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Note. Outcome and continuous covariates were standardized. TABLE 3 Maximum likelihood estimated coefficients of the two-level (random-intercept) hierarchical model for work-family conflict

Table 3 Note. Outcome and continuous covariates were standardized. TABLE 3 Maximum likelihood estimated coefficients of the two-level (random-intercept) hierarchical model for work-family conflict

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TABLE 2 Statistical distribution of variables in the four work-schedule groups
TABLE 2 Statistical distribution of variables in the four work-schedule groups
Note. Descriptive statistics for categorical variables: absolute (relative) frequency and Fisher’s exact test. Descriptive statistics for continuous variables and counts: median (interquartile range) and median test (nonparametric K-sample test on the equality of medians) with significance calculated by Fisher’s exact test.
Note. Descriptive statistics for categorical variables: absolute (relative) frequency and Fisher’s exact test. Descriptive statistics for continuous variables and counts: median (interquartile range) and median test (nonparametric K-sample test on the equality of medians) with significance calculated by Fisher’s exact test.
FIGURE 1 Strength of the associations (estimated by Random Forests) between work-family conflict and study covariates: QuantDem (quantitative demand), WorkSched (work schedule), WeekendsMonths (weekends/month at work), Previdx (OHS prevention index), NoPertTask (performing tasks which do not belong to own profession), NoTimeForTask (lack of time to complete all own work tasks), Child7yrs (no. of children under the age of 7 to take care), FinStatus (financial status), TeamFunc (team function- ality), FamStatus (family status), Age (age groups), AutonPace (I can set my own work pace), HoursWeek (total number of working hours/wk), Wake5am (getting up before 05:00 h), OccPos (occupational pos- ition), ProfSenior (length of the professional role), EducLevel (educational level before nursing school), JobAvail (availability of nurses’ job in your workplace), EmplContr (employment contract), EmplLength (length of employment).
FIGURE 1 Strength of the associations (estimated by Random Forests) between work-family conflict and study covariates: QuantDem (quantitative demand), WorkSched (work schedule), WeekendsMonths (weekends/month at work), Previdx (OHS prevention index), NoPertTask (performing tasks which do not belong to own profession), NoTimeForTask (lack of time to complete all own work tasks), Child7yrs (no. of children under the age of 7 to take care), FinStatus (financial status), TeamFunc (team function- ality), FamStatus (family status), Age (age groups), AutonPace (I can set my own work pace), HoursWeek (total number of working hours/wk), Wake5am (getting up before 05:00 h), OccPos (occupational pos- ition), ProfSenior (length of the professional role), EducLevel (educational level before nursing school), JobAvail (availability of nurses’ job in your workplace), EmplContr (employment contract), EmplLength (length of employment).
FIGURE 2 Nonlinear relationship between work-family conflict and OHS prevention index. All such observations were used to es he multivariate associations existing between work- model describing family conflict and the other varia ing between the prevention index and wor account in the mod able “prevention index >3,” and index, itself. Mode schedules acted as el, considering coefficients are repor an effect modi family conflict and fier in t prevention index (data not reported). imate a two-level hierarchical bles. The nonlinear relationship exist- k-family conflict was taken into the prevention index, the binary vari- its interaction with the prevention ed in Table 3. Type of work he relationship between work- The exploratory analysis of variables using Bayesian Networks
FIGURE 2 Nonlinear relationship between work-family conflict and OHS prevention index. All such observations were used to es he multivariate associations existing between work- model describing family conflict and the other varia ing between the prevention index and wor account in the mod able “prevention index >3,” and index, itself. Mode schedules acted as el, considering coefficients are repor an effect modi family conflict and fier in t prevention index (data not reported). imate a two-level hierarchical bles. The nonlinear relationship exist- k-family conflict was taken into the prevention index, the binary vari- its interaction with the prevention ed in Table 3. Type of work he relationship between work- The exploratory analysis of variables using Bayesian Networks
TABLE 4 OHS prevention items and rotated factor loadings of explorative factor analysis
TABLE 4 OHS prevention items and rotated factor loadings of explorative factor analysis
Related topics:
ChronobiologyIntergroup Conflict (Psychology)Work Family ConflictFamily Conflict
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