| Literature DB >> 32329769 |
Damian Scarf1, Hannah Zimmerman1, Taylor Winter2, Hannah Boden1, Sarah Graham1, Benjamin C Riordan3, John A Hunter1.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32329769 PMCID: PMC7182795 DOI: 10.1001/jamanetworkopen.2020.3423
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Sample Characteristics
| Characteristic | No. (%) | ||
|---|---|---|---|
| Individuals viewing | Individuals viewing | Total (N = 164) | |
| Women | 53 (63.1) | 49 (61.3) | 102 (62.2) |
| Age, mean (SD), y | 30.3 (10.5) | 29.9 (9.8) | 30.1 (10.1) |
| Race/ethnicity | |||
| White | 51 (60.7) | 31 (38.8) | 82 (50.0) |
| Asian | 23 (27.4) | 26 (32.5) | 49 (29.9) |
| Maori or Pacifica | 10 (11.9) | 12 (15.0) | 22 (13.4) |
| Other | 9 (10.7) | 11 (13.8) | 20 (12.2) |
| PPMI scale score, mean (SD) | |||
| Before the movie | 2.99 (0.66) | 2.91 (0.61) | 2.95 (0.63) |
| After the movie | 3.20 (0.78) | 2.88 (0.70) | 3.04 (0.75) |
Abbreviation: PPMI, Prejudice Toward People With Mental Illness.
Score on PPMI in this table was presented as the mean scale response; however, a standardized latent variable was used in regression analysis.
Results of Lagged Bayesian Regression Analysis on Change in Prejudice After Watching Joker
| Covariate | Estimate (95% CI) | PP, % |
|---|---|---|
| Intercept | 0.08 (−0.1 to 0.3) | 83.6 |
| Prejudice, lag | 0.91 (0.8 to 1.0) | 100.0 |
| Age | 0.02 (−0.1 to 0.1) | 74.1 |
| Female sex | 0.00 (−0.2 to 0.2) | 50.2 |
| Mental health history | −0.21 (−0.4 to 0) | 100.0 |
| Viewing | 0.37 (0.2 to 0.6) | 100.0 |
Abbreviation: PP, posterior probability.
Posterior probability is the probability an effect deviates from 0 in its given direction, eg, a coefficient of −0.21 and posterior probability of 100.0% means all posterior samples were less than 0.