Sample:
Exploratory Factor Analysis  KMO and Bartlett's Test
Uzorak dijela rada: Exploratory Factor Analysis  KMO and Bartlett's Test
EFA  Exploratory Factor Analysis
1.The KayserMeyerOlkin KMO value should be higher than 0.5%
and the Bartlett spherical value should be significant with a pvalue less than 0,5%
see the file: xxxxxxxxxxxxxxxxOK.xlsx
Black text (with language repairs/correction) in the work, and remove background color.
5. The last stage of exploratory analysis is verify if the correct number of factors extracted is higher than 0.6.
Tests of assumptions.
KMO and Bartlett's Test 

KaiserMeyerOlkin Measure of Sampling Adequacy. 
,749 

Bartlett's Test of Sphericity 
Approx. ChiSquare 
4989,535 
df 
741 

Sig. 
0,000 
Should be significant (less than .05), p<0,001 indicating that the correlation matrix is significantly different from an identity matrix, in which correlations between variables are all zero.
KaiserMeyerOlkin Measure of Sampling Adequacy is 0,749. Should be greater than 0.60 indicating sufficient items for each factor.
2. The commonality for every value should be higher than 0.4% ( Extraction )
These communalities represent the relation between the variable and all other variables (i.e., the squared multiple correlation between the item and all other items).
Communalities 


Initial 
BC1  The more expensive cars are my choice. 
,538 
BC2  The higher the price of a car, the better its quality. 
,897 
BC3  I prefer to buy the bestselling car brands. 
,991 
BC4  The most advertised luxury car brands are my choices. 
,938 
BC5  I am willing to pay higher prices for famous luxury car brands. 
,925 
BC6  I care about wellknown brand names rather than their quality. 
,991 
BC7  I prefer to buy foreign luxury car brands than local brands. 
,845 
MA8  It makes me feel comfortable when I have things that impress people. 
,683 
MA9  I think acquiring luxury cars can be seen as an achievement in life. 
,808 
.....
Extraction Method: Principal Axis Factoring. 
3. The total variance explained for factors have to be greater than 60% (here is 70,117%)
Eigenvalues refer to the variance explained or accounted for.
64,733% of the variance is accounted for by the first ten factors.
Percent of variance for each component before rotation.
Percent of variance for each component after rotation.
Total Variance Explained 

Factor 
Initial Eigenvalues 
Rotation Sums of Squared Loadings 

Total 
% of Variance 
Cumulative % 
Total 
% of Variance 
Cumulative % 

1 
10,776 
27,632 
27,632 
5,018 
12,867 
12,867 
2 
4,830 
12,384 
40,016 
4,808 
12,329 
25,196 
3 
3,521 
9,028 
49,044 
4,520 
11,591 
36,787 
EFA  Exploratory Factor Analysis  Scree Plot  Rotated Factor Matrix