Multiple imputation regression analysis (analysis phase)

TITLE:

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

DATA:

file = employeeimplist.dat;  ! listing file containing data set names;

type = imputation;  ! imputation data;

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;

usevariables = wbeing jobsat jobperf; 

ANALYSIS:

estimator = ml;

MODEL:

jobperf on 

  wbeing (b1) 

  jobsat (b2);  ! (b1) and (b2) are labels for wald test;  

MODEL TEST:

b1 = 0;  ! wald test that both coefficients = 0;

b2 = 0;

OUTPUT:

standardized(stdyx);

Questions or suggestions? Email Craig Enders