Sentences with phrase «among predictor variables»

Pearson product - moment correlations were conducted to address the second research question, investigating the associations among all predictor variables and child externalizing and internalizing problems.

Pearson product - moment correlations were calculated to examine the relationships among all predictor variables and child externalizing and internalizing problems.

The bivariate correlations were used to (a) check for multicollinearity among predictor variables and (b) determine whether any error terms needed to be correlated in the final model.

Intercorrelations among predictor variables are summarized in Table I. To control for the influence of the child's age, duration with diabetes, and family structure (single - parent or two - parent family), we entered these variables into the regression equation in step 1, and these variables accounted for 11 % of the variance in metabolic control, F (3, 105) = 4.42, p <.01.

Besides, results of regression analysis indicated that among the predictor variables, only impulsivity can predict the amount of mobile phone use.

In Step 2, we computed zero - order correlations among the predictor variables and between the predictor and criterion variables.

Zero - order correlation analyses were conducted to examine the interrelationships among the predictor variables.

In 2003, Michaels and John Christy were among the coauthors of a «Test for harmful collinearity among predictor variables used in modeling global temperature.»

Not exact matches

«Among all of the variables we analyzed, whether a student attends a public pre-K program is the strongest predictor of whether the student takes the gifted and talented test.

Among all measured variables, pH was the strongest predictor of accretion - erosion.

When all variables were considered, disordered eating at age 24 was a predictor of lower psychological wellbeing among both women and men as well as a lower self - evaluation of health among men ten years later.

Inter-correlations among the intersections between teacher and student outcome variables were also subjected to factor analysis achieved through step-wise regression modeling techniques to determine the most potent predictors of student arts and academic learning outcomes.

Among the five categories of predictor variables, the most important is the first category, the «perceived attributes of innovation».

In spite of significant intercorrelations among some of the predictor variables, none of these correlations approached the level -LRB-.70 or higher) suggestive of significant problems with multicollinearity (Tabachnick & Fidell, 1996, p. 86).

In order to explore and identify the structural and causal relationship among the variables, Structural Equation Modeling (SEM) was performed to examine how the data fits a hypothetical model for romantic inclination and romantic relationship status (love status) as outcomes, involving the selected predictor variables.

In an earlier report of type 2 diabetes (23), we showed that of three groups of variables included in a predictive model (demographics, disease status, and family characteristics), only disease impact and family financial stress were significant, independent contributors to both depressive affect and anxiety among both European - American and Latino patients, with family conflict resolution as a significant predictor only for European - American patients.

The means, standard deviations, and bivariate correlations among the model variables are summarized in Table I. Correlations among the predictors of engagement were modest and do not suggest the presence of multicollinearity.

In this study three different pathways among these variables were assessed simultaneously: (1) cognitive vulnerabilities and stressors as predictors of depressive symptoms (vulnerability model), (2) depressive symptoms and cognitive vulnerabilities as predictors of stressors (stress generation model), and (3) depressive symptoms and stressors as predictors of cognitive vulnerabilities (consequence model).

Intercorrelations among child social skills and predictor variables are presented in Table 2.

Therefore, among the 1,055 possible participants, 1,000 for Cooperation, 997 for Self - Control, and 1,026 for Assertion were available because of missing predictor variables or covariates at 2 years of age.

In a study conducted by Lewin et al. (2006), critical parenting was found to be the strongest predictor, among several predictors comprising a family variable composite, accounting for the largest portion of variance in glycemic control (β =.38 p <.001).

Second, among predictors, child BMI SDS was the only variable that was moderately and significantly associated with both dimensions of child eating behaviors (Food approach (positive association) and Food avoidance (negative association)-RRB-.