1.
By Group 04
M2
ARYA KUMAR SEN 1220212
RAVI SHANKAR 1220230
SUSAN KOSHY 1220260
MOHAMMED HUSSAIN 1220321
VISHWANATH SONNAD 1220343
Market Research:
2.
Title
A study of factors Influencing Selection of
Management Colleges in India
(A Case of CUIM, Bangalore)
3.
Objectives
• To analyze the choices made by students in
selecting management colleges.
• To determine the factors which are most
important in selecting a B School.
4.
Research Methodology
• Sample Size: 44
• Respondents: Students of Christ University
• Place of Study: Christ University Kengeri
Campus
5.
Research Methodology
• Type of questions: Structured & Unstructured
• No. of variables 14
• Sampling: Convenience Sampling
• Decision of Variable selection: Focus group
discussion
6.
Demographics
Male
36
82%
Female
8
18%
Gender
Pie Chart 1
Interpretation:
As we can see from the above pie chart 82% of respondents are males which form
the majority.
From chart 18% of respondents are females and minority.
7.
20-22
18
42%
23-25
24
56%
26-28
1
2%
Above 28
0
0%
Age
Pie Chart 2
Interpretation:
As we can see from the above pie chart 56% of respondents are aged between 23 and
25.
From chart 42% of respondents are aged between 20 and 22 and 2% between 26 to 28.
We can say that majority of about 98% respondents are aged between 20 and 25.
8.
23, 57%
12, 30%
2, 5%
2, 5% 0, 0%
1, 3%
Education Background
B.Tech B.Com BBA B.Sc BA Other
Pie Chart 3
Interpretation:
As we can see from the above pie chart 58% of respondents have studied engineering.
From chart 30% of respondents have studied B.com.
5% of respondents have studied BBA and B.SC each.
So there is a overall representation of all degrees.
9.
5, 12%
12, 28%
13, 30%
13, 30%
Annual Household Income
Up to 3 Lakhs 3-5 Lakhs 5-8 Lakhs Above 8 Lakhs
Doughnut Chart 1
Interpretation:
As we can see from the above chart 30% of respondents have annual household income between 5 to 8 Lakhs and
Above 8 Lakhs each.
From the chart 28% of respondents have annual income between 3 to 5 Lakhs and 12% upto 3 Lakhs.
So there is a overall representation of respondents have annual household income above 3 Lakhs with 88%
representation.
10.
Gender * Age Cross tabulation
Count
Age Total
20-22 23-25 26-28 Above 28
Gender
Male
37.14285714
%
57.14285714
%
2.9 % 2.9 % 35
Female 62.5 % 37.5 % 0 % 0 % 8
Total 18 23 1 1 43
Interpretation:
This cross tabulation shows the various combinations of values of gender types i.e. male & female and Age
categories i.e. 20-22. 23-25, 26-28 & above 28.
For example: Females under “Above 28 age category” are 2.9 % of total females i.e. 35.
11.
Gender * Education * Age Cross tabulation
Count
Age Education Total
B. Tech B. Com BBA B. Sc
20-22 Gender Male 33.333 % 50 % 8.333 % 8.333 % 12
Female 20 % 60 % 20 % 0 % 5
Total 5 9 2 1 17
23-25 Gender Male 73.684 % 10.53 % 10.53 % 5.263 % 19
Female 66.667 % 0 % 0 % 33.33 % 3
Total 16 2 2 2 22
26-28 Gender Male 100 % 1
Total 1 1
Above 28 Gender Male 100 % 1
Total 1 1
Total Gender Male 60.606 % 24.24 % 9.091 % 6.061 % 33
Female 37.5 % 37.5 % 12.5 % 12.5 % 8
Total 23 11 4 3 41
Interpretation:
Table b shows “Gender * Education * Age Cross tabulation” . It is being used to show the various counts of different combinations of a person from a
particular gender, from a particular Age and from a particular Educational Background.
For example: Under 20-22 Age category, male persons who have studied B. tech are 33.33 % of total 12 male persons.
12.
Factor Analysis
Why?????
To determine the factors Influencing Selection of
Management Colleges in India .
13.
Variables
Industry
Exposure
Location Alumni Network Accommodation
Diversity of
students
selected
Ranking Fees Co curriculum
Placements
Courses
available/
subjects
Faculty
qualification
Infrastructure
Quality of
students
14.
Reliability Statistics
Cronbach's Alpha Cronbach's Alpha
Based on
Standardized
Items
N of Items
.735 .733 13
Table 1 > 0.6 Consistency
As it can observed from the table 1.a below the Cronbach’s Alpha value of
0.746 is greater than 0.6. This indicates satisfactory internal consistency
reliability of the questionnaire. So, factor analysis can be done on the
responses for the analysis.
15.
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.562
Bartlett's Test of
Sphericity
Approx. Chi-Square 181.642
df 78
Sig. .000
Table 2
Interpretation of the test:
As the KMO value (.562) is greater than 0.5 and the Bartlett's Test of Sphericity
(0.00) is significant i.e. less than 0.5, factor analysis can be used to do the data
reduction of the given set of data values.
16.
Rotated Component Matrix
Component
1 2 3 4 5
Industry Exposure
.648
Location .841
Alumni Network
.876
Accommodation
.737
Diversity of students
selected
Ranking .548
Fees -.791
Co curriculum
.752
Placements .745
Courses available/
subjects
.622
Faculty qualification
.662
Infrastructure .702
Quality of students
.823
Total 2.961 2.253 1.511 1.259 1.250
% of Variance
22.775 17.331 11.623 9.688 9.613
Cumulative %
22.775 40.105 51.728 61.416 71.030
Table 3
17.
Naming of Factors
Factors Variables Factor Loadings
Curriculum and image
Accommodation .737
Ranking .548
Co curriculum .752
Courses available/ subjects .622
Infrastructure .702
Intellectual level and placements
Placements .662
Faculty qualification .745
Quality of students .823
Investment and exposure Industry Exposure .648
Fees -.791
Alumni Network Alumni Network .876
Table 4
18.
• Interpretation: The eigen values are
2.961, 2.253, 1.511, 1.259 and 1.250. The
percentages of variance showed by these
factors are 22.775, 17.331, 11.623, 9.688 and
9.613 respectively. Overall 71.030 % of
variation among the variables has been
captured by these major 5 factors.
22.
Table 6 ANOVA
Sum of Squares df Mean Square F Sig.
CURRICULUM AND
IMAGE
Between Groups .001 1 .001 .002 .969
Within Groups 16.052 40 .401
Total 16.053 41
INTELLECTUAL LEVEL
AND PLACEMENTS
Between Groups 1.143 1 1.143 1.324 .257
Within Groups 35.410 41 .864
Total 36.553 42
INVESTMENT AND
EXPOSURE
Between Groups .007 1 .007 .019 .890
Within Groups 14.689 40 .367
Total 14.696 41
ALUMNI NETWORK
Between Groups 1.536 1 1.536 3.360 .074
Within Groups 18.743 41 .457
Total 20.279 42
LOCATION
Between Groups .168 1 .168 .172 .680
Within Groups 40.018 41 .976
Total 40.186 42
23.
• Interpretation:
• As we can see from the above ANOVA table
the significance values for all the factors are
greater than 0.05.
• So the there is no significant difference
between the responses on gender variable.
• We can say that both the males and females
have responded in similar way.
24.
Gender
Table 5 Descriptives
N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum
Lower Bound Upper Bound
CURRICULUM
AND IMAGE
Male 34 3.8235 .64737 .11102 3.5977 4.0494 2.33 5.00
Female 8 3.8333 .56344 .19920 3.3623 4.3044 2.67 4.67
Total 42 3.8254 .62573 .09655 3.6304 4.0204 2.33 5.00
INTELLECTUAL
LEVEL AND
PLACEMENTS
Male 35 3.0857 .96115 .16246 2.7555 3.4159 1.00 4.67
Female 8 2.6667 .75593 .26726 2.0347 3.2986 1.00 3.33
Total 43 3.0078 .93290 .14227 2.7206 3.2949 1.00 4.67
INVESTMENT
AND EXPOSURE
Male 34 3.4706 .61473 .10543 3.2561 3.6851 2.00 4.50
Female 8 3.4375 .56300 .19905 2.9668 3.9082 2.50 4.00
Total 42 3.4643 .59871 .09238 3.2777 3.6509 2.00 4.50
ALUMNI
NETWORK
Male 35 4.4857 .65849 .11131 4.2595 4.7119 3.00 5.00
Female 8 4.0000 .75593 .26726 3.3680 4.6320 3.00 5.00
Total 43 4.3953 .69486 .10597 4.1815 4.6092 3.00 5.00
LOCATION
Male 35 3.7143 1.01667 .17185 3.3650 4.0635 2.00 5.00
Female 8 3.8750 .83452 .29505 3.1773 4.5727 2.00 5.00
Total 43 3.7442 .97817 .14917 3.4432 4.0452 2.00 5.00
25.
• Interpretation:
• As we have found from ANOVA test there was
no significant difference between responses
on gender variables.
• We can also observe the means of both male
and females are in the same range for all 5
factors which justifies no significant
difference.
27.
Table 8 ANOVA
Sum of Squares df Mean Square F Sig.
CURRICULUM AND
IMAGE
Between Groups 1.693 3 .564 1.493 .232
Within Groups 14.360 38 .378
Total 16.053 41
INTELLECTUAL LEVEL
AND PLACEMENTS
Between Groups 1.075 3 .358 .394 .758
Within Groups 35.478 39 .910
Total 36.553 42
INVESTMENT AND
EXPOSURE
Between Groups .309 3 .103 .272 .845
Within Groups 14.387 38 .379
Total 14.696 41
ALUMNI NETWORK
Between Groups .523 3 .174 .344 .794
Within Groups 19.756 39 .507
Total 20.279 42
LOCATION
Between Groups .273 3 .091 .089 .966
Within Groups 39.913 39 1.023
Total 40.186 42
28.
• Interpretation:
• As we can see from the above ANOVA table
the the significance values for all the factors
are greater than 0.05.
• So the there is no significant difference
between the responses on age variable.
• We can say that all age groups have
responded in similar way.
30.
• Interpretation:
• As we have found from ANOVA test there was
no significant difference between responses
on age variables.
• We can also observe the means of various age
categories are in the same range for all 5
factors which justifies no significant
difference.
32.
Table 09 ANOVA
Sum of Squares df Mean Square F Sig.
CURRICULUM AND
IMAGE
Between Groups 4.708 3 1.569 5.687 .003
Within Groups 9.934 36 .276
Total 14.642 39
INTELLECTUAL LEVEL
AND PLACEMENTS
Between Groups 1.566 3 .522 .637 .596
Within Groups 30.326 37 .820
Total 31.892 40
INVESTMENT AND
EXPOSURE
Between Groups .525 3 .175 .459 .713
Within Groups 13.719 36 .381
Total 14.244 39
ALUMNI NETWORK
Between Groups .066 3 .022 .041 .989
Within Groups 19.690 37 .532
Total 19.756 40
LOCATION
Between Groups .779 3 .260 .248 .862
Within Groups 38.782 37 1.048
Total 39.561 40
33.
• Interpretation:
• As we can see from the above ANOVA table
the the significance values for all the factors
except Curriculum and Image are greater than
0.05.
• So for Curriculum and Image there is
significant difference between the responses
on Education variable.
34.
Education Background
Table 09 Descriptives
N Mean Std. Deviation Std. Error 95% Confidence Interval for
Mean
Minimum Maximum
Lower Bound Upper Bound
CURRICULUM
AND IMAGE
B.Tech 23 3.5797 .55247 .11520 3.3408 3.8186 2.33 4.33
B. Com 11 4.2727 .51247 .15452 3.9284 4.6170 3.67 5.00
BBA 3 4.4444 .50918 .29397 3.1796 5.7093 4.00 5.00
B. Sc 3 3.8889 .19245 .11111 3.4108 4.3670 3.67 4.00
Total 40 3.8583 .61272 .09688 3.6624 4.0543 2.33 5.00
INTELLECTUAL
LEVEL AND
PLACEMENTS
B.Tech 23 3.0435 .88366 .18426 2.6614 3.4256 1.00 4.33
B. Com 11 3.3030 .86223 .25997 2.7238 3.8823 2.33 4.67
BBA 4 2.5833 1.06719 .53359 .8852 4.2815 1.00 3.33
B. Sc 3 3.1111 1.07152 .61864 .4493 5.7729 2.33 4.33
Total 41 3.0732 .89291 .13945 2.7913 3.3550 1.00 4.67
INVESTMENT
AND EXPOSURE
B.Tech 23 3.5652 .62712 .13076 3.2940 3.8364 2.00 4.50
B. Com 10 3.4000 .61464 .19437 2.9603 3.8397 2.50 4.00
BBA 4 3.5000 .70711 .35355 2.3748 4.6252 2.50 4.00
B. Sc 3 3.1667 .28868 .16667 2.4496 3.8838 3.00 3.50
Total 40 3.4875 .60434 .09555 3.2942 3.6808 2.00 4.50
ALUMNI
NETWORK
B.Tech 23 4.3913 .72232 .15061 4.0790 4.7037 3.00 5.00
B. Com 11 4.3636 .80904 .24393 3.8201 4.9072 3.00 5.00
BBA 4 4.5000 .57735 .28868 3.5813 5.4187 4.00 5.00
B. Sc 3 4.3333 .57735 .33333 2.8991 5.7676 4.00 5.00
Total 41 4.3902 .70278 .10976 4.1684 4.6121 3.00 5.00
LOCATION
B.Tech 23 3.8261 .98406 .20519 3.4005 4.2516 2.00 5.00
B. Com 11 3.5455 .82020 .24730 2.9944 4.0965 2.00 5.00
BBA 4 3.7500 1.25831 .62915 1.7478 5.7522 2.00 5.00
B. Sc 3 4.0000 1.73205 1.00000 -.3027 8.3027 2.00 5.00
Total 41 3.7561 .99450 .15531 3.4422 4.0700 2.00 5.00
35.
• Interpretation:
• As we have found from ANOVA test there was
significant difference between responses on
education variables.
• We can see the mean value of respondents who
choose BBA as their educational background is
4.44 which is more than other category
respondents.
• So respondents have favorably responded
towards BBA on education variable.
37.
Table 11 ANOVA
Sum of Squares df Mean Square F Sig.
CURRICULUM AND
IMAGE
Between Groups 1.570 3 .523 1.339 .276
Within Groups 14.457 37 .391
Total 16.027 40
INTELLECTUAL LEVEL
AND PLACEMENTS
Between Groups 1.812 3 .604 .663 .580
Within Groups 34.622 38 .911
Total 36.434 41
INVESTMENT AND
EXPOSURE
Between Groups .614 3 .205 .577 .634
Within Groups 13.130 37 .355
Total 13.744 40
ALUMNI NETWORK
Between Groups 1.028 3 .343 .682 .568
Within Groups 19.091 38 .502
Total 20.119 41
LOCATION
Between Groups 1.505 3 .502 .494 .689
Within Groups 38.614 38 1.016
Total 40.119 41
38.
• Interpretation:
• As we can see from the above ANOVA table
the the significance values for all the factors
are greater than 0.05.
• So the there is no significant difference
between the responses on Income variable.
• We can say that all income groups have
responded in similar way.
40.
• Interpretation:
• As we have found from ANOVA test there was
no significant difference between responses
on income variable.
• We can also observe the means of all the
income groups are in the same range for all 5
factors which justifies no significant
difference.
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