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Table 4 Structural equation model estimation results
Estimate | Standard error | z-value | |
|---|---|---|---|
Regressions: | |||
HabitualMode | ~ | ||
Latent variable | −0.123 | 0.051 | −2.408 |
Female | 0.198 | 0.043 | 4.620 |
Age group 36–44 y.o. | −0.196 | 0.048 | −4.129 |
Latent variables: | |||
Latent variable | =~ | ||
Degree Parking Affects | 1 | ||
Degree Good Transport Link Affects | 1.084 | 0.215 | 5.051 |
Degree Congestion Affects | 1.569 | 0.276 | 5.679 |
Degree Travel Distance and Time Affects | 1.768 | 0.311 | 5.683 |
Degree Cost Affects | 0.936 | 0.196 | 4.775 |
Variances: | |||
Degree Parking Affects | 2.119 | 0.142 | |
Degree Good Transport Link Affects | 1.543 | 0.108 | |
Degree Congestion Affects | 1.047 | 0.104 | |
Degree Travel Distance and Time Affects | 1.068 | 0.121 | |
Degree Cost Affects | 1.536 | 0.105 | |
Habitual Mode | 0.209 | 0.013 | |
Latent variable | 0.275 | 0.087 | |
Number of observations | 511 | ||
Log likelihood and information criteria | |||
Log likelihood user model (H0) | −5304.78 | ||
Log likelihood unrestricted model (H1) | −5263.70 | ||
Number of free parameters | 14 | ||
Akaike (AIC) | 10637.56 | ||
Bayesian (BIC) | 10696.87 | ||
Sample-size adjusted Bayesian (BIC) | 10652.43 | ||
SRMR | 0.06 | ||
RMSEA | 0.081 | ||
Comparative Fit Index (CFI) | 0.811 | ||