Study | Mujcic & Oswald (2016): study AU 2007 |
Title | Evolution of Well-Being and Happiness After Increases in Consumption of Fruit and Vegetables. |
Source | American Journal of Public Health, 2016, Vol 106, 1504 - 1510 |
URL | https://www.ncbi.nlm.nih.gov/pubmed/27400354 |
DOI | doi: 10.2105/AJPH.2016.303260. |
Public | 18+ aged general public, Australia, followed 3 years 2007-2009 |
Sample | Probability multi-stage cluster sample |
Non-Response | |
Respondents N = | 12385 |
Correlate | |
Author's label | Earlier happiness |
Page in Source | table 3 |
Our classification | Past happiness ( 1 to 10 years ago) |
Operationalization | Happiness assessed at T1 (2007) and T2 (2009) |
Observed Relation with Happiness | ||
Happiness Measure | Statistics | Elaboration/Remarks |
O-SLW-u-sq-n-11-d | b-fix=+.49 p < .05 | CI95 [+.47, +.50] |
M-TH-cm-sq-v-6-a | b-fix=+.45 p < .05 | CI95 [+.43, +.47] b-fix controled for: b-fix controled for: - CHANGE daily consumption of fruits and vegetables - CURRENT - socio-demographics - age - income - education - marital status - employment - long-term health condition - number of young children Unaffected by additional control for: - health behavior - BMI |
Code | Full Text |
M-TH-cm-sq-v-6-a | Selfreport on single question: During the past 4 weeks….. Have you been a happy person? 6 all of the time 5 most of the time 4 a good bit of the time 3 some of the time 2 a little of the time 1 none of the time Item MH5 in SF-36 (Medical Outcome Study 36 item Short Form) |
O-SLW-u-sq-n-11-d | Selfreport on single question: All things considered, how satisfied are you with your life? Again, pick a number between 0 and 10 to indicate how satisfied you are. 0 totally dissatisfied 1 2 3 4 5 6 7 8 9 10 totally satisfied |
Symbol | Explanation |
b-fix | REGRESSION COEFICIENT in fixed effects analysis Type: test statistic WDH symbol: b-fix Primary correlate level: metric Secondary correlate level: nonmetric Happiness level: metric Theoretical range: unlimited Meaning: Variant of usual (non-standardized) regression coefficient (b), which controls for the secondary variables, by focusing on differences from a fixed level, such as the mean in a category. Aims to reduce the residual variance and to improve the precision of the regression coefficient. References: Wikipedia: http://en.wikipedia.org/wiki/Fixed_effects_model Non-technical text: http://www.jblumenstock.com/files/courses/econ174/FEModels.pdf |