Predictor variables are factors or conditions that can help us anticipate or forecast outcomes or events. They are used in statistical or scientific analysis to understand how certain factors can impact or influence a specific result. These variables are significant in predicting or estimating the likelihood of a particular outcome.
Full definition
Further, the definition of adaptation is variable in individual studies with a number
of predictor variables often defined as outcomes of adaptation and vice versa.
That still leaves the standard deviations of individual
predictor variables at different spatial locations varying by a factor of up to 20 within each predictor field.
Of the various types of perceived similarity considered in this study, similarity in attitudes and beliefs was most consistently associated with the
various predictor variables.
To achieve these goals, we applied a group - based trajectory model with predictor variables [14].
ficients in table show that with increasing one unit of standard deviation in conscientious variable as a primary
predictor variable in the size of 0.499 (Beta) the unit of standard deviation increases in criterion variable, that is marital satisfaction.
These unique regression estimates were simultaneously pooled across participants, allowing for estimation of the relationships
between predictor variables and daily mood in the population.
In 2003, Michaels and John Christy were among the coauthors of a «Test for harmful collinearity
among predictor variables used in modeling global temperature.»
With covariates and parenting practices for trajectory group membership, the model allowed us to compute the effect of
predictor variables on the probability of trajectory group membership.
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.
That will result in higher
variance predictor variables tending to be more dominant in the decomposition than lower variance ones, and more highly weighted in the PLS components.
BC17 do
standardize predictor variables, but they divide them by the global model - mean standard deviation for each predictor field, not by their individual standard deviations, at each spatial location of each predictor field.
With increasing one unit of standard deviation in flexibility variable as a
primary predictor variable in the size of 0.154 (Beta), the unit of standard deviation increases in criterion variable that is marital satisfaction.
Let denote outcome h for classroom j in school i. Let denote a vector of
predictor variables such as class size, years of teacher experience, and an average of test scores from a previous year for members of the classroom.
In additional to using prior student achievement as a predictor, the adjusted prediction models included these
additional predictor variables: student and school - level poverty status, student and school - level socio - economic status (SES), student and school - level English language learner (ELL) status, and scores on the New York State English as a Second Language Achievement Test (the NYSESLAT).
Goodess et al. suggest that a more direct, but untested, approach could be to construct conditional damage functions (cdfs), by identifying the statistical relationships between the extreme events themselves (causing damage) and large -
scale predictor variables.
Analyzing numerous classes of variables, DecisionSet ® has
identified predictor variables for win rates, settlement amounts, awards and attorney - litigant decision - making errors.
We thereby analyzed the β coefficients (and Wald statistics, respectively) to assess the unique contribution of each of the
single predictor variables to the prediction of the criterion.
Multiple regression analyses
showing predictor variables at entry to trial (immunological, psychological, and demographic) and investigator rated Karnofsky performance index scores * at follow up
In the current study, the
possible predictor variables were self - compassion, anxious attachment, avoidant attachment and interpersonal problems.
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.
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.
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.