print

Correlational findings

Study Timmermans (1997): study IN 1990

Public:
18+ aged, general public, India, 1990
Sample:
Respondents:
N = 2500
Non Response:
Assessment:
Interview: face-to-face
Structured interview

Correlate

Authors's label
Tolerance
Our Classification
Operationalization
Number of 'no' responses: "Could you please sort out any that you would not like to have as neighbours?" For example: People of different race, Left wing extremists, People who have aids
(14 items). The summed score is divided
into 6 categories....
1    0 - 9
2   10  
3   11
4   12
5   13
6   14

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-HL-u-sq-v-4-a DM = 1       M=2.81      Mt=6.0
2       M=2.92      Mt=6.4
3       M=2.56      Mt=5.2
4       Less than 10 Ss
5       Less than 10 Ss
6       M=3.19      Mt=7.3
O-HL-u-sq-v-4-a DM = + 1       M=3.29      Mt=7.6
2       M=3.31      Mt=7.7
3       M=3.25      Mt=7.5
4       M=3.24      Mt=7.5
5       M=3.31      Mt=7.7
6       M=3.28      Mt=7.6
A-BB-cm-mq-v-2-a DM = + 1       M=1.66      Mt=6.7
2       M=1.66      Mt=6.7
3       M=1.58      Mt=6.6
4       M=1.71      Mt=6.7
5       M=1.57      Mt=6.6
6       M=1.75      Mt=6.7
O-SLW-c-sq-n-10-aa DM = + 1       M=7.54      Mt=7.3
2       M=7.62      Mt=7.4
3       M=7.42      Mt=7.1
4       M=7.38      Mt=7.1
5       M=7.30      Mt=7.0
6       M=7.52      Mt=7.2
O-HL-u-sq-v-4-a DM = + 1       M=3.29      Mt=7.6
2       M=3.31      Mt=7.7
3       M=3.25      Mt=7.5
4       M=3.24      Mt=7.5
5       M=3.31      Mt=7.7
6       M=3.28      Mt=7.6
A-BB-cm-mq-v-2-a DM = + 1       M=2.15      Mt=7.1
2       M=2.13      Mt=7.1
3       M=2.26      Mt=7.3
4       M=2.34      Mt=7.3
5       M=2.36      Mt=7.4
6       M=2.25      Mt=7.3
O-SLW-c-sq-n-10-aa DM = + 1       M=7.60      Mt=7.3
2       M=7.70      Mt=7.4
3       M=7.74      Mt=7.5
4       M=7.77      Mt=7.5
5       M=8.07      Mt=7.9
6       M=7.72      Mt=7.5
A-BB-cm-mq-v-2-a DM = + 1       M=1.66      Mt=6.7
2       M=1.66      Mt=6.7
3       M=1.58      Mt=6.6
4       M=1.71      Mt=6.7
5       M=1.57      Mt=6.6
6       M=1.75      Mt=6.7
O-SLW-c-sq-n-10-aa DM = + 1       M=7.54      Mt=7.3
2       M=7.62      Mt=7.4
3       M=7.42      Mt=7.1
4       M=7.38      Mt=7.1
5       M=7.30      Mt=7.0
6       M=7.52      Mt=7.2
O-HL-u-sq-v-4-a DM = + 1       M=3.27      Mt=7.6
2       M=3.29      Mt=7.6
3       M=3.28      Mt=7.6
4       M=3.26      Mt=7.5
5       M=3.37      Mt=7.9
6       M=3.27      Mt=7.6
A-BB-cm-mq-v-2-a DM = 1       M= .35      Mt=5.3
2       M=-.23      Mt=4.8
3       M= .15      Mt=5.1
4       Less than 10 Ss
5       Less than 10 Ss
6       Less than 10 Ss
O-SLW-c-sq-n-10-aa DM = 1       M=6.21      Mt=5.8
2       M=5.03      Mt=4.5
3       M=7.11      Mt=6.8
4       Less than 10 Ss
5       Less than 10 Ss
6       Less than 10 Ss
A-BB-cm-mq-v-2-a r = +.04 ns O-SLW-c-sq-n-10-aa r = +.03 ns O-SLW-c-sq-n-10-aa r = -.04 p < .05 A-BB-cm-mq-v-2-a r = -.02 ns A-BB-cm-mq-v-2-a r = -.03 ns O-SLW-c-sq-n-10-aa r = +.04 ns O-HL-u-sq-v-4-a r = +.02 ns O-HL-u-sq-v-4-a r = +.03 ns O-HL-u-sq-v-4-a r = -.03 ns O-HL-u-sq-v-4-a r = -.03 ns A-BB-cm-mq-v-2-a r = -.02 ns O-SLW-c-sq-n-10-aa r = -.04 p < .05 O-HL-u-sq-v-4-a tc = +.01 ns A-BB-cm-mq-v-2-a tc = -.01 p < .01 O-SLW-c-sq-n-10-aa tc = +.00 ns A-BB-cm-mq-v-2-a tc = +.02 ns O-SLW-c-sq-n-10-aa tc = +.04 p < .01 O-SLW-c-sq-n-10-aa tc = -.02 ns A-BB-cm-mq-v-2-a tc = -.01 ns O-HL-u-sq-v-4-a tc = +.00 ns O-HL-u-sq-v-4-a tc = -.00 ns A-BB-cm-mq-v-2-a tc = -.01 ns O-SLW-c-sq-n-10-aa tc = -.02 ns O-HL-u-sq-v-4-a tc = -.00 ns O-SLW-c-sq-n-10-aa Beta = -.01 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
O-HL-u-sq-v-4-a Beta = +.01 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data)
O-SLW-c-sq-n-10-aa Beta = +.03 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
A-BB-cm-mq-v-2-a Beta = +.03 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
O-SLW-c-sq-n-10-aa Beta = +.05 p < .05 ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
O-HL-u-sq-v-4-a Beta = +.03 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data)
A-BB-cm-mq-v-2-a Beta = -.03 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
A-BB-cm-mq-v-2-a Beta = -.02 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
O-SLW-c-sq-n-10-aa Beta = -.01 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )
O-HL-u-sq-v-4-a Beta = +.01 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data)
O-HL-u-sq-v-4-a Beta = +.03 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data)
A-BB-cm-mq-v-2-a Beta = -.02 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data )