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Table 3 Results of Two-Level Random Intercept Model with Health Factors Predicting Mask Wearing

From: Demographics, politics, and health factors predict mask wearing during the COVID-19 pandemic: a cross-sectional study

Variable

Unconditional Model

Full Model

Fixed Effects

 Intercept

.747*** (.016)

.676*** (.049)

 Health behaviors

 

.120*** (.022)

 Clinical care

 

.042 (.025)

 Social and economic factors

 

.023 (.014)

 Physical environment

 

−.230*** (.047)

Covariates

 65-plus

 

.001 (.003)

 Female

 

−.004 (.002)

 White

 

.008* (.004)

 Rural

 

−.005 (.003)

Democrat

 

.051*** (.003)

Variance components

 Level 1 – County-level (σ2)

.008*** (.000)

.006*** (.000)

 Level 2 – State-level (τ00)

.012*** (.002)

.006*** (.001)

AIC

− 6046.07

− 5434.13

BIC

− 6033.97

− 5422.50

  1. Notes. *p < .05. **p < .01. ***p < .001. Standard errors presented in parentheses