Table 2 Associations with value distinctiveness in multiple regression

From: Worldwide divergence of values

Ā 

b (SE)

t-value

df

p-value

95% CIs

Model 1

Ā Ā Timepoint (C)

0.002 (0.003)

0.67

49.82

0.503

āˆ’0.004, 0.009

Ā Ā Timepoint (L)

0.003 (0.001)

4.92

10517.38

<0.001

0.002, 0.004

Model 2

Ā Ā Timepoint (C)

āˆ’0.003 (0.003)

āˆ’0.76

77.15

0.450

āˆ’0.01, 0.005

Ā Ā Timepoint (L)

āˆ’0.001 (0.001)

āˆ’0.94

415.31

0.347

āˆ’0.003, 0.001

Ā Ā GDP Per Capita

0.08 (0.01)

8.05

600.59

<0.001

0.06, 0.10

Ā Ā Gini

0.03 (0.02)

1.68

223.21

0.094

āˆ’0.005, 0.06

Ā Ā Globalization

0.004 (0.02)

0.23

541.20

0.822

āˆ’0.03, 0.03

Ā Ā Political Rights

āˆ’0.01 (0.01)

āˆ’1.89

2114.83

0.059

āˆ’0.02, 0.0004

Ā Ā Distance from Equator

āˆ’0.01 (0.01)

āˆ’0.91

65.01

0.367

āˆ’0.03, 0.01

  1. Subscript (C) denotes cohort effects (due to changes in the WVS sample composition). Subscript (L) denotes longitudinal effects (due to changes in the countries over time). For all tables reporting inferential analyses in the main text and supplementary materials, statistical tests are two-sided and there are no corrections for multiple comparisons.