Bivariate association between independent variables.

<p>◊ Cramer's V computed for association between a nominal variable and another variable</p><p>* Gamma statistic computed for association between ordinal variables.</p><p>Bivariate association between independent variables.</p

Results of meditation analyses.

<p>Sample Size Used: 25780</p><p>Simulations: 1000</p><p>ACME = Average Causal Mediation Effects</p><p>ADE = Average Direct Effects.</p><p>Results of meditation analyses.</p

Demographic Characteristics of Respondents.

<p>^a Percentages of subcategories may not add up to 100% due to rounding of figures.</p><p>Demographic Characteristics of Respondents.</p

Results of regression analyses^a.

<p>^a Forward model construction followed this sequence: demographics -> income -> education -> housing -> employment status, with log-likelihood ratio test result being statistically significant at every step for both models (p<0.01).</p><p>Results of regression analyses<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0140040#t003fn001" target="_blank">^a</a>.</p