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.
Not exact matches
Instead, we used the ratings assigned to teachers on a joint (effective teaching and culturally responsive pedagogy) teacher accomplishment
scale to classify teachers into three levels of accomplishment (most, moderately, and least); these levels were used as
predictor variables to explain variations in the instructional practices used by teachers (Table 15).
Predictor and predictand can be the same
variables on different spatial
scales (e.g., Bürger, 1997; Wilks, 1999b; Widmann and Bretherton, 2000), but more commonly are different.
Statistical downscaling is based on relationships linking large -
scale atmospheric
variables from either GCMs or RCMs (
predictors) and local / regional climate
variables (predictands) using observations.
An intent - to - treat analysis was conducted using univariate analysis of covariance for continuous
variables and multivariate analysis of covariance for continuous
variables in which the
predictor variable comprised multiple
scales.
For three other
variables, life stress, difficult child temperament, and parent — child dysfunction as
predictors of the CBCL externalizing
scale, lower levels of pretreatment problems were associated with greater treatment gains.
At first a regression model with the general relationship satisfaction
scale as the criterion and seven
predictors: the Triangular Love sub-scales (Passion, Commitment, Intimacy) a dummy sex
variable (men participants coded 0 as the reference group, and women coded as 1), and the interaction terms between the sex
variable and the love sub-scales.
Parenting stress (total score, child, family and personal domain) and quality of life (four domains) were taken as the dependent
variables, while family functioning scores (General
Scale, Dyadic Relationships Scale and Self - Rating scale total scores) served as predic
Scale, Dyadic Relationships
Scale and Self - Rating scale total scores) served as predic
Scale and Self - Rating
scale total scores) served as predic
scale total scores) served as
predictors.