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Table 5 Results of approximate scalar invariance model with prior variance of 0.09 for the differences in item intercepts of the Urbanicity Scale from 2000 to 2015

From: Longitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach

Item

ν

Deviations from the average ν

Δ

Average

SD

2000

2004

2006

2009

2011

2015

Communication

6.46

0.06

−1.31*

− 0.45*

− 0.07

0.51*

0.97*

0.36*

35.3%

Population density

6.26

0.09

− 0.13*

−0.03

0.01

0.08*

0.11*

− 0.04

3.8%

Diversity

5.36

0.06

−0.58*

− 0.40*

0.03

0.25*

0.34*

0.36*

17.4%

Economic activity

6.91

0.15

−1.05*

−0.32*

0.13

0.21*

0.55*

0.49*

23.1%

Health structure

5.75

0.10

0.13

−0.12

−0.35*

0.25*

0.12

−0.03

10.4%

Housing

7.66

0.10

−0.94*

−0.46*

− 0.15*

0.36*

0.57*

0.61*

20.2%

Traditional market

5.39

0.15

0.51*

−0.01

−0.12

− 0.15

−0.25*

0.02

14.2%

Social services

3.42

0.10

−1.37*

−0.15

0.00

0.30*

0.52*

0.69*

60.2%

Transportation

5.81

0.10

0.05

0.18

0.11

0.22*

−0.90*

0.33*

21.2%

Education

4.13

0.09

−0.33*

−0.32*

− 0.22*

− 0.19*

0.00

1.07*

34.0%

Modern market

4.89

0.14

0.09

0.15

−0.01

− 0.23*

− 0.16*

0.16*

8.0%

Sanitation

7.19

0.14

−0.51*

− 0.12

0.05

0.18*

0.22*

0.19*

10.2%

  1. * p < 0.05; ν = item intercept; SD standard deviation; Δ = maximum proportional deviation from the average intercept across the 2000–2015 waves. The top two significant deviations from the average intercept are highlighted in bold