. |
|
|
5. |
- Milner, A, et al.
(författare)
-
Gendered working environments as a determinant of mental health inequalities: a systematic review of 27 studies
- 2021
-
Ingår i: Occupational and environmental medicine. - : BMJ. - 1470-7926 .- 1351-0711. ; 78:3, s. 147-152
-
Tidskriftsartikel (refereegranskat)abstract
- ‘Gendered working environments’ describes the ways in which (1) differential selection into work, (2) variations in employment arrangements and working hours, (3) differences in psychosocial exposures and (4) differential selection out of work may produce varied mental health outcomes for men and women. The aim of this study was to conduct a systematic review to understand gender differences in mental health outcomes in relation to the components of gendered working environments.MethodsThe review followed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) search approach and focused on studies published in 2008–2018. The protocol for the review was prospectively registered with PROSPERO (CRD42019124066).FindingsAcross the 27 cohort studies included in the review, we found that (1) there was inconclusive evidence on the effect of occupational gender composition on the mental health of men and women, (2) women’s mental health was more likely to be affected by long working hours than men’s; however, precarious employment was more likely to be negatively associated with men’s mental health, (3) exposure to traditional constructs of psychosocial job stressors negatively affected the mental health of both women and men, and (4) unemployment and retirement are associated with poorer mental health in both genders.InterpretationThe findings from this review indicate that gendered working environments may affect the mental health of both men and women, but the association is dependent on the specific exposure examined. There is still much to be understood about gendered working environments, and future research into work and health should be considered with a gender lens.
|
|
6. |
|
|
7. |
|
|
8. |
|
|
9. |
|
|