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. 2017 Nov 8;12(11):e0187805. doi: 10.1371/journal.pone.0187805

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.

3 Four persons stated that their data should be excluded [41] and thirteen appeared to be outliers on the main dependent variable subjective health based on outlier analyses via Cook’s [42] distance.