This content requires Adobe Flash Player version
or later.
Either you do not have Adobe Flash Player installed,
or your version is too old,
or there is a problem with your Flash installation and we were unable to detect it.
In influence 6 (Perceived Value) two factors were extracted in each consumer product. The Pearson correlation coefficients show that a very high correlation exists (>0.980) between all three the influences identified. There is a good fit since PLV01 and PVL03 loads onto factor 2 and PVL02 and PVL04 loads onto factor 1 in toothpaste, coffee and bread. The three products can certainly be treated as a single entity.
The KMO measure yielded factors above .510 falling in the mediocre range signifying that factor analysis should yield distinct and reliable factors. The Bartlett test of sphericity indicates that each set correlates perfectly with itself (r = 1) but has no correlation with the other variables (r = 0). The Cronbach alpha coefficient for all three data sets is below the recommended 0.7 signifying that the data may be unsuitable for subsequent analytical scrutiny.
TABLE 8: FACTOR ANALYSIS AND CORRELATIONAL ANALYSIS FOR COMMITMENT Influence 7
In influence 7 (Commitment), one factor was extracted in each consumer product. Values on the component matrix per question related to each product yielded similar results. The Pearson correlation coefficients show that a very high correlation exists (>0.950) between all three the influences identified. The variance explained is 59%, 58% and 60% for toothpaste, coffee and bread and this signifies strong similarities between the consumer products with regard to commitment. The three products can certainly be treated as a single entity.
The KMO measure yielded factors above .80 falling in the great range signifying that factor analysis should yield distinct and reliable factors. The Bartlett test of sphericity indicates that each set correlates perfectly with itself (r = 1) but has no correlation with the other variables (r = 0). The Cronbach alpha coefficient for all three data sets equals and exceeds .810 and is thus good for subsequent analytical scrutiny.
TABLE 9: FACTOR ANALYSIS AND CORRELATIONAL ANALYSIS FOR REPEAT PURCHASE Influence 8