Multiple imputation regression analysis (analysis phase)

TITLE:

section 8.15 data analysis example 2: multiple regression (analysis phase);

DATA:

! listing file containing the imputed data set names;

file = employeeimplist.dat;

! imputation data as input;

type = imputation;

VARIABLE:

! age = employee age;

! tenure = years on the job;

! female = gender (0 = male, 1 = female);

! wbeing = psychological well-being;

! jobsat = job satisfaction

! jobperf = job performance;

! turnover = turnover intentions (0 = no, 1 = yes);

! iq = iq score;

names = age tenure female wbeing jobsat jobperf turnover iq;

! select variables for analysis;

usevariables = wbeing jobsat jobperf;

ANALYSIS:

estimator = ml;

MODEL:

! regress jobperf on wbeing and jobsat;

! (b1) and (b2) are labels used to perform wald test;

jobperf on 

  wbeing (b1) 

  jobsat (b2);  

MODEL TEST:

! wald test that both regression coefficients = 0;

b1 = 0;

b2 = 0;

OUTPUT:

! standardized gives standardized estimates (stdyx solution);

standardized(stdyx);

Questions or suggestions? Email Craig Enders