Table 1. Samples composition and participants demographics of Studies 1, 2 and 3.
Study | Sample size | No. Outliers | Mean Age | SD Age | % female | Work status | Level of education | Recruitment date | Drop-out rate |
---|---|---|---|---|---|---|---|---|---|
1 | 126 | 61 | 57.3 | 5.79 | 66.90% | 27% full-time; 20.6% part-time; 22.2% unemployed; 30.2% retired |
8.7% high school; 6.3% vocational or technical school; 25.2% some college; 35.4% college degree; 15.7% master’s degree; 3.1% professional degree; 3.1% doctoral degree; 2.5% other |
Mar 2013- Jun 2013 |
7.69% |
2 | 145 | 82 | 57.16 | 5.43 | 66.20% | 38.6% full-time; 22.1% part-time; 20.7% unemployed; 18.6% retired |
14.5% high school; 8.3% vocational or technical school; 29.7% some college; 35.9% college degree; 9% master’s degree; 1.4% professional degree; 1.4% doctoral degree |
Nov 2013- Jan 2014 |
6.70% |
3 | 217 | 173 | 56.81 | 5.5 | 59.40% | 58.1% full-time; 19.8% part-time; 22.1% unemployed |
29% high school; 9.2% vocational or technical school; 24.4% some college; 26.7% college degree; 8.8% master’s degree; 0.9% professional degree; 0.5% doctoral degree; 0.5% other |
Jul-16 | 14.46% |
1 Five persons stated that their data should be excluded [41] and one person appeared to be an outlier on the main dependent variable subjective health based on outlier analyses via Cook’s [42] distance (i.e., using the cut-off value of Cook’s distance being larger than four divided by the number of observations).
2 Participants appeared to be outliers on the main dependent variable subjective health based on outlier analyses via Cook’s [42] distance.