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Correlational findings

Study Timmermans (1997): study IE 1990

Public
18+ aged, general public, Ireland, 1990
Sample
Respondents
N = 1000
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=3.37      Mt=7.9
2       M=3.41      Mt=8.0
3       M=3.39      Mt=8.0
4       M=3.31      Mt=7.7
5       M=3.34      Mt=7.8
6       M=3.33      Mt=7.8 O-SLW-c-sq-n-10-a DM = + 1       M=7.97      Mt=7.7
2       M=7.93      Mt=7.7
3       M=7.77      Mt=7.5
4       M=7.70      Mt=7.4
5       M=7.78      Mt=7.5
6       M=8.09      Mt=7.9 A-BB-cm-mq-v-2-a DM = + 1       M=1.97      Mt=7.0
2       M=2.22      Mt=7.2
3       M=1.88      Mt=6.9
4       M=2.03      Mt=7.0
5       M=1.77      Mt=6.8
6       M=2.20      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 O-SLW-c-sq-n-10-a 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 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-HL-u-sq-v-4-a DM = + 1       M=3.37      Mt=7.9
2       M=3.41      Mt=8.0
3       M=3.39      Mt=8.0
4       M=3.31      Mt=7.7
5       M=3.34      Mt=7.8
6       M=3.33      Mt=7.8 O-SLW-c-sq-n-10-a DM = + 1       M=7.97      Mt=7.7
2       M=7.93      Mt=7.7
3       M=7.77      Mt=7.5
4       M=7.70      Mt=7.4
5       M=7.78      Mt=7.5
6       M=8.09      Mt=7.9 A-BB-cm-mq-v-2-a DM = + 1       M=1.97      Mt=7.0
2       M=2.22      Mt=7.2
3       M=1.88      Mt=6.9
4       M=2.03      Mt=7.0
5       M=1.77      Mt=6.8
6       M=2.20      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 O-SLW-c-sq-n-10-a 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 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-HL-u-sq-v-4-a r = +.00 ns O-SLW-c-sq-n-10-a r = -.02 ns A-BB-cm-mq-v-2-a r = +.05 ns O-HL-u-sq-v-4-a r = -.03 ns O-SLW-c-sq-n-10-a r = -.04 p < .05 A-BB-cm-mq-v-2-a r = -.02 ns O-HL-u-sq-v-4-a r = +.00 ns O-SLW-c-sq-n-10-a r = -.02 ns A-BB-cm-mq-v-2-a r = +.05 ns O-HL-u-sq-v-4-a r = -.03 ns O-SLW-c-sq-n-10-a r = -.04 p < .05 A-BB-cm-mq-v-2-a r = -.02 ns O-HL-u-sq-v-4-a tc = -.01 ns O-SLW-c-sq-n-10-a tc = -.01 ns A-BB-cm-mq-v-2-a tc = +.01 ns O-HL-u-sq-v-4-a tc = -.00 ns O-SLW-c-sq-n-10-a tc = -.02 ns A-BB-cm-mq-v-2-a tc = -.01 ns O-HL-u-sq-v-4-a tc = -.01 ns O-SLW-c-sq-n-10-a tc = -.01 ns A-BB-cm-mq-v-2-a tc = +.01 ns O-HL-u-sq-v-4-a tc = -.00 ns O-SLW-c-sq-n-10-a tc = -.02 ns A-BB-cm-mq-v-2-a tc = -.01 ns O-HL-u-sq-v-4-a Beta = -.06 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data) O-SLW-c-sq-n-10-a Beta = -.01 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-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-a Beta = -.01 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-HL-u-sq-v-4-a Beta = -.06 ns ß controlled for sex, age, and household income
( r and ß computed on uncategorized data) O-SLW-c-sq-n-10-a Beta = -.01 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-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-a Beta = -.01 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 )