Mediation refers to the process by which a predictor variable (e.g., a stressor) influences an outcome variable (e.g., depression). From:Encyclopedia of Adolescence,2011 Also in subject areas: Computer Science
doi:10.1080/00223980.1961.9916482Heilbrun, Alfred B.Goodstein, Leonard D.Journal of PsychologyHEILBRUN, A. B., JR., & GOODSTEIN, L. D. Social desirability response set: Error or predictor vari- able. Journal of Psychology, 1961, 321-329....
Measures of lack of fit for response surface designs and predictor variable transfor- mations. Technometrics 24[1):1.Box, G.E.P. & Draper, N.R. 1982. Measures of lack of fit for response surface designs and predictor variable transformations, Technometrics 24: 1-8....
2, No.3, 575·580 On the predictor variable for choice reaction time* GEORGE E. BRIGGS New Mexico State University, Las Cruces, New Mexico 88003 A survey of published research using the Sternberg task was made for the period 1966 to early 1973. A majority of the data are better ...
Distribution– Description of the marginal or conditional posterior distribution of the parameter, when known Covariances– Estimated covariance matrix of the coefficients and disturbance variance Regime– Variable-inclusion probabilities for models that perform SSVS; low probabilities indicate that the variabl...
predict returns the same predictions as feval by using a single input argument containing all predictor variables, rather than multiple input arguments with one input for each predictor variable. predict also gives confidence intervals on predictions. random predicts responses with added noise. ...
We have to stress at this point that we use here the term “predictor variable” in an statistical sense, where the values of one or more independent orpredictorvariables are used to obtain the value (predict) for a dependent variable (in this case BMI), through a fitted model. Given the...
γk∈{0,1}and it represents the random variable-inclusion regime variable with a discrete uniform distribution. Create a prior model for SSVS. Specify the number of predictors p. Get p = 3; VarNames = ["IPI" "E" "WR"]; PriorMdl = bayeslm(p,'ModelType','mixconjugateblm','Var...
γk∈{0,1}and it represents the random variable-inclusion regime variable with a discrete uniform distribution. Create a prior model for SSVS. Specify the number of predictors p. Get p = 3; VarNames = ["IPI" "E" "WR"]; PriorMdl = bayeslm(p,'ModelType','mixconjugateblm','Var...
Understanding the Variability of Your Data: Dependent Variable Two "Sources" of Variability in DV (Response Variable) –Independent (Predictor/Explanatory) Variable(s) –Extraneous Variables Understanding the Variability of Your Data: Dependent Variable Two Types of Variability in DV –Unsystematic: chang...