Maximum likelihood exploratory factor analysis

TITLE:

section 4.17 data analysis example 4: exploratory factor analysis;

DATA:

file = eatingattitudes.dat;

VARIABLE:

! id = participant id;

! eat1-eat21 = eating attitudes test items;

! bmi = body mass index;

! wsb = western standards of beauty;

! anx = anxiety;

names = id eat1 eat2 eat10 eat11 eat12 eat14 eat24 eat3 eat18 eat21 bmi wsb anx;

! select variables for analysis;

usevariables = eat1 - eat21;

! specify missing value code;

missing = all (-99);

ANALYSIS:

! invoke ml missing data handling (the default);

estimator = ml;

! efa 1 3 extracts 1, 2, and 3 factors;

type =  efa 1 3;

! specify rotation;

rotation = oblimin;

OUTPUT:

! sampstat gives em estimates of summary statistics;

sampstat;

Questions or suggestions? Email Craig Enders