Sentences with phrase «following predictor variables»

The Decision Tree Model shows the following predictor variables in infant's development: 1) the duration of an infant's hospitalization in ICU, 2) mother's employment 3) amount of physical contact with infant after childbirth and 4) father's level of involvement in parenting.

Not exact matches

It concluded that negative intermeeting stock market returns are a stronger predictor of subsequent target changes in the Fed funds rate than any commonly followed macroeconomic variable.

Several analyses focused on missing data.36 To explore missing data patterns, we coded loss to follow - up as a binary variable and tested baseline variables as predictors using a stepwise logistic regression.

Pre-later and follow - up are examples of cross-level interactions, 37 wherein the level 2 variable, condition, affects the slope of a level 1 predictor.

We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria of long - term weight change: success versus failure in weight reduction up to the 12 - month follow - up and weight change between the conclusion of treatment and the 12 - month follow - up.

Bivariate Associations Between Predictor Variables and Success Versus Failure in Weight Reduction up to 12 - Month Follow - up

Multiple regression analyses showing predictor variables at entry to trial (immunological, psychological, and demographic) and investigator rated Karnofsky performance index scores * at follow up

The relations between independent predictor variables (measures of immunological and psychological function at entry to the trial, age of onset, and duration of illness) and dependent dichotomous outcome variables (self rated global outcome; presence or absence of caseness on the general health questionnaire at follow up; reduced or normal delayed responses to hypersensitivity skin test) were examined in separate logistic regression analyses.

Across all of the significant predictors, however, families and children displaying fewer problems on the predictor variables at pretreatment had fewer problems at posttreatment and follow - up.

We followed Kraemer et al. (2002) in describing a predictor as a variable that is present at the time intervention started and is associated with a response to treatment, but that does not show a differential response to type of treatment.

The guidelines by Baron and Kenny (1986) were followed, and, in line with Aiken and West (1991), the continuous predictor variables were centered prior to the two - way interaction analysis.

The following criteria are necessary for mediation: (I) the predictor (family functioning) should be significantly associated with the outcome (HbA1c), (II) the predictor should be significantly associated with the mediator (adherence), (III) the mediator should be associated with the outcome variable (with the predictor accounted for), and (IV) lastly, the addition of the mediator to the full model should reduce the relation between the predictor and criterion variable.

To determine which risk and resistance variables independently predicted metabolic control, we entered the statistical control variables followed by self - care behavior and the three significant psychosocial predictors (friend support, drive for thinness by sex, and parent relationship by sex) into a single model to predict metabolic control.

Due to the non-significant associations between child internalizing problems and the parent co-regulation variables, the following hierarchical regression analysis focused on predictors of child externalizing problems.

We entered the significant predictor variable into the equation followed by self - care behavior and the self - care behavior by age interaction.