*bez rotace DATASET ACTIVATE DataSet2. FACTOR /VARIABLES q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /MISSING LISTWISE /ANALYSIS q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /PRINT INITIAL CORRELATION KMO EXTRACTION /FORMAT SORT BLANK(.3) /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION. *varimax FACTOR /VARIABLES q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /MISSING LISTWISE /ANALYSIS q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /PRINT INITIAL CORRELATION KMO EXTRACTION ROTATION /FORMAT SORT BLANK(.3) /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION. *oblimin FACTOR /VARIABLES q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /MISSING LISTWISE /ANALYSIS q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /PRINT INITIAL CORRELATION KMO EXTRACTION ROTATION /FORMAT SORT BLANK(.3) /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) DELTA(0) /ROTATION OBLIMIN /METHOD=CORRELATION. *prave 4 faktory - na zaklade teorie a za ucelem jednoducheho reseni FACTOR /VARIABLES q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /MISSING LISTWISE /ANALYSIS q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /PRINT INITIAL CORRELATION KMO EXTRACTION ROTATION /FORMAT SORT BLANK(.3) /PLOT EIGEN /CRITERIA FACTORS(4) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION. *ulozen� t�ech faktor� jako prom�nn�ch v datech FACTOR /VARIABLES q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /MISSING LISTWISE /ANALYSIS q2_1 q2_2 q2_3 q2_4 q2_5 q2_6 q2_7 q2_8 q2_9 /PRINT INITIAL CORRELATION KMO EXTRACTION ROTATION /FORMAT SORT BLANK(.3) /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(100) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /SAVE REG(ALL) /METHOD=CORRELATION. DATASET ACTIVATE DataSet1. COMPUTE F1social=(q2_6+q2_7+q2_9)/3. EXECUTE. DATASET ACTIVATE DataSet1. COMPUTE F2extrinsic=(q2_2+q2_3)/2. EXECUTE. DATASET ACTIVATE DataSet1. COMPUTE F3flexi=(q2_5+q2_8)/2. EXECUTE. DATASET ACTIVATE DataSet1. COMPUTE F4altruistic=(q2_6+q2_7)/2. EXECUTE. RELIABILITY /VARIABLES=q2_6 q2_7 q2_9 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. RELIABILITY /VARIABLES=q2_2 q2_3 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. RELIABILITY /VARIABLES=q2_5 q2_8 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL. MEANS TABLES=F2extrinsic F3flexi F4altruistic BY gen /CELLS=MEAN COUNT STDDEV. T-TEST GROUPS=gen(1 2) /MISSING=ANALYSIS /VARIABLES=F2extrinsic F3flexi F4altruistic /CRITERIA=CI(.95).