Hierarchical regression analyses predicting global math performance, measured three months later, over and above French performance and previous math performance, by the CERS - M.
Hierarchical regression analyses predicting anxiety and problem - solving performance by the CERS - M.
Summary of
hierarchical regression analyses predicting rumors in the fall and spring of 6th grade
Hierarchical regression analysis predicting self - esteem from family function and social support.
Hierarchical regression analysis predicting global severity index (GSI) from familiar and individual variables.
Not exact matches
Hierarchical multiple linear
regression analyses were conducted to test whether the income - to - needs ratio
predicted brain volumes.
RESULTS:
Hierarchical regression analyses revealed that long - term success (at least 5 % weight reduction by the 1 - year follow - up) versus failure (dropping out or less weight reduction) was significantly
predicted by the set of psychosocial variables (family adversity, maternal depression, and attachment insecurity) when we controlled for familial obesity, preintervention overweight, age, and gender of the index child and parental educational level.
Drawing on three waves of data collected from an ethnically diverse sample of middle school girls (n = 912),
hierarchical multiple
regression analyses revealed that more advanced development at the start of middle school
predicted peer - and teacher - reported popularity as well as increased risk of being targeted for rumors.
In total, four stepwise
hierarchical regressions were performed: one
predicting school absences and separate
hierarchical regression analyses for each factor of the SASC - R because results of a multivariate
hierarchical regression analysis were significant, Wilk's lambda, F (3, 62) = 6.24, p <.01.
Hierarchical multiple
regression analyses predicting maternal gatekeeping from mothers» ambivalent sexist attitudes
Pearson correlations were used to examine the association among the study variables and
hierarchical regression analyses were used to
predict body satisfaction at age 16.
Multiple
hierarchical regression analyses showed that a higher level of QOL was
predicted by higher levels of psychological flexibility and social connectedness, while controlling for symptom severity.
A three - step,
hierarchical regression analysis was performed to
predict change in generalized anxiety from cognitive vulnerabilities, sub-dimensions of psychological well - being, and their interaction (as well as T1 generalized anxiety).
Results of a
hierarchical multiple
regression analyses showed that wives» perceptions of husbands» rejection
predicted children's perceptions of maternal rejection, as well as — but to a significantly lesser extent — children's perceptions of paternal rejection.
Summary of
hierarchical regression analyses for children's birth status and children's sustained selective attention performance
predicting children's problem behavior, as reported by mothers and teachers
Hierarchical regression analysis indicated that general and specific attachment style, affect, and appraisals significantly
predict coping strategies.