| Study | Breslin et al. (2013): study GB 2009 |
| Title | Socio-Demographic and Behavioural Differences ans Associations with Happiness for Those Who Are in Good and Poor Health. |
| Source | International Journal of Happiness and Development, 2013, Vol. 1, 142 - 154 |
| URL | https://doi.org/10.1504/IJHD.2013.055641 |
| Public | 16+ aged general public Northern Ireland, 2009 |
| Sample | Probability multi-stage random |
| Non-Response | 45,4% |
| Respondents N = | 4663 |
| Correlate | |
| Author's label | Access to a car |
| Our classification | Car |
| Operationalization | Selfreport on single question; Over the ladst 12 month would you say your health has been 5 very good 4 good 3 average 2 poor 1 very poor Dichotomized 1 (5+4), 0 (3+2+1) |
| Observed distribution | Good health 60%, poor health 40% |
| Remarks | Order reversed by WDH team |
| Observed Relation with Happiness | ||
| Happiness Measure | Statistics | Elaboration/Remarks |
| O-HL-u-sq-n-10-h | OR=1.25 p < .05 | Access to a car/all respondents CI95[1.05-1.75] OR for respondents with poor health 1.41 CI95[1.13-1.71] OR's controled for: - age - social class Happiness dichotomized: <7 vs 7 or more |
| Code | Full Text |
| O-HL-u-sq-n-10-h | Self report on single question: In general, how happy would you say you are? 10 9 8 7 6 5 4 3 2 1 Labels of scale ends not reported 1. Least happy score 2 3 - - 10. Most happy score |
| Symbol | Explanation |
| OR | OR: Odds ratio in binary logistic regression. Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0. OR < 1 indicates that the odds of being happy-to-being unhappy decreases by a factor OR when 1) the corresponding metric correlate increases by one unit 2) the corresponding category of a categorical correlate is compared to the reference category. OR > 1 indicates an increase by a factor OR for both the above cases. |