Maximum likelihood confirmatory factor analysis with naive bootstrap

TITLE:

section 5.14 data analysis example 3: confirmatory factor analysis with auxiliary variables and naive bootstrap;

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;

usevariables = eat1 - eat21 bmi wsb anx;

missing are all (-99);

ANALYSIS:

estimator = ml;  ! FIML (the default);

bootstrap = 2000 (standard);  ! naive bootstrap

MODEL:

drive@1 foodpre@1;

drive by eat1 - eat24*;

foodpre by eat3 - eat21*;

bmi wsb anx with bmi wsb anx eat1 - eat24; ! auxiliary variable correlations;

OUTPUT:

standardized(stdyx) sampstat;

Questions or suggestions? Email Craig Enders