Study | DeJonge et al. (2009): study NL 2006 |
Title | Living a Happy, Healthy and Satisfying Life. |
Source | Statisics Netherlands, 2009, Netherlands |
URL | HTTP://www.oecd.org/dataoecd/63/3/43705841.pdf |
Public | 12+ aged, The Netherlands, 2006-2009 |
Sample | Probability simple random sample |
Non-Response | |
Respondents N = | 23000 |
Correlate | |
Author's label | Smoking |
Page in Source | 2 |
Our classification | Use of tobacco |
Operationalization | Selfreport O: Does not smoke 1: Smokes |
Observed Relation with Happiness | ||
Happiness Measure | Statistics | Elaboration/Remarks |
O-HP-u-sq-v-5-a | D%=- | % happy: 0: 90.5 1: 85.0 |
O-HP-u-sq-v-5-a | OR=0.5 p < .01 | OR controled for other life-style variables - too little excercise - drinking - overweight After additionally control for: - age OR = 0,6 (01) - self rated health OR = 0,6 (01) |
O-SLL-c-sq-v-5-d | D%=- | 0: 90.3 1: 83.3 |
O-SLL-c-sq-v-5-d | OR=0.5 p < .01 | OR controled for other life-style variables - too little excercise - drinking - overweight After additionally control for: - age OR = 0,5 (01) - self rated health OR = 0,6 (01) |
Code | Full Text |
O-HP-u-sq-v-5-a | Selfreport on single question To what extent do you consider yourself a happy person....? 5 very happy 4 happy 3 neither happy nor unhappy 2 not very happy 1 unhappy |
O-SLL-c-sq-v-5-d | Selfreport on single question: How satisfied are you with the life you currently lead? 5 extraordinary satisfied 4 very satisfied 3 satisfied 2 fairly satisfied 1 not very satisfied |
Symbol | Explanation |
D% | DIFFERENCE in PERCENTAGES Type: descriptive statistic only. Measurement level: Correlate level: dichotomous, but nominal or ordinal theoretically possible as well. Happiness level: dichotomous Range: [-100; +100] Meaning: the difference of the percentages happy people at two correlate levels. |
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. |