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.
Multiple regression analyses were used to assess the relation between the same
independent predictor variables and dimensional outcome measures (Karnofsky performance index).
Not exact matches
A common goal for a statistical research project is to investigate causality, and in particular to draw a conclusion on the effect of changes in the values of
predictors or
independent variables on response or dependent
variables.
No other
independent variable is the top - model
predictor for more than one education success measure.
In terms of strength of the relationship between the
independent and dependent
variables, perceived consensus was the strongest
predictor of all three types of global warming views — certainty, causation, and harm / benefit.
Furthermore, it investigated the predictability of dependent
variable (LA) using all
independent and
predictor variables (RO, PWB, and SE).
Each of the
predictor variables; cultural orientation, gender, attachment style, and relationship length made an
independent contribution to each love style and the model significantly predicted each of the love styles, which in turn were unique.
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.
When one tests for the presence of a moderational effect with multiple regression, one examines whether an interaction between two
variables (one
independent variable and a moderator) is a significant
predictor of an outcome
variable, after controlling for the effect of the two
predictors.
To determine whether the significant risk and resistance
predictors of changes in metabolic control were
independent of each other, we conducted a final analysis in which the control
variables were entered along with the four significant psychosocial
predictors (bulimic symptoms, depressive symptoms, depressive symptoms × lag, and friend negative relations × lag).