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Factor Analysis: An Analysis Of Brand Choice Factors

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much influenced by the brand name of the cars. There are too many brands of car which tend to give more choices to the customers to choose from. Brand recognition is the area to which a brand is accepted for stated brand choice factors. The technique used to analyze brand choice factors is factor analysis. It focused on brand choice factors of respondents. Major variables that determine the brand selection are presented for further factor analysis and ANOVA is used in order to analyses the factors For that, first correlation matrix is formed to find the appropriateness of factor model by checking whether such correlated variables exists or not. The 14 variables/factors used (In first row) in the correlation matrix are represented by the …show more content…

Goodwill of brand .217** 1 .305** .213** .281** .230** -.034 .149** .082 .129** .104* .239** .165** .028 New technology .350** .305** 1 .399** .349** .204** .068 .222** .199** .147** .290** .306** .268** .137** After sales service .264** .213** .399** 1 .438** .155** .138** .257** .436** .325** .223** .367** .276** .250** Warranty/guarantee .132** .281** .349** .438** 1 .380** .057 .076 .238** .339** .252** .225** .224** .236** Discounts, offer and gifts .293** .230** .204** .155** .380** 1 .143** .197** .018 .154** .109* .112* .183** .121* Suggestion from relatives and friends .185** -.034 .068 .138** .057 .143** 1 .150** .206** .142** .028 .062 .017 .062 Old experience .218** .149** .222** .257** .076 .197** .150** 1 .267** .094 .170** .269** .251** .070 Resale value .165** .082 .199** .436** .238** .018 .206** .267** 1 .361** .189** .313** .277** .270** Price -.083 .129** .147** .325** .339** .154** .142** .094 .361** 1 .064 .174** .133** .240** Speed/power .102* .104* .290** .223** .252** .109* .028 .170** .189** .064 1 .300** .374** .234** Availability of spare parts .074 .239** .306** .367** .225** .112* .062 .269** .313** .174** .300** 1 .472** .303** Place of service center .182** .165** .268** .276** .224** .183** .017 .251** .277** .133** .374** .472** 1 …show more content…

Overall measure of sampling adequacy was computed and found to be 0.787 which is a good figure Normally ,the measures can be interpreted that if the value is 0.90 or above (above marvelous), 0.8 or above (meritorious), 0.7 or above (above middling), 0.6 or above (mediocre), 0.5 or above (miserable), 0.5 or below (unacceptable). Hence all the assumptions indicated the appropriateness of the data to proceed for factor analysis. Thirdly, the component matrix was applied to extract principal factors through PCA (Principal Component Analysis). Principal component analysis was employed for extracting the factors. (ie. Eigen Value >0.5).

Table 44 Total variance Explained- Brand choice factors
Total Variance Explained
Component Initial Eigen values Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
Marketing influence 3.769 26.925 26.925 3.769 26.925 26.925 2.289 16.352 16.352
Goodwill of brand 1.448 10.344 37.269 1.448 10.344 37.269 2.035 14.536 30.888
New technology 1.262 9.014 46.282 1.262 9.014 46.282 1.814 12.955 43.843
After sales service 1.195 8.537 54.820 1.195 8.537 54.820 1.537 10.977

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