3. a. Which variables load highly on each factor after rotation? b. How would you interpret each factor? C. How much variance is explained by each factor? d. How important is the first variable (Q1) in Factor 2? e . How important are Factors 2 and 3 in the last variable(Q1 1)? SPSS 6.1 for IRIX 6.2 SPSS ID 123456 TITLE FACTOR ANALYSIS EXAMPLE DATA LIST FILE = '/home/ucc/disk002/chike/auto.dat' free /ID Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 S VARIABLE LABELS ID 'RESP #' Q1 'IMPORTANCE OF STYLING' Q2 'IMPORTANCE OF SEAT BELTS' Q4 'IMPORANCE OF ABS BRAKES Q5 'IMPORANCE OF INTEGRATED CHILD SEAT' Q6 'IMPORANCE OF RE-INFORCED DOORS' Q7 'IMPORANCE OF GOOD GAS MILEAGE' Q8 'IMPORANCE OF LOW PRICE Q9 'IMPORANCE OF LOW MAINTENANCE COSTS' Q10 'IMPORANCE OF AIR BAGS' Q11 'IMPORANCE OF SMALL SIZE' FACTOR VARIABLES = Q1 Q2 Q4 Q5 Q6 TO Q11 /ANALYSIS = Q1 Q2 Q4 Q5 Q6 TO Q11 /CRITERIA = FACTORS (3) /EXTRACTION = PC /ROTATION = VARIMAX\fFinal Statistics: VARIMAX converged in 4 iterations. Rotated Factor Matrix: Q1 Q2 Q4 Q5 Q6 Q7 08 Q9 Q10 Q1 1 Factor Transformation Matrix: Factor 1 Factor 2 Factor 1 m03586 .78652 .70055 .83565 .64795 n15372 .34507 n11136 .71362 .2963} Factor 1 .88818 -.44487 Factor 2 .06205 a05134 .13379 .16155 .10588 .85990 .73998 .84822 .19929 .54134 Factor 2 .4591} .84916 Factor 3 .93758 n01496 .17278 m18767 .09902 .30256 a15231 n08977 .21976 .24528 Factor 3 .01850 .28464