Maximum likelihood descriptives and correlations

TITLE:

section 4.14 data analysis example 1: summary statistics;

DATA:

file = employee.dat;

VARIABLE:

! id = employee id;

! 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 = id age tenure female wbeing jobsat jobperf turnover iq;

! select variables for analysis;

usevariables = age - iq;

! specify missing value code;

missing are all (-99);

ANALYSIS:

! ml missing data handling (the default);

estimator = ml;

MODEL:

! estimate variances;

age - iq;

! estimate covariances;

age - iq with age - iq;

! estimate means;

[age - iq];

OUTPUT:

! standardized gives correlations (stdyx solution);

standardized (stdyx);

Questions or suggestions? Email Craig Enders