The fresh new matchmaking anywhere between lives fulfillment and you can intercourse, age, mean bed duration and you will go up big date deviation was basically non-high
a Many years kinds was basically as follows: 19 ages or more youthful = step 1, 20–twenty two ages = dos, 23–25 years = step three, 26–twenty eight age = 4, 29–31 age = 5 and thirty two ages otherwise old = six.
Correlations Ranging from Investigation Variables
Life satisfaction correlated significantly with all sleep variables, except bedtime deviation. Thus, the three first hypotheses were supported, and the fourth, which concerned variability in sleep schedule, was partly supported with only rise time deviation being significantly related to life satisfaction. Life satisfaction had a moderate negative correlation with sleep quality (higher sleep quality score means worse quality; r = –.337, p < .001), and a weak positive correlation with mean sleep duration (r = .128, p = .003). Furthermore, life satisfaction had a weak negative correlation with variability of sleep duration (r = –.212, p < .001) and rise time deviation (r = –.148, p = .001).
There existed some very weak correlations among control variables and sleep variables. Table 2 indicates that being male was associated with having better sleep quality (r = –.087, p = .041), and to sleep less (r = –.153, p < .001). Additionally, being female was associated with higher bedtime deviations (r = –.102, p = .012). Furthermore, older age was associated with shorter mean sleep duration (r = –.142, p = .001) and more regular bedtimes (r = –.115, p = .005). All correlations can be seen in Table 2 .
Relationships Ranging from Bed and you can Lives Fulfillment
Prior to conducting the brand new hierarchical regression analyses, new presumptions of one’s analysis were looked at. An example size of 474 means 5 times the usual required minimum for a model of half dozen predictors ( Occupation, 2013 ). The design try appeared to have linearity, independent residuals and multicollinearity without efficiency recommending people violations of them assumptions.
A diagnostic data of standard residuals revealed that the fresh new residuals had been approximately when you look at the limits out of exactly what might possibly be asked within the an ordinary sample. Nevertheless, several possible outliers have been noticed given that conveyed by Mahalanobis ranges that have been seen to be substantially larger than advised slash-regarding area by Barnett and you will Lewis ( 1994 ), and you will was therefore examined.