Table 5.
MIMIC model results.
Model | Estimate | Std. Err. | P-value |
Measurement Modela | Estimate | Std. Err. | P-value |
Third places (civic): | |||
Libraries | 1.00 | ||
Community centers | 0.93 | 0.17 | 0.00 |
Places of worship | 0.73 | 0.19 | 0.00 |
Third places (commercial): | |||
Coffeeshops | 1.00 | ||
Restaurants | 0.89 | 0.13 | 0.00 |
Bars | 0.74 | 0.13 | 0.00 |
Virtual dissatisfaction: | |||
Ignored | 1.00 | ||
Social comparison | 0.90 | 0.06 | 0.00 |
Excessive time | 0.60 | 0.08 | 0.00 |
Outdoors dissatisfaction: | |||
Unwelcome | 1.00 | ||
Unsafe | 0.94 | 0.13 | 0.00 |
Lack of parks | 0.82 | 0.10 | 0.00 |
Weak ties: | |||
People spoken to | 1.00 | ||
Conversation length | 1.00 | 0.07 | 0.00 |
People seen | 0.81 | 0.09 | 0.00 |
Strong ties: | |||
Confirmation | 1.00 | ||
Affection | 0.97 | 0.06 | 0.00 |
Status | 0.94 | 0.07 | 0.00 |
Mental health: | |||
Mental health impact | 1.00 | ||
Structural Modelb,c | Estimate | Std. Err. | P-value |
Third places (civic): | |||
Asian | 0.34 | 0.11 | 0.00 |
Other non-white | 0.31 | 0.12 | 0.01 |
LGBTQ+ | 0.21 | 0.10 | 0.03 |
Third places (commercial): | |||
(Woman & nonbinary) low income | 0.48 | 0.15 | 0.00 |
Missing income | -0.05 | 0.11 | 0.63 |
(Woman & nonbinary) Black | 0.43 | 0.19 | 0.02 |
Virtual dissatisfaction | |||
Woman & nonbinary | 0.27 | 0.09 | 0.00 |
Outdoors dissatisfaction: | |||
Asian | 0.21 | 0.10 | 0.03 |
LGBTQ+ | 0.26 | 0.11 | 0.02 |
Weak ties: | |||
Asian | 0.35 | 0.11 | 0.00 |
Other non-white | 0.43 | 0.15 | 0.00 |
Strong ties: | |||
Black low income | 0.78 | 0.35 | 0.03 |
Missing income | -0.01 | 0.13 | 0.93 |
Mental health: | |||
LGBTQ+ | 0.49 | 0.10 | 0.00 |
Covariances – Latent Variablesd | Estimate | Std. Err. | P-value |
Third places (civic): | |||
Third place (commercial) | 0.21 | 0.06 | 0.00 |
Virtual dissatisfaction | 0.19 | 0.05 | 0.00 |
Outdoors dissatisfaction | 0.02 | 0.05 | 0.70 |
Strong ties | 0.08 | 0.04 | 0.05 |
Weak ties | 0.14 | 0.05 | 0.01 |
Mental health | 0.03 | 0.05 | 0.60 |
Third place (commercial): | |||
Virtual dissatisfaction | 0.18 | 0.05 | 0.00 |
Outdoors dissatisfaction | -0.02 | 0.04 | 0.58 |
Strong ties | 0.01 | 0.05 | 0.86 |
Weak ties | 0.19 | 0.05 | 0.00 |
Mental health | 0.13 | 0.05 | 0.00 |
Virtual dissatisfaction: | |||
Outdoors dissatisfaction | 0.09 | 0.05 | 0.09 |
Strong ties | 0.34 | 0.06 | 0.00 |
Weak ties | 0.10 | 0.06 | 0.06 |
Mental health | 0.31 | 0.05 | 0.00 |
Outdoors dissatisfaction: | |||
Strong ties | 0.10 | 0.05 | 0.05 |
Weak ties | 0.10 | 0.05 | 0.05 |
Mental health | 0.08 | 0.05 | 0.09 |
Strong ties: | |||
Weak ties | -0.01 | 0.05 | 0.79 |
Mental health | 0.20 | 0.06 | 0.00 |
Weak ties: | |||
Mental health | 0.11 | 0.05 | 0.04 |
Fit Statisticse | |||
Number of observations | 308 | ||
Robust Comparative Fit Index (CFI) | 0.949 | ||
Robust Tucker-Lewis Index (TLI) | 0.939 | ||
Robust RMSEA | 0.033 |
Note: ‘Other non-white’ refers to respondents who selected Black, African American, Indigenous, American Indian, Alaska Native, Middle Eastern, Native Hawaiian, Pacific Islander, two or more races, or other. ‘Low income’ refers to respondents who selected a gross annual household income of $50k or less, a reasonable estimate based on data distribution (U.S. Department of Education, January 2022).
The measurement model indicates the relationships between each latent variable (italicized) and its indicators (non-italicized).
The structural model indicates the relationships between latent variables (italicized) and sociodemographic variables (non-italicized).
Missing income data is controlled for in the model by adding a ‘missing income’ dummy control where relevant.
The covariances between all latent variables are shown in the table regardless of statistical significance.
Missing data: Five respondents were removed due to critical missing data on the dependent identity variables.