The primary aim was to learn their perspectives on the nature and scope of their responsibilities and to identify any apparent similarities and differences in perspectives according to
multiple demographic variables.
Not exact matches
For that reason, different econometric models were implemented on a panel of the 28 member states, during the period 1999 - 2012, including
multiple economic,
demographic and geographical control
variables.
To clarify the nature of these interactions, we ran two additional hierarchical
multiple regression analyses by entering the
demographic / disease severity
variables, followed by daily hassles, the specific social support source of interest (classmate or teacher), and the relevant interaction between hassles and social support (classmate or teacher).
Multiple regression analyses showing predictor
variables at entry to trial (immunological, psychological, and
demographic) and investigator rated Karnofsky performance index scores * at follow up
Expressed criticism and most socio -
demographic variables predicted early dissolutions only, whereas temperamental sociability and child related strains uniquely predicted long term dissolutions in
multiple logistic regressions.
Hierarchical
multiple regression analysis of the total sample revealed that the combination of
demographic variables, parental monitoring, television - viewing habits, and exposure to violence explained 45 % of students» self - reported violent behaviors.
Multiple demographic and clinical
variables were considered as predictors, and only some measures of parent broad autism traits were associated with informant agreement.
For this reason, the sample was analyzed as a whole (rather than separating mothers and fathers or boys and girls), but gender was retained as a predictor with the block of
demographic variables in the
multiple regressions.
Preliminary analyses were conducted to test for relations between
demographic variables and study
variables (HbA1c, adherence, and family functioning) for purposes of control in subsequent hierarchical
multiple regression.
Loneliness was found to be a correlate of depressive symptoms at the cross-sectional level, independent of gender, other
demographic factors,
multiple psychosocial
variables, and social desirability.