Citation
A Bayesian Analysis of Mental Health Support in the Tech Industry

Material Information

Title:
A Bayesian Analysis of Mental Health Support in the Tech Industry
Series Title:
Bayesian (MATH 7393)
Creator:
Murphy, Jessica

Subjects

Genre:
Course Material ( sobekcm )

Notes

Acquisition:
Collected for Auraria Institutional Repository by the Self-Submittal tool. Submitted by Jessica Murphy.

Record Information

Source Institution:
Auraria Institutional Repository
Holding Location:
Auraria Library
Rights Management:
All applicable rights reserved by the source institution and holding location.

Auraria Membership

Aggregations:
Auraria Library
Added automatically

Downloads

This item is only available as the following downloads:


Full Text

PAGE 1

A BAYESIAN ANALYSIS OF MENTAL HEALTH SUPPORT IN THE TECH INDUSTRY By: Jessica Murphy MATH 7393

PAGE 2

BACKGROUND Open Sourcing Mental Illness (OSMI) dedicated to raising awareness, educating, and providing resources to support mental wellness in the tech and open source communities

PAGE 3

DATA 2019 OSMI Survey 184 participants (US) 42 questions (current employer) Only looked at 15 you think the tech industry supports employees with mental

PAGE 4

METHODS Ordinal regression: ordered categorical outcome Stepwise selection with AIC Bayesian ordinal regression via Stan Priors: skeptical & noninformative 4 chains of 100,000 iterations Model comparison with LOOIC

PAGE 5

QUESTIONS What is your age? What is your gender? Would you feel comfortable discussing a mental health issue with your direct supervisor(s)? Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace? Overall ~ Age + Gender (other) + Supervisor (yes) + Unsupportive (obs.) + Unsupportive (exp.) other (agender, nonbinary, questioning) yes yes, I have observed / yes, I have experienced

PAGE 6

RESULTS Estimate Credible Interval Age 0.025 [ 0.055, 0.004] 1.4 Gender (other) 1.21 [ 2.43, 0.01] 3.2 Supervisor (yes) 0.93 [0.40, 1.48] 13.0 Unsupportive (obs.) 0.78 [ 1.51, 0.06] 3.7 Unsupportive (exp.) 0.77 [ 1.44, 0.12] 4.8

PAGE 7

POLICY Company wide trainings on mental health issues and the appropriate way to handle them Supervisor requirement to keep disclosed mental illness in confidence

PAGE 8

RESOURCES Kaggle dataset: https://www.kaggle.com/osmihelp/osmi mental health in tech survey 2019 OSMI website: https://osmihelp.org/research