Ford KAcase
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Transcript of Ford KAcase
1. What is your opinion of Ford’s strategy (up to and including the development of the Ka) in the small car market
in France?
i) Ford made its presence in small segment car (less than 390 cms) with its Ford Fiesta model which was
one of the top 5 selling cars in small segment in France and top 3 in Europe.
ii) With market getting highly segment and competitors’ move to come up with models as per
requirement of highly fragment segment made Ford to decide to come up with new model to target
emerging segment Trend-B market.
iii) Renault was the first to move to target this emerging segment with Twingo model, which took every
one with surprise and it was well accepted by the segment. They offered more forcing competitors to
offer more than basic transportation. To respond to this competition Ford decided to come with Ford-
Ka model to compete in the same segment as Twingo
iv) In response to develop the car quickly with low turn over time and development cost, Ford decided to
manufacture Ka with the chassis of old Fiesta model, which proved economical but hindered the
technical innovation.
v) Twingo had changed perception of people to what to expect from a small car, so Ford even though
challenged to be a spacious car, it was not perceived by consumers, according to whom Ka was just
spacious in look from exteriors but not interiors.
vi) Ford’s Ka could not communicate strongly the message to the target consumer. Consumers were
confused with the positioning of the car. Due to lack of strong communication message it lead to a
distorted perception of Ford Ka’s image in consumers’ mind.
vii) Ford also went back to sell older version of Fiesta in the segment of small cars when it could not catch
up with the increasing demands of highly fragmented consumer base and with competition catching up
competitors were providing more for value of money of consumer. Ford was a bit late to react to this
and hence lacked to capitalize in the segmented market.
viii) From the case it is relevant ford was never firm with decision, they were always in Yes-No situation,
which cost them a lot as they were never made firm move to capitalize the segment market. This set of
approach also led ford to make hasty and wrong decisions.
2. What were some of the major car-buying dimensions that emerged from the psychographics study? The
data are provided in the Ford Ka Psychographics file posted on TLE. Perform a factor analysis on the
answers to Questions 2, 10, 5, 12, 39, 40, 46, 48, 54, 57, and 58 and interpret the results. Include labels for
the factors that emerge.
After performing factor analysis on the given set of questions we analyzed that 76% of the
psychographics data is covered by top 4 components. After analyzing the four factors, the following
conclusions can be made
o The first factor can be categorized as ‘fashion/trendy’. It shows that design, image and looks
of the car are important.
o The second factor can be categorized as ‘Compact/Size’. It depicts that size of the car is one
of the important factor.
o The third factor can be categorized as ‘Individualistic/Character’. It shows that car is taken
as symbol of character to depict independence/freedom.
o The fourth factor can be classified as ‘Economic/Reliability’. It shows economic car which is
reliable plays an important role in factoring the given data.
After performing rotation factor analysis the results were very similar showing same trend.
3. Based on the psychographics data, are there distinct attitudinal segments? Perform a cluster analysis on
the attitudinal response data (Questions 1 through 62 in the data file) and interpret the results. Limit your
analysis to solutions with four clusters. Provide your own names and brief descriptions for any clusters that
emerge.
After running cluster analysis with 4 clusters we can see in the result there are definitely distinct attitudinal
segments according to the response provide.
Distances between Final Cluster Centers
Cluster 1 2 3 4
1 15.622 11.484 12.731
2 15.622 17.940 15.402
3 11.484 17.940 13.759
4 12.731 15.402 13.759
From above table it is clear that the distance between cluster 2 and 3 is large and hence these are two
distinct attitudinal segments. Similarly the distance between cluster 1 and 2; 2 and 4 is large and fall in
distinct attitudinal segments.
Also seeing the result it can be seen that the option ‘I buy must be able to handle long motorway journeys’
is most unique as it has largest F-vale of 676.809
Few of the cluster that come outstanding are
o People want reliable and economic car they want value for money (Cluster 1) – Value for money
customers
o People want fashionable, trendy, latest car design (Cluster 2) – Hi earners (who wants to buy car
probably as a mode to show off they don’t care much about price)
4. What are the implications of these results for marketing the Ford Ka? From the factor analysis and cluster analysis performed on the given data it is clear that, each cluster or
segment has different needs and the factors are also different. So management of Ford has to decide
which segment needs it wants to cater using Ford Ka model. Since the model of Ka is already ready,
management can also map the model specifications with the segmented market cluster available using
cluster analysis.
Once the segments need is decided and analyzed, marketing efforts should be developed to target the
selected market segment by making a clear precise positioning statement. So that Ford Ka is rightly
perceived by the targeted marketed segment.
Factor analysis can be analyzed to understand the important factors on which purchase intentions of
the consumers can be predicted.
Along with this Ford should also understand and analyze recent moves of customer and try to
differentiate it product from customer in this highly segment market to catch up with market and hold
maximum market share. This can be said because Ford Ka was initially perceived as car similar to
Renualt’s Twingo with less interior space. So fight for market share in this segmented market Ford has
to differentiate its product from competitors while keeping factors affecting purchase intention of
consumer obtained from factor analysis.
SPSS Outputs
FACTOR /VARIABLES q2 q10 q5 q12 q39 q40 q46 q48 q54 q57 q58 /MISSING LISTWISE /ANALYSIS q2 q10 q5 q12 q39 q40 q46 q48 q54 q57 q58 /PRINT INITIAL EXTRACTION /FORMAT SORT BLANK(0.5) /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created 26-Sep-2010 21:08:32
Comments
Input Data
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 250
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined
missing values are treated as missing.
Cases Used LISTWISE: Statistics are based on cases
with no missing values for any variable
used.
Syntax FACTOR
/VARIABLES q2 q10 q5 q12 q39 q40 q46
q48 q54 q57 q58
/MISSING LISTWISE
/ANALYSIS q2 q10 q5 q12 q39 q40 q46
q48 q54 q57 q58
/PRINT INITIAL EXTRACTION
/FORMAT SORT BLANK(0.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/ROTATION NOROTATE
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.109
Elapsed Time 00:00:00.058
Maximum Memory Required 16004 (15.629K) bytes
Communalities
Initial Extraction
I am fashion-conscious. 1.000 .825
My car must function with total reliability. 1.000 .582
Small cars are not prestigious. 1.000 .784
I want a car tha is fuel economic. 1.000 .602
Small cars take up less room in today's traffic. 1.000 .677
I prefer small cars. 1.000 .613
I always want the latest style and design in a vehicle. 1.000 .767
My car must have a very individual interior. 1.000 .753
Image is not important to me in a car. 1.000 .730
I want a car that has character. 1.000 .660
For me a car is a symbol of freedom and
independence.1.000 .712
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compon
ent
Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.162 28.742 28.742 3.162 28.742 28.742
2 2.020 18.362 47.104 2.020 18.362 47.104
3 1.348 12.257 59.362 1.348 12.257 59.362
4 1.174 10.677 70.039 1.174 10.677 70.039
5 .825 7.498 77.537
6 .654 5.949 83.486
7 .534 4.856 88.342
8 .417 3.787 92.130
9 .355 3.227 95.356
10 .290 2.637 97.993
11 .221 2.007 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component
1 2 3 4
I always want the latest style and design in a vehicle. .868
My car must have a very individual interior. .860
Image is not important to me in a car. -.835
I am fashion-conscious. .828
Small cars are not prestigious. -.796
Small cars take up less room in today's traffic. .749
I prefer small cars. .705
For me a car is a symbol of freedom and
independence..757
I want a car that has character. .648
I want a car tha is fuel economic. .714
My car must function with total reliability. .709
Extraction Method: Principal Component Analysis.
a. 4 components extracted.FACTOR /VARIABLES q2 q10 q5 q12 q39 q40 q46 q48 q54 q57 q58
/MISSING LISTWISE /ANALYSIS q2 q10 q5 q12 q39 q40 q46 q48 q54 q57 q58 /PRINT INITIAL EXTRACTION ROTATION /FORMAT SORT BLANK(0.5) /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX
/METHOD=CORRELATION.
Factor Analysis
Notes
Output Created 26-Sep-2010 21:29:39
Comments
Input Data
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 250
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined
missing values are treated as missing.
Cases Used LISTWISE: Statistics are based on cases
with no missing values for any variable
used.
Syntax FACTOR
/VARIABLES q2 q10 q5 q12 q39 q40 q46
q48 q54 q57 q58
/MISSING LISTWISE
/ANALYSIS q2 q10 q5 q12 q39 q40 q46
q48 q54 q57 q58
/PRINT INITIAL EXTRACTION
ROTATION
/FORMAT SORT BLANK(0.5)
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Resources Processor Time 00:00:00.203
Elapsed Time 00:00:00.111
Maximum Memory Required 16004 (15.629K) bytes
Communalities
Initial Extraction
I am fashion-conscious. 1.000 .825
My car must function with total
reliability.1.000 .582
Small cars are not prestigious. 1.000 .784
I want a car tha is fuel
economic.1.000 .602
Small cars take up less room in
today's traffic.1.000 .677
I prefer small cars. 1.000 .613
I always want the latest style
and design in a vehicle.1.000 .767
My car must have a very
individual interior.1.000 .753
Image is not important to me in
a car.1.000 .730
I want a car that has character. 1.000 .660
For me a car is a symbol of
freedom and independence.1.000 .712
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compon
ent
Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance
1 3.162 28.742 28.742 3.162 28.742 28.742 3.079
2 2.020 18.362 47.104 2.020 18.362 47.104 2.006
3 1.348 12.257 59.362 1.348 12.257 59.362 1.425
4 1.174 10.677 70.039 1.174 10.677 70.039 1.195
5 .825 7.498 77.537
6 .654 5.949 83.486
7 .534 4.856 88.342
8 .417 3.787 92.130
9 .355 3.227 95.356
10 .290 2.637 97.993
11 .221 2.007 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component
1 2 3 4
I always want the latest style
and design in a vehicle..868
My car must have a very
individual interior..860
Image is not important to me in
a car.-.835
I am fashion-conscious. .828
Small cars are not prestigious. -.796
Small cars take up less room in
today's traffic..749
I prefer small cars. .705
For me a car is a symbol of
freedom and independence..757
I want a car that has character. .648
I want a car tha is fuel
economic..714
My car must function with total
reliability..709
Extraction Method: Principal Component Analysis.
a. 4 components extracted.
Rotated Component Matrixa
Component
1 2 3 4
I am fashion-conscious. .891
I always want the latest style
and design in a vehicle..858
Image is not important to me in
a car.-.838
My car must have a very
individual interior..825
Small cars are not prestigious. -.842
Small cars take up less room in
today's traffic..777
I prefer small cars. .758
For me a car is a symbol of
freedom and independence..837
I want a car that has character. .799
I want a car tha is fuel
economic..770
My car must function with total
reliability..756
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 5 iterations.
Component Transformation Matrix
Compon
ent 1 2 3 4
1 .973 .199 -.118 .023
2 -.153 .935 .319 .002
3 .172 -.273 .885 -.336
4 .037 -.104 .318 .942
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
QUICK CLUSTER respnum q1 q2 q3 q4 q5 q6 q7 q8 q9 q10 q11 q12 q13 q14 q15 q16 q17 q18 q19 q20 q21 q22 q23 q24 q25 q26 q27 q28 q29 q30 q31 q32 q33 q34 q35 q36 q37 q38 q39 q40 q41 q42 q43 q44 q45 q46 q47 q48 q49 q50 q51 q52 q53 q54 q55 q56 q57 q58 q59 q60 q61 q62 /MISSING=LISTWISE /CRITERIA=CLUSTER(4) MXITER(20) CONVERGE(0) /METHOD=KMEANS(NOUPDATE) /SAVE CLUSTER
/PRINT INITIAL ANOVA CLUSTER DISTAN.
QUICK CLUSTER q1 q2 q3 q4 q5 q6 q7 q8 q9 q10 q11 q12 q13 q14 q15 q16 q17 q18 q19 q20 q21 q22 q23 q24 q25 q26 q27 q28 q29 q30 q31 q32 q33 q34 q35 q36 q37 q38 q39 q40 q41 q42 q43 q44 q45 q46 q47 q48 q49 q50 q51 q52 q53 q54 q55 q56 q57 q58 q59 q60 q61 q62 /MISSING=LISTWISE /CRITERIA=CLUSTER(4) MXITER(20) CONVERGE(0) /METHOD=KMEANS(NOUPDATE) /SAVE CLUSTER
/PRINT ANOVA CLUSTER DISTAN.
Quick Cluster
Notes
Output Created 27-Sep-2010 21:40:53
Comments
Input Data
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 250
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics are based on cases with no
missing values for any clustering variable
used.
Syntax QUICK CLUSTER q1 q2 q3 q4 q5 q6 q7 q8
q9 q10 q11 q12 q13 q14 q15 q16 q17 q18
q19 q20 q21 q22 q23 q24 q25 q26 q27 q28
q29 q30 q31 q32 q33 q34 q35 q36 q37 q38
q39 q40 q41 q42 q43 q44 q45 q46 q47 q48
q49 q50 q51 q52 q53 q54 q55 q56 q57 q58
q59 q60 q61 q62
/MISSING=LISTWISE
/CRITERIA=CLUSTER(4) MXITER(20)
CONVERGE(0)
/METHOD=KMEANS(NOUPDATE)
/SAVE CLUSTER
/PRINT ANOVA CLUSTER DISTAN.
Resources Processor Time 00:00:00.156
Elapsed Time 00:00:00.077
Workspace Required 14336 bytes
Variables Created or Modified QCL_2 Cluster Number of Case
Iteration Historya
Iteration
Change in Cluster Centers
1 2 3 4
1 8.061 7.570 8.145 8.785
2 .000 .000 .000 .000
a. Convergence achieved due to no or small change in cluster
centers. The maximum absolute coordinate change for any
center is .000. The current iteration is 2. The minimum distance
between initial centers is 18.921.
Cluster Membership
Case
Number Cluster Distance
1 1 6.371
2 2 7.310
3 4 7.643
4 1 7.400
5 4 7.976
6 2 6.571
7 2 7.158
8 2 5.602
9 3 6.894
10 1 6.846
11 2 7.159
12 4 7.338
13 3 6.487
14 1 7.711
15 2 7.981
16 1 8.465
17 2 7.471
18 1 7.557
19 2 6.218
20 3 6.361
21 4 7.579
22 4 7.268
23 2 6.867
24 4 7.118
25 4 8.019
26 3 6.064
27 4 8.084
28 1 7.613
29 1 9.019
30 1 7.343
31 4 7.639
32 2 6.546
33 1 7.156
34 1 7.457
35 4 6.752
36 4 6.864
37 4 7.287
38 4 6.068
39 2 7.141
40 1 7.820
41 2 6.622
42 1 7.885
43 4 7.321
44 1 8.006
45 4 7.734
46 4 8.418
47 1 7.352
48 1 8.151
49 4 8.980
50 1 7.965
51 1 7.896
52 3 6.588
53 4 7.392
54 4 7.821
55 3 6.663
56 3 7.217
57 1 7.763
58 4 6.868
59 2 7.495
60 4 8.785
61 1 6.185
62 1 6.516
63 2 7.132
64 1 7.082
65 3 6.156
66 4 7.651
67 2 6.889
68 2 7.749
69 1 8.001
70 2 6.204
71 2 7.709
72 1 7.726
73 3 6.821
74 4 6.356
75 2 7.397
76 1 7.183
77 1 6.727
78 4 8.703
79 1 7.816
80 1 8.017
81 2 9.006
82 4 6.643
83 2 7.919
84 2 6.643
85 4 7.251
86 2 6.641
87 1 7.439
88 2 6.604
89 3 7.077
90 4 7.226
91 1 6.497
92 3 7.646
93 4 6.670
94 1 7.887
95 4 7.552
96 2 6.752
97 1 6.629
98 1 7.623
99 2 7.694
100 3 7.816
101 4 7.430
102 4 7.186
103 4 6.600
104 2 7.326
105 3 6.830
106 2 6.589
107 1 8.104
108 4 7.842
109 2 6.544
110 2 7.376
111 4 7.974
112 3 7.130
113 1 6.919
114 2 6.670
115 2 8.138
116 4 7.210
117 1 6.980
118 2 6.727
119 2 5.859
120 2 7.560
121 2 6.952
122 1 7.344
123 2 7.570
124 4 6.893
125 3 7.955
126 4 8.118
127 1 8.077
128 2 7.127
129 1 7.658
130 4 7.773
131 4 6.954
132 3 7.037
133 2 7.150
134 3 7.247
135 1 8.061
136 2 6.351
137 4 7.045
138 1 8.630
139 4 7.459
140 1 7.749
141 1 8.665
142 2 7.234
143 1 7.181
144 1 7.434
145 3 7.282
146 4 7.258
147 3 6.458
148 2 6.885
149 2 7.609
150 2 7.915
151 2 7.568
152 1 7.458
153 2 5.404
154 2 7.188
155 2 7.475
156 3 6.988
157 2 6.828
158 2 6.198
159 1 6.841
160 1 7.530
161 1 8.281
162 4 6.888
163 2 6.618
164 2 8.599
165 2 6.889
166 2 6.809
167 2 7.471
168 4 8.542
169 2 7.322
170 3 7.337
171 2 6.353
172 3 6.454
173 2 6.882
174 2 7.055
175 4 7.670
176 2 7.950
177 1 7.642
178 1 7.808
179 4 7.887
180 4 7.642
181 3 6.356
182 1 7.887
183 4 8.258
184 3 7.230
185 4 7.472
186 2 7.280
187 4 6.793
188 4 8.435
189 1 7.829
190 1 6.405
191 4 7.819
192 4 7.047
193 2 7.683
194 2 7.433
195 4 7.821
196 4 6.782
197 3 6.898
198 1 8.580
199 1 7.797
200 1 7.720
201 4 7.038
202 1 8.447
203 4 6.689
204 3 6.616
205 1 6.983
206 4 7.061
207 1 7.705
208 1 7.805
209 3 8.145
210 2 6.882
211 1 7.581
212 2 7.555
213 3 6.830
214 1 7.656
215 1 7.498
216 4 7.441
217 2 7.343
218 1 8.213
219 1 6.923
220 2 6.403
221 4 7.591
222 2 8.337
223 4 7.863
224 2 7.908
225 2 6.633
226 2 7.555
227 2 6.351
228 3 6.607
229 1 6.938
230 1 7.373
231 1 6.868
232 1 7.430
233 3 6.821
234 1 7.483
235 4 6.394
236 1 7.345
237 1 7.479
238 2 6.499
239 2 7.601
240 3 5.642
241 1 6.716
242 2 7.543
243 4 7.434
244 1 7.544
245 2 8.135
246 2 7.890
247 4 7.233
248 3 5.876
249 4 7.076
250 2 7.329
Final Cluster Centers
Cluster
1 2 3 4
I want a car that is trendy. 4 7 6 4
I am fashion-conscious. 2 7 4 4
I do not have the time to worry about
car maintenance.4 4 4 6
Basic transportation is all I need. 4 4 2 6
Small cars are not prestigious. 2 4 4 6
A car is an extension of oneself. 4 4 4 4
My car must function with total
reliability.4 4 4 4
I want a car that is easy to handle. 4 4 4 4
I am looking for a car which delivers a
smooth ride.4 4 4 4
My car must function with total
reliability.4 4 4 4
Today's cars are more efficient than
yesterday's.4 4 4 4
I want a car tha is fuel economic. 4 4 4 4
I love to drive. 4 4 4 4
The car I buy must be able to handle
long motorway journeys.6 2 6 4
I want the most equipment I can get for
my money.6 4 7 4
I want a vehicle that is environmentally
friendly.6 4 4 4
I want a car that is nippy and zippy. 6 4 6 2
I prefer buying my next car from the
same car manufacturer.6 4 4 4
I wish there were stricter exhaust
regulations.6 4 4 4
One should not spend beyond one's
means.6 2 4 4
Good aerodynamics help fuel economy. 6 4 6 4
Small cars are much safer nowadays. 6 4 7 4
Buying a car on a lower interest rate
doesn't interest me.2 6 4 4
I want a car that drives well on country
roads.2 1 4 4
I consider myself an authority on cars. 2 4 2 4
Small cars are for kids. 2 4 1 4
Small cars are for women. 2 4 4 4
Domestic made is best made. 2 4 2 4
A car is a fashion accessory to me. 2 4 4 4
Having a masculine car important to
me.2 4 4 4
I want a comfortable car. 4 2 7 6
City driving is my main concern. 4 4 4 6
Fuel economy comes at the expense of
performance.4 4 4 6
I want a practical car. 4 4 4 6
I have always been fascinated by cars
which have a cult following.4 4 4 6
I would like to believe that the car I
drive will one day become a cult car.4 4 4 6
I prefer cars with high performance. 4 4 7 6
I do not believe that a Swatch branded
car will be successful.4 4 4 6
Small cars take up less room in today's
traffic.4 4 4 2
I prefer small cars. 4 4 4 2
In today's world it is anti-social to drive
big cars.4 6 1 2
Many manufacturers do not really care
about their customers' needs.4 4 1 2
I would rather deal with manufacturer's
rep than salesperson.4 4 4 2
I want to buy a car that makes a
statement about me.4 7 4 2
A car is an extension of oneself. 4 6 4 4
I always want the latest style and
design in a vehicle.4 7 4 4
When it comes to cars my heart rules
my head.4 7 4 4
My car must have a very individual
interior.4 7 4 4
Nowadays smart cars are mainly
foreign brands.4 6 4 4
People ought to buy domestic products
for the good of the country.4 6 4 4
I want a car equipped with the latest
features and technology.4 2 4 4
I have a relationship with my car. 4 1 6 4
Quality and reliability of products are
my main concerns.4 2 6 4
Image is not important to me in a car. 4 1 4 4
Cars all look the same these days. 4 1 4 4
Most environmentally friendly products
do not perform as well as those they
replaced.
4 1 4 4
I want a car that has character. 4 4 6 4
For me a car is a symbol of freedom
and independence.4 4 7 4
I am interested in car maintenance. 4 4 6 4
When buying a car I only consider a
national make.4 4 2 4
The government should implement
policies that favor public transportation.4 4 1 4
The government is right to tax large
cars more heavily than small cars.4 4 2 4
Distances between Final Cluster Centers
Cluster 1 2 3 4
1 15.622 11.484 12.731
2 15.622 17.940 15.402
3 11.484 17.940 13.759
4 12.731 15.402 13.759
ANOVA
Cluster Error
F Sig.Mean Square df Mean Square df
I want a car that is trendy. 130.027 3 .807 246 161.208 .000
I am fashion-conscious. 269.751 3 .621 246 434.150 .000
I do not have the time to worry
about car maintenance.65.848 3 .879 246 74.935 .000
Basic transportation is all I
need.150.208 3 .856 246 175.578 .000
Small cars are not prestigious. 211.566 3 .827 246 255.717 .000
A car is an extension of oneself. .654 3 1.090 246 .600 .616
My car must function with total
reliability.1.837 3 .922 246 1.991 .116
I want a car that is easy to
handle.1.538 3 .986 246 1.559 .200
I am looking for a car which
delivers a smooth ride.1.543 3 1.191 246 1.296 .277
My car must function with total
reliability..997 3 1.074 246 .928 .428
Today's cars are more efficient
than yesterday's..556 3 1.147 246 .485 .693
I want a car tha is fuel
economic..901 3 1.293 246 .697 .555
I love to drive. 1.096 3 1.316 246 .833 .477
The car I buy must be able to
handle long motorway journeys.323.072 3 .477 246 676.809 .000
I want the most equipment I can
get for my money.100.244 3 .781 246 128.390 .000
I want a vehicle that is
environmentally friendly.72.197 3 .951 246 75.941 .000
I want a car that is nippy and
zippy.244.907 3 .589 246 415.512 .000
I prefer buying my next car from
the same car manufacturer.74.548 3 .946 246 78.844 .000
I wish there were stricter
exhaust regulations.62.408 3 .986 246 63.324 .000
One should not spend beyond
one's means.247.438 3 .783 246 315.994 .000
Good aerodynamics help fuel
economy.94.216 3 .803 246 117.403 .000
Small cars are much safer
nowadays.91.181 3 .774 246 117.783 .000
Buying a car on a lower interest
rate doesn't interest me.266.754 3 .700 246 381.214 .000
I want a car that drives well on
country roads.91.441 3 .522 246 175.281 .000
I consider myself an authority
on cars.93.778 3 .692 246 135.551 .000
Small cars are for kids. 90.554 3 .859 246 105.423 .000
Small cars are for women. 71.587 3 .900 246 79.563 .000
Domestic made is best made. 94.119 3 .829 246 113.474 .000
A car is a fashion accessory to
me.63.415 3 1.055 246 60.097 .000
Having a masculine car
important to me.70.170 3 .829 246 84.657 .000
I want a comfortable car. 313.852 3 .519 246 604.793 .000
City driving is my main concern. 61.378 3 .990 246 61.967 .000
Fuel economy comes at the
expense of performance.58.071 3 .948 246 61.242 .000
I want a practical car. 61.000 3 .925 246 65.962 .000
I have always been fascinated
by cars which have a cult
following.
65.895 3 .899 246 73.333 .000
I would like to believe that the
car I drive will one day become
a cult car.
67.442 3 .787 246 85.698 .000
I prefer cars with high
performance.112.726 3 .830 246 135.868 .000
I do not believe that a Swatch
branded car will be successful.60.398 3 .959 246 62.973 .000
Small cars take up less room in
today's traffic.73.613 3 1.020 246 72.182 .000
I prefer small cars. 51.292 3 .985 246 52.082 .000
In today's world it is anti-social
to drive big cars.321.290 3 .537 246 597.892 .000
Many manufacturers do not
really care about their
customers' needs.
91.984 3 .860 246 106.951 .000
I would rather deal with
manufacturer's rep than
salesperson.
66.828 3 .931 246 71.757 .000
I want to buy a car that makes a
statement about me.247.455 3 .649 246 381.097 .000
A car is an extension of oneself. 108.320 3 .824 246 131.487 .000
I always want the latest style
and design in a vehicle.119.957 3 .743 246 161.472 .000
When it comes to cars my heart
rules my head.125.724 3 .957 246 131.401 .000
My car must have a very
individual interior.121.343 3 .900 246 134.808 .000
Nowadays smart cars are
mainly foreign brands.109.264 3 .958 246 114.057 .000
People ought to buy domestic
products for the good of the
country.
106.399 3 .915 246 116.346 .000
I want a car equipped with the
latest features and technology.115.789 3 .731 246 158.316 .000
I have a relationship with my
car.213.345 3 .765 246 278.857 .000
Quality and reliability of
products are my main concerns.211.706 3 .805 246 263.005 .000
Image is not important to me in
a car.110.026 3 .844 246 130.425 .000
Cars all look the same these
days.123.121 3 .756 246 162.826 .000
Most environmentally friendly
products do not perform as well
as those they replaced.
118.011 3 .876 246 134.720 .000
I want a car that has character. 57.464 3 1.137 246 50.551 .000
For me a car is a symbol of
freedom and independence.58.110 3 1.068 246 54.394 .000
I am interested in car
maintenance.54.275 3 .958 246 56.676 .000
When buying a car I only
consider a national make.64.476 3 1.132 246 56.937 .000
The government should
implement policies that favor
public transportation.
66.490 3 .882 246 75.400 .000
The government is right to tax
large cars more heavily than
small cars.
53.329 3 1.061 246 50.242 .000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the
differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be
interpreted as tests of the hypothesis that the cluster means are equal.
Number of Cases in each Cluster
Cluster 1 75.000
2 78.000
3 32.000
4 65.000
Valid 250.000
Missing .000