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1
CHAPTER 4
FINDINGS AND DATA ANALYSIS
2
Chapter 4
Findings and Analysis of Data
This chapter is divided into three parts. Firstly to identify the various innovative practices
used by Business schools in mentoring, and then to analyse them from the mentees post
mentoring in form of feedback, which was both qualitative as well as quantitative.
Quantitative analysis of the feedback was conducted with the help of descriptive statistics,
whereas the Qualitative findings have been tabulated. Thirdly to evaluate the relationship
between Emotional Intelligence profile of a management student and his choice of the sector.
As mentioned in the previous chapter an Exploratory study has been conducted to get an in
depth knowledge about the concept of mentoring being used by Business schools. Data has
been collected with the aid of qualitative methodology in form of in-depth interviews with
experienced mentors.
It was found that a mentoring process typically included the following processes: Group
Discussions (GDs), Discovery Interviews (DIs), Group Personal Interviews, Personal
Interviews (PIs).
Once the mentees were guided by the mentors for the above mentioned process activities, the
mentees were then asked to rate the effect of mentoring on each mentoring process activity as
a feedback for mentoring. The rating was conducted on a 4 point scale, where 0 = least
effective, 1 = somewhat effective, 2 = moderately effective, 3 = very effective.
3
Corporate GDs
Corporate GDs were conducted to create an effective managerial scenario. The seating plan
of 10 to 12 on one end facing the same numbers on the other side enabled them to realise the
concept of one-on-one mapping. There were two (2) discussions conducted in each group.
Therefore, there were two roles to be assumed by each student, one, as a participant and two,
as an observer. The time taken per group was two hours. The parameters used for assessment
were explained elaborately in 5 minutes according to the following 5 major parameters:
A. Extent of participation
( 1. Opening 2. Number of times participated 3. Summarisation)
B. New ideas contributed
(1. Creativity 2. Relevance 3. Real life examples 4. Content)
C. Building on others’ ideas
(1. Listening 2. Assimilation 3. Number of Original Ideas)
D. Disagreeing with respect, without being offensive
(1. Patience 2. Culture 3. Confidence)
E. Leading the group, encouraging participation by all
(1. Team orientation 2. Influencing others)
The participating group was given two topics to pick from. With a preparatory time of 2
minutes given to the group, the discussion lasted for 15 minutes. The feedback for each
student was given by a) Student observer and the b) Mentor within the total time of 35
minutes, including time taken for answering queries.
The students were then asked to rate the effect of mentoring on the Group discussion activity
based on the above mentioned factors for Group discussion. The results for which are as
follows:
4
GROUP DISCUSSION RESULTS GD Parameter: Extent of Participation results
Table1: Extent of Participation percentage results
Figure 1: Extent of Participation distribution
For the parameter, “Extent of participation”, as seen from the above table, maximum voted for
mentoring to be moderately effective which was around 55% whereas 23% rated it to be very
effective. As less as 7% of the mentees found mentoring to be least effective for the given parameter
of Group Discussion. From the given data one can conclude that mentoring, overall for the parameter,
Extent of Participation, was moderately effective. From these results it can be interpreted that the
effect of mentoring is moderately effective because Group Discussion is many a times turns out to be
very chaotic, hence it becomes difficult for students to participate in the chaos, hence an effective
guidance from a mentor regarding, when and how to participate must have created a good impact on
the mentee, hence the maximum rating would have turned out for Moderately effective.
0
100
200
300
400
500
600
Extent of Participation
0
1
2
3
Parameters/Score 0 1 2 3
Extent of Participation
67 (7.4%) 127 (14.11 %) 498 (55.3 %) 208 (23.1 %)
5
GD Parameter: News Ideas Contributed results
Table 2: News Ideas Contributed percentage results
Fig 2: News Ideas Contributed distribution
For the parameter, “New ideas contributed”, as seen from the above table, maximum voted for
mentoring to be moderately effective which was around 42% whereas 23% rated it to be somewhat
effective. As less as 9% of the mentees found mentoring to be least effective for the given parameter
of Group Discussion. From the given data one can conclude that mentoring, overall for the parameter,
New ideas contributed, was moderately effective. From these results it can be interpreted that the
effect of mentoring is moderately effective because Group Discussion at one given point of time
becomes repetitive and hence brings boredom, hence an effective guidance from a mentor regarding
when and how to contribute new idea must have created a good impact on the mentee, hence the
maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
New Ideas Contributed
0
1
2
3
Parameters/Score 0 1 2 3
New Ideas Contributed 84 (9.3 %) 212 (23.5 %) 381 (42.3%) 123 (13.6%)
6
GD Parameter: Building on other’s ideas results
Table3 :Building on other’s ideas percentage results
Fig 3: Building on other’s ideas distribution
For the parameter, “Building on other’s ideas”, as seen from the above table, maximum voted for
mentoring to be somewhat effective which was around 40% whereas around 36% rated it to be
moderately effective. As less as 10% of the mentees found mentoring to be least effective for the
given parameter of Group Discussion, and 13% found mentoring to be very effective for this
parameter. From the given data one can conclude that mentoring, overall for the parameter Building
on other’s ideas, was somewhat effective. From these results it can be interpreted that the effect of
mentoring is somewhat effective because building on other’s ideas mostly is impromptu, and would
require more practice over a period of time, which may not create immediate impact through
Mentoring, though as shown in the graph the percentage of very effective mentoring for this
parameter is slightly higher than that of least effective.
0
50
100
150
200
250
300
350
400
Building on other’s ideas
0
1
2
3
Parameters/Score 0 1 2 3
Building on other’s ideas 94 (10.4 %) 364 (40.4 %) 323 (35.8 %) 119 (13.2%)
7
GD Parameter: Disagreeing with respect without being offensive results
Table4 : Disagreeing with respect without being offensive percentage results
Fig4 : Disagreeing with respect without being offensive distribution
For the parameter, “Disagreeing with respect without being offensive”, as seen from the above table,
maximum voted for mentoring to be somewhat effective which was around 38% though there was not
much difference between somewhat effective and least effective 35% that may be because of the
aggressive nature of the students, to prove their point, beyond a point of time, they may get offensive
and mentoring for disagree with respect may not be effective at one setting and may require few more
mentoring sessions. Hence we find a subsequent drop in the percentages of mentoring being
moderately effective and very effective.
0
50
100
150
200
250
300
350
400
Disagreeing with respect without being offensive
0
1
2
3
Parameters/Score 0 1 2 3
Disagreeing with respect without being offensive
315 (35 %) 341 (37.8 %) 171 (19%) 73(8.1 %)
8
GD Parameter: Leading the group, ensuring participation by all results
Table 5:Leading the group, ensuring participation by all percentage results
Fig 5:Leading the group, ensuring participation by all distribution
For the parameter, “Leading the group ensuring participation by all”,as seen from the above table,
maximum voted for mentoring to be moderately effective which was around 45% whereas 20% rated
it to be very effective. As less as 11% of the mentees found mentoring to be least effective for the
given parameter of Group Discussion. From the given data one can conclude that mentoring, overall
for the parameter, Leading the group ensuring participation by all, was moderately effective. From
these results it can be interpreted that the effect of mentoring is moderately effective an effective
guidance from a mentor regarding, when and howtolead and involve all must have created a good
impact on the mentee, hence the maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Leading the group, ensuring participation by all
0
1
2
3
Parameters/Score 0 1 2 3
Leading the group, ensuring participation by all
99 (11%) 409 (45.4%) 208 (23.1%) 184 (20.4%)
9
Discovery Interviews
Discovery Interviews acted as a bridge between real Personal Interviews and the
unpreparedness of the student. This interview was held as a pre-curser to real PI. The
objective of DI was to unleash the potential in a candidate and gauge the depth of the
candidate bringing him in a “comfort zone”. This was a 12 to 15 minute process. Before
starting the process, they were briefed regarding how this was to be a heart to heart session,
how they needed to consider the mentor as a friend and open up. Students were asked
questions such as What makes you cry? Why?, Which is the biggest lie that you would have
spoken?, If your best friend had to speak about you, what three things would he say?, Who is
your role model and why?, Which is your dream sector and why?, If not an MBA, what
would you have done?, Which is the biggest fear that you have?, What has been the greatest
achievement in your life? How did you celebrate it? While talking to the student, the mentor
made sure that he maintained eye contact with the student to make him feel comfortable. The
idea was to allow the student to open up during the conversation.
The students were then asked to rate the effect of mentoring on the Discovery interview
activity based on the above mentioned factors for Discovery interview. The results for which
are as follows:
10
DISCOVERY INTERVIEW RESLUTS
D.I Parameter: Personality results
Table 6: Personality percentage. Results
Fig 6: Personality distribution
For the parameter, “Personality”, as seen from the above table, maximum voted for mentoring to be
moderately effective which was around 55% whereas 13% rated it to be very effective. As less as 6%
of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview.Whereas around 25% rated it to be somewhat effective. From the given data one can
conclude that mentoring, overall for the parameter, Personality, was moderately effective. From these
results it can be interpreted that the effect of mentoring is moderately effective because Discovery
Interview brings out a lot of unknown facets in a person on surface, which helps in knowing ones
personality better. D.I. stands as a mirror, discovering your personality, hence an effective guidance of
a mentor regarding, understanding ones personality must have created a good impact on the mentee,
hence the maximum rating would have turned out for Moderately effective.
0
100
200
300
400
500
600
Personality
0
1
2
3
Parameters/Score 0 1 2 3
Personality 58 (6.4 %) 222 (24.6%) 501 (55.6%) 119 (13.2 %)
11
D.I Parameter: Body Language results
Table 7: Body Language percentage results
Fig 7: Body Language distribution
For the parameter, “Body Language”, as seen from the above table, maximum voted for mentoring to
be moderately effective which was around 58% whereas 11.5% rated it to be very effective. As less as
7% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview.Whereas around 23.5% rated it to be somewhat effective. From the given data one can
conclude that mentoring, overall for the parameter, Body Language, was moderately effective. From
these results it can be interpreted that the effect of mentoring is moderately effective because Body
Language approximately controls 70% and above of a person’s communication which is well
reflected in the Discovery Interview and thus can be well crafted, hence an effective guidance of a
mentor regarding, understanding ones Body Language must have created a good impact on the
mentee, hence the maximum rating would have turned out for Moderately effective.
0
100
200
300
400
500
600
Body Language
0
1
2
3
Parameters/Score 0 1 2 3
Body Language 62 (6.8 %) 212 (23.5%) 522 (58%) 104 (11.5 %)
12
D.I Parameter: Handling Pressure results
Table 8 : Handling Pressure percentage results
Fig 8: Handling Pressure distribution
For the parameter, “ Handling Pressure”, as seen from the above table, maximum voted for mentoring
to be moderately effective which was around 59% whereas 15% rated it to be very effective. As less
as 5% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview.Whereas around 21% rated it to be somewhat effective. From the given data one can
conclude that mentoring, overall for the parameter, Handling Pressure, was moderately effective.
From these results it can be interpreted that the effect of mentoring is moderately effective because
normally a student specially who is a fresher is stressed facing a job interview which is well reflected
in the Discovery Interview and thus can be well crafted. Hence an effective guidance from a mentor
regarding, understanding one’s stress must have created a good impact on the mentee, hence the
maximum rating would have turned out for Moderately effective.
0
100
200
300
400
500
600
Handling Pressure
0
1
2
3
Parameters/Score 0 1 2 3
Handling Pressure 42 (4.6%) 188 (20.8 %) 532 (59.1 %) 138 (15.3%)
13
D.I Parameter: Self Awareness results
Table 9: Self Awareness percentage results
Fig 9: Self Awareness distribution
For the parameter, “Self Awareness”, as seen from the above table, maximum voted for mentoring to
be moderately effective which was around 55% whereas 14% rated it to be very effective. As less as
5% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview.Whereas around 26% rated it to be somewhat effective. From the given data one can
conclude that mentoring, overall for the parameter, Self Awareness, was moderately effective. From
these results it can be interpreted that the effect of mentoring is moderately effective because Self
awarenessisa quality which is at the most reflected in the Discovery Interview and thus can be well
crafted. Hence an effective guidance of a mentor regarding, understanding oneself Awareness must
have created a good impact on the mentee, hence the maximum rating would have turned out for
Moderately effective.
0
100
200
300
400
500
600
Self Awareness
0
1
2
3
Parameters/Score 0 1 2 3
Self Awareness 44 (4.8 %) 232 (25.7%) 496 (55.1 %) 128 (14.2 %)
14
D.I Parameter: Thought clarity results
Table10 : Thought clarity percentage results
Fig 10: Thought clarity distribution
For the parameter, “Thought clarity”, as seen from the above table, maximum voted for mentoring to
be somewhat effective which was around 49% whereas just 10% rated it to be very effective. Roughly
11% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview, leaving not much significant difference between least and most effective percentage values.
Around 25% rated it to be moderately effective. From the given data one can conclude that mentoring,
overall for the parameter, Thought clarity, was somewhat effective. From these results it can be
interpreted that the effect of mentoring is somewhat effective and not moderately or very effective
because though clarity cannot be imbibed at one setting of mentoring and hence may require few
more mentoring sessions.
0
50
100
150
200
250
300
350
400
450
500
Thought clarity
0
1
2
3
Parameters/Score 0 1 2 3
Thought clarity 98(10.8 %) 442 (49.1%) 278 (30.8%) 82(9.1%)
15
D.I Parameter: Verbal communication results
Table11 : Verbal communication percentage results
Fig 11: Verbal communication distribution
For the parameter, “Verbal communication”, as seen from the above table, maximum voted for
mentoring to be somewhat effective which was around 53% whereas just 9% rated it to be very
effective. Roughly 12% of the mentees found mentoring to be least effective for the given parameter
of Discovery Interview, whereas around 25% rated it to be moderately effective. From the given data
one can conclude that mentoring, overall for the parameter, Verbal communication, was somewhat
effective. From these results it can be interpreted that the effect of mentoring is somewhat effective
and not moderately or very effective because verbal communication cannot be imbibed at one setting
of mentoring and hence may require more practice on the part of the mentee.
0
50
100
150
200
250
300
350
400
450
500
Verbal communication
0
1
2
3
Parameters/Score 0 1 2 3
Verbal communication 84 (9.3%) 245 (27.2%) 472 (52.4%) 99 (11 %)
16
D.I Parameter: Creativity results
Table 12: Creativity percentage results
Fig 12:Creativity distribution
For the parameter, “Creativity”, as seen from the above table, maximum voted for mentoring to be
somewhat effective which was around 53% whereas just 9% rated it to be very effective. Roughly
12% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview, whereas around 25% rated it to be moderately effective. From the given data one can
conclude that mentoring, overall for the parameter, Creativity, was somewhat effective. From these
results it can be interpreted that the effect of mentoring is somewhat effective and not moderately or
very effective because creativity cannot be imbibed at one setting of mentoring and hence may
require few more mentoring sessions.
0
100
200
300
400
500
600
Creativity
0
1
2
3
Parameters/Score 0 1 2 3
Creativity 112 (12.4%) 482 (53.5%) 227 (25.2 %) 79 (8.7%)
17
D.I Parameter: Passion results
Table 13:Passion percentage results
Fig 13: Passion distribution
For the parameter, “Passion”, as seen from the above table, maximum voted for mentoring to be
somewhat effective which was around 55% whereas just 10% rated it to be very effective. Roughly
13% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview, whereas around 27% rated it to be moderately effective. From the given data one can
conclude that mentoring, overall for the parameter, Passion, was somewhat effective. From these
results it can be interpreted that the effect of mentoring is somewhat effective because passion varies
from person to person, and it becomes difficult to mentor a student about being passionate and bring
him to the same level of passion as that of mentor in one setting. Hence it is required that some more
mentoring sessions to be conducted for this parameter.
0
100
200
300
400
500
600
Passion
0
1
2
3
Parameters/Score 0 1 2 3
Passion 122 (13.5 %) 498 (55.3%) 242 (26.8%) 90 (10 %)
18
D.I Parameter: Aggression results
Table 14: Aggression percentage results
Fig 14:Aggression distribution
For the parameter, “Aggression”, as seen from the above table, maximum voted for mentoring to be
somewhat effective which was around 57% whereas just 8% rated it to be very effective. Roughly
18% of the mentees found mentoring to be least effective for the given parameter of Discovery
Interview, whereas around 26% rated it to be moderately effective. From the given data one can
conclude that mentoring, overall for the parameter, Aggression, was somewhat effective. From these
results it can be interpreted that the effect of mentoring is somewhat effective because the mentees
being predominantly youth, aggression was something which had to be practised to be controlled over
a period of time, which was not much effective with one setting of mentoring, hence require some
more mentoring sessions for this parameter.
0
100
200
300
400
500
600
Aggression
0
1
2
3
Parameters/Score 0 1 2 3
Aggression 161 (17.8 %) 512 (56.8 %) 238 (26.4 %) 69 (7.6%)
19
Personal Interviews
Personal Interviews (PIs) were conducted for around half an hour for each student. The
questions were a combination of both general and specialization oriented ones. The idea was
to assess the student with respect to Career Vision/Goal Orientation, Personality Impact,
Communication, Knowledge and General awareness. This was accomplished by conducting
the PIs in 3 key phases:
Phase 1: Warming Up/Opening questions:
Personality Impact was assessed by asking the student to tell something about himself in two
minutes. To assess clarity of thought and career vision, the student was asked about his goal
in life and where did he see himself five years from now. Communication was judged by
asking questions like what are your greatest strengths, weaknesses?, what are your co-
curricular interests?
Phase 2: Specialisation–oriented questions:
The student’s knowledge in the area of specialization was assessed by asking about why he
chose a certain stream, what he thought about the current status and growth prospects in the
industry/sector of choice, what was his dream company/dream job and why?
Phase 3: General questions: The candidate’s creativity, ability to handle pressure, passion,
ethics, general awareness etc. was evaluated by asking questions like what makes you unique
for a specific job, what type of work environment appeals to you the most?, Is there any fast
track route for super-achievers? etc.
The students were then asked to rate the effect of mentoring on the Personal interview
activity based on the above mentioned factors for Personal interview. The results for which
are as follows:
20
PERSONAL INTERVIEW RESLUTS
P.I Parameter: Personality Impact results
Table15 : Personality Impact percentage results
Fig 15: Personality Impact distribution
For the parameter, “Personality Impact”, as seen from the above table, maximum voted for mentoring
to be moderately effective which was around 48% whereas just 36% rated it to be very effective. As
less as 6% of the mentees found mentoring to be least effective and around 10% found out mentoring
to be somewhat effective for the given parameter of Personal Interviews. From the given data one can
conclude that mentoring, overall for the parameter Personality Impact, was moderately effective.
From these results it can be interpreted that the effect of mentoring is moderately effective because
guidance on how to create a strong personal impact in a personal interview must have created a good
impact on the mentee, hence the maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Personality Impact
0
1
2
3
Parameters/Score 0 1 2 3
Personality Impact 54 (6%) 93 (10.3%) 428 (47.5 %) 325 (36.1%)
21
P.I Parameter: Career Vision results
Table 16: Career Vision percentage results
Fig 16: Career Vision distribution
For the parameter, “Career Vision”, as seen from the above table, maximum voted for mentoring to be
moderately effective which was around 35% whereas 23% rated it to be very effective. As less as
14% of the mentees found mentoring to be least effective and around 27.5% found out mentoring to
be somewhat effective for the given parameter of Personal Interviews. From the given data one can
conclude that mentoring, overall for the parameter Career Vision, was moderately effective. From
these results it can be interpreted that the effect of mentoring is moderately effective because guidance
on how to have a clear career vision for a personal interview must have created a good impact on the
mentee, hence the maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
Career Vision
0
1
2
3
Parameters/Score 0 1 2 3
Career Vision 130 (14.4%) 248 (27.5%) 312 (34.6%) 210 (23.3%)
22
P.I Parameter: Communication results
Table 17: Communication percentage results
Fig 17: Communication distribution
For the parameter, “Communication”, as seen from the above table, maximum voted for mentoring to
be moderately effective which was around 48% whereas just 26% rated it to be very effective. As less
as 10% of the mentees found mentoring to be least effective and around 16% found out mentoring to
be somewhat effective for the given parameter of Personal Interviews. From the given data one can
conclude that mentoring, overall for the parameter Communication, was moderately effective. From
these results it can be interpreted that the effect of mentoring is moderately effective because guidance
on how to improve on ones’ basic communication skill in a personal interview must have created a
good impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
0
50
100
150
200
250
300
350
400
450
500
Communication
0
1
2
3
Parameters/Score 0 1 2 3
Communication 91 (10.1 %) 142 (15.7%) 436 (48.4 %) 231(25.6 %)
23
P.I Parameter: Knowledge results
Table 18: Knowledge percentage results
Fig 18: Knowledge distribution
For the parameter, “Knowledge”, as seen from the above table, maximum voted for mentoring to be
moderately effective which was around 44% whereas just 13% rated it to be very effective. As less as
9% of the mentees found mentoring to be least effective and around 34% found out mentoring to be
somewhat effective for the given parameter of Personal Interviews. From the given data one can
conclude that mentoring, overall for the parameter Knowledge, was moderately effective. From these
results it can be interpreted that the effect of mentoring is moderately effective because an effective
guidance of Knowledge with regards to the concepts and fundamentals or with regards to their
summer projects must have created a good impact on the mentee, hence the maximum rating would
have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Knowledge
0
1
2
3
Parameters/Score 0 1 2 3
Knowledge 81(9%) 304 (33.7%) 399 (44.3%) 116 (12.8%)
24
P.I Parameter: General Awareness results
Table 19: General Awareness percentage results
Fig 19: General Awareness distribution
For the parameter, “General Awareness”, as seen from the above table, maximum voted for mentoring
to be moderately effective which was around 34% close around the percentage figure for somewhat
effective rating which was 30% and least effective to be around 28%. From the given data one can
conclude that there was no significant difference in the percentages mentoring, among moderately
effective, somewhat effective and least effective because General Awareness is a continuous learning
process, where in a student has to constantly upgrade himself with the latest happenings. A mentoring
session will only sensitize the awareness level of general knowledge. Repeat sessions on general
awareness may increase the impact of mentoring for this parameter.
0
50
100
150
200
250
300
350
General Awareness
0
1
2
3
Parameters/Score 0 1 2 3
General Awareness 251 (27.8%) 270 (30%) 309 (34.3%) 70 (7.7%)
25
P.I Parameter: Confidence results
Table 20: Confidence percentage results
Fig 20: Confidence distribution
For the parameter, “Confidence”, as seen from the above table, maximum voted for mentoring to be
moderately effective which was around 46% whereas 33.5% rated it to be very effective. As less as
6% of the mentees found mentoring to be least effective for the given parameter of Personal
Interviews. From the given data one can conclude that mentoring, overall for the parameter
Confidence, was moderately effective. From these results it can be interpreted that the effect of
mentoring is moderately effective because an effective guidance of how to boost ones’ confidence in
a personal interview must have created a good impact on the mentee, hence the maximum rating
would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Confidence
0
1
2
3
Parameters/Score 0 1 2 3
Confidence 52 (5.7%) 118 (13.1%) 418 (46.4%) 302 (33.5%)
26
Group Interviews
Group Interviews were meant to expose the students to a peer group with around 10 students
with a Mentor in the centre. The session was scheduled for an hour. This session was a high
pressure session for the candidates since questions were technical in nature and at the same
time one had to face the peers seated next to them. The group sessions invoked comparison
besides a fear of failure. The idea was to go deep into the functional knowledge and summer
projects. The questions were asked at random to any student and once he answered, the
Mentor immediately cross checked with another candidate for his views. Such sessions
ensured asking students to introduce themselves and talk about their experience during
summers. Besides this, each student was questioned about basic concepts in the area of study.
Each student would get at least four opportunities to speak. The Mentor ended the session by
giving feedback on their flow of thoughts, knowledge and body language.
The students were then asked to rate the effect of mentoring on the Group interview activity
based on the above mentioned factors for Group interview. The results for which are as
follows:
27
GROUP INTERVIEW RESLUTS
G.I Parameter: Ability to Introduce yourself results
Table21 :Ability to Introduce yourself percentage results
Fig 21:Ability to Introduce yourself distribution
For the parameter, “Ability to introduce yourself”, as seen from the above table, maximum voted for
mentoring to be moderately effective which was around 46% whereas 33.5% rated it to be very
effective. As less as 8% of the mentees found mentoring to be least effective for the given parameter
of Group Interviews. From the given data one can conclude that mentoring, overall for the parameter
Ability to introduce yourself, was moderately effective. From these results it can be interpreted that
the effect of mentoring is moderately effective because an effective guidance of how to introduce
yourself among the rest of the students in a group interview must have created a good impact on the
mentee, hence the maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Ability to Introduce yourself
0
1
2
3
Parameters/Score 0 1 2 3
Ability to Introduce yourself
73 (8.1%) 114 (12.6 %) 411 (45.6%) 302 (33.5%)
28
G.I Parameter: Ability to talk about summers results
Table 22:Ability to talk about summers percentage results
Fig 22:Ability to talk about summers distribution
For the parameter, “Ability to talk about your summers”, as seen from the above table, maximum
voted for mentoring to be moderately effective which was around 45% whereas 32% rated it to be
very effective. As less as 8% of the mentees found mentoring to be least effective for the given
parameter of Group Interviews. From the given data one can conclude that mentoring, overall for the
parameter Ability to talk about your summers, was moderately effective. From these results it can be
interpreted that the effect of mentoring is moderately effective because an effective guidance of how
to talk about your summers with regards to the content, technicalities in summer project among the
rest of the students in a group interview must have created a good impact on the mentee, hence the
maximum rating would have turned out for Moderately effective.
0
50
100
150
200
250
300
350
400
450
Ability to talk about summers
0
1
2
3
Parameters/Score 0 1 2 3
Ability to talk about summers
72 (8%) 138 (15.3%) 404 (44.8%) 286 (31.7%)
29
G.I Parameter: Knowledge within area of specialization results
Table 23:Knowledge within area of specialization percentage results
Fig 23:Knowledge within area of specialization distribution
For the parameter, “Knowledge within area of specialization”, as seen from the above table,
maximum voted for mentoring to be moderately effective which was around 43% whereas 15% rated
it to be very effective. As less as 12% of the mentees found mentoring to be least effective for the
given parameter of Group Interviews. From the given data one can conclude that mentoring, overall
for the parameter Knowledge within area of specialization, was moderately effective. From these
results it can be interpreted that the effect of mentoring is moderately effective because an effective
guidance of Knowledge within area of specialization with regards to the concepts and fundamentals
must have created a good impact on the mentee, hence the maximum rating would have turned out for
Moderately effective.
0
50
100
150
200
250
300
350
400
450
Knowledge within area of specialization
0
1
2
3
Parameters/Score 0 1 2 3
Knowledge within area of specialization
109(12.1%) 276 (30.6%) 384 (42.6%) 131 (14.5%)
30
G.I Parameter: General awareness results
Table 24:General awareness percentage results
Fig 24:General awareness distribution
For the parameter, “General Awareness”, as seen from the above table, maximum voted for mentoring
to be moderately effective which was around 35% whereas hardly 10% rated it to be very effective.
Around 32% of the mentees found mentoring to be somewhat effective for the given parameter of
Group Interviews. From the given data one can conclude that mentoring, overall for the parameter
General awareness, was moderately effective. From these results it can be interpreted that there is not
much significant difference between moderately effective and somewhat effective, as well as the
percentage of least effective is high compared to other parameters because General Awareness is a
continuous learning process, where in a student has to constantly upgrade himself with the latest
happenings. A mentoring session will only sensitize the awareness level of general knowledge. Repeat
sessions on general awareness may increase the impact of mentoring for this parameter.
0
50
100
150
200
250
300
350
General awareness
0
1
2
3
Parameters/Score 0 1 2 3
General awareness 212 (23.5%) 289 (32.1%) 312 (34.6%) 87 (9.6%)
31
G.I Parameter: Confidence level results
Table 25:Confidence level percentage results
Fig 25:Confidence level distribution
For the parameter, “Confidence level”, as seen from the above table, maximum voted for mentoring to
be moderately effective which was around 45% whereas 36% rated it to be very effective. As less as
7% of the mentees found mentoring to be least effective for the given parameter of Group Interviews.
From the given data one can conclude that mentoring, overall for the parameter Confidence level, was
moderately effective. From these results it can be interpreted that the effect of mentoring is
moderately effective because a good Mentor can boost on the Confidence level of a student
particularly when the student is exposed to a group. Hence an effective guidance of a mentor
regarding, how to stand confident among the rest of the students in a group interview must have
created a good impact on the mentee, hence the maximum rating would have turned out for
Moderately effective.
0
50
100
150
200
250
300
350
400
450
Confidence level
0
1
2
3
Parameters/Score 0 1 2 3
Confidence level 62 (6.8%) 109 (12.1%) 408 (45.3%) 321 (35.6%)
32
For analyzing the second set of objectives, the four EQ parameters (Literacy, Competency,
Values & Beliefs and Outcomes) spread across 16 scales are rated by the respondents and the
responses are translated into their respective performance zones (Optimal, Proficient,
Vulnerable, Cautionary). The respondents at the time of survey have chosen the sector of
their choice mentioned as Expected sector, and after their EQ mapping, the mentors are able
to suggest the sector to the respondents mentioned as Suggested sector. A Frequency cross
tabulation between the Expected sector and the Suggested sector for individual EQ parameter
is taken into consideration for analyses. A Descriptive statistics thus, in form of frequency
cross-tab and percentages, has been used to analyze the scores of the respondents as well as
Inferential statistics has been performed in form of Chi-square test of association to test the
hypothesis, whether there exists any significant difference in the expected sector by the
respondent and the suggested sector by the mentor. (If there exists a significant difference,
one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective, thus
rejecting the Null hypothesis as mentioned in chapter 1) for each EQ parameter using SPSS
19.0 version.
The data analysis for EQ Literacy level has been analyzed and the observations are tabulated
as under:
EQ Literacy Cross tabulation
For the EQ parameter Literacy a cross tabulation has been performed between the suggested
sector and the expected sector for a sample of 900 Business school students. The cross
tabulation table is preceded by the case processing summary.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
EQ Literacy Suggested
sector * EQ Literacy
Expected sector
900 100.0% 0 .0% 900 100.0%
Table 26 : Case Processing Summary EQ Literacy Cross tabulation
Table 26 shows the total number of cases observed and analyzed to be 900, with no cases missing.
33
EQ Literacy Expected sector
Total
BD, Banking,
Insurance,
FMCG, Retail,
Adv
Sales, Product
Development in
Finance or
Telecomm,
Creative in Adv
Research
Profile,
Media,
Design/Dev
p in Auto
Service
Profile, HR,
Proj
Managemen
t, Hsp
EQ Literacy
Suggested sector
Not Sector 1 58 124 104 108 394
BD, Banking,
Insurance,
FMCG, Retail,
Adv
230 112 89 75 506
Total 288 236 193 183 900
Table 27: EQ Literacy Suggested sector * EQ Literacy Expected sector
Crosstabulation
Table 27 shows a Frequency Cross tabulation between the Expected sector Vs Suggested
sector from the EQ Literacy level point of consideration. Its been observed that out of a total
of 900 cases, 32% (288) expects BD/Banking/Insurance/FMCG/retail/Adv sector, 26% (236)
expects Sales/Product development in Finance/Telecomm/ Creative pro in Adv sector, ~21%
(193) expects careers in Research profile, Media, Design &Devp in Auto sector whereas
roughly 20 % (183) expects Service profile, HR, Project Mgmt, Hospitality sector.
43.77% (394) are suggested not to pursue their careers in the
BD/Banking/Insurance/FMCG/retail/Adv sector, whereas 56.22% (506) are suggested the
above mentioned sector (Sector 1).
There are roughly 25% of respondents (230/900) whose expected and suggested sector
matches, whereas the rest of the figures in Table 1 suggest a mismatch between the two, say
112 respondents represents respondents interested in sector 2 (Devp in Finance/Telecom..)
but are suggested Sector 1 (BD, Banking, Insurance…)
34
Hypothesis Testing results for EQ Literacy level
Chi-Square Tests
Value df
Asymp. Sig.
(2-tailed)
Pearson Chi-Square 98.029a 3 .000
Likelihood Ratio 103.702 3 .000
Linear-by-Linear
Association
73.724 1 .000
N of Valid Cases 900
Table28: Hypothesis Testing results: Pearson Chi-Square results for EQ Literacy level
Table 28, shows the Pearson Chi-Square results for the above crosstab, to find out whether
there exists any significant difference in the expected and suggested outcomes. Using SPSS,
the p value found out to be is 0.000. Since this value is less than α = 0.01, the Null
Hypothesis is rejected, which means there exists a significant difference in the expected
sector by the respondent and the suggested sector by the mentor in the EQ Literacy level.
Thus one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective
under the EQ literacy level.
Table29 :Index of Agreement & Strength of Association between EQ Literacy
Suggested * Expected sector
Symmetric Measures
Value
Approx.
Sig.
Nominal by
Nominal
Phi .292 .000
Cramer's V .292 .000
Contingency
Coefficient
.280 .000
N of Valid Cases 900
35
Table 29 shows the index of agreements, as in how strong is the association between the
suggested sector and the expected sector which varies from value of 0 to 1, a Phi & Cramer’s
V of 0.292 or a Contingency Coefficient of 0.280 suggests that the association between the
suggested and expected sector in the EQ Literacy level is weak.
EQ CompetencyCrosstabulation:
For the EQ parameter Competency cross tabulation has been performed between the
suggested sector and the expected sector for a sample of 900 Business school students. The
cross tabulation table is preceded by the case processing summary.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
EQ Competency
Suggested sector * EQ
Competency Suggested
sector
900 100.0% 0 .0% 900 100.0%
Table 30 :Case Processing Summary EQ Competency Cross tabulation
Table 30 shows the total number of cases observed and analyzed to be 900, with no cases
missing.
36
EQ Competency Suggested sector * EQ Competency Expected sector Cross tabulation
Count
EQ Competency Expected sector
Total
BD,
Banking,
Insurance,
FMCG,
Retail, Adv
Sales,
Product
Development
in Finance or
Telecomm,
Creative in
Adv
Research
Profile,
Media,
Design/Dev
p in Auto
Service
Profile, HR,
ProjManage
ment
Hospitality
EQ
Competency
Suggested
sector
Not Sector 2 159 52 100 104 415
Sales/PdtDvp in
Finance or Telecomm,
Creative in Adv
128 185 93 79 485
Total 287 237 193 183 900
Table 31 :EQCompetency Suggested sector * EQ Competency Expected sector
Crosstabulation
Table 31 shows a Frequency Cross tabulation between the Expected sector Vs Suggested
sector from the EQ Competency level point of consideration. It has been observed that out of
a total of 900 cases, 32% (287) expects BD/Banking/Insurance/FMCG/retail/Adv sector, 26%
(237) expects Sales/Product development in Finance/Telecomm/ Creative pro in Adv sector,
~21% (193) expects careers in Research profile, Media, Design &Devp in Auto sector
whereas roughly 20 % (183) expects Service profile, HR, Project Mgmt, Hospitality sector.
46.11% (415) are suggested not to pursue their careers in the Sales/Product development in
Finance/Telecomm/ Creative pro in Adv sector (Sector 2).
There are roughly 20.55% of respondents (185/900) whose expected and suggested sector
matches, whereas the rest of the figures in Table 6 suggest a mismatch between the two, say
128 respondents represents respondents interested in sector 1
(BD/Banking/Insurance/FMCG/retail/Adv sector) but are suggested Sector 2 (Sales/Product
development in Finance/Telecomm)
37
Hypothesis Testing results for EQ Competency level
Chi-Square Tests
Value df
Asymp. Sig.
(2-tailed)
Pearson Chi-Square 76.674a 3 .000
Likelihood Ratio 80.737 3 .000
Linear-by-Linear
Association
1.978 1 .160
N of Valid Cases 900
Table 32 : Hypothesis Testing results: Pearson Chi-Square
results for EQ Competency level
Table 32, shows the Pearson Chi-Square results for the above crosstab, to find out whether
there exists any significant difference in the expected and suggested outcomes. Using SPSS,
the p value found out to be is 0.000. Since this value is less than α = 0.01, the Null
Hypothesis is rejected, which means there exists a significant difference in the expected
sector by the respondent and the suggested sector by the mentor in the EQ Competency level.
Thus one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective
under the EQ Competency level.
Symmetric Measures
Value
Approx.
Sig.
Nominal by
Nominal
Phi .284 .000
Cramer's V .284 .000
Contingency
Coefficient
.278 .000
N of Valid Cases 900
Table 33: Index of Agreement & Strength of Association between EQ
Competency Suggested * Expected sector
Table 33 shows the index of agreements, as in how strong is the association between the
suggested sector and the expected sector which varies from value of 0 to 1, a Phi & Cramer’s
V of 0.292 or a Contingency Coefficient of 0.280 suggests that the association between the
suggested and expected sector in the EQ Competency level is weak.
38
EQ Values & Beliefs (V&B)Crosstabulation:
For the EQ parameter Values & Beliefs a cross tabulation has been performed between the
suggested sector and the expected sector for a sample of 900 Business school students. The
cross tabulation table is preceded by the case processing summary.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
EQ Values & Beliefs
Suggested sector * EQ
Values & Beliefs
Expected sector
900 100.0% 0 .0% 900 100.0%
Table 34: Case Processing Summary EQ V&B Cross tabulation
Table 34 shows the total number of cases observed and analyzed to be 900, with no cases
missing.
EQ Values & Beliefs Suggested sector * EQ Values & Beliefs Expected sector Crosstabulation
EQ Values & Beliefs Expected sector
Total
BD,
Banking,
Insurance,
FMCG,
Retail,
Adv
Sales,
Product
Development
in Finance or
Telecomm,
Creative in
Adv
Research
Profile,
Media,
Design/Dev
p in Auto
Service
Profile, HR,
Proj
Management
, Hsp
EQ Values & Beliefs
Suggested sector
Not Sector 3 161 127 39 91 418
Research Pro, Media,
Design/Devp in Auto
Manuf
126 110 154 92 482
Total 287 237 193 183 900
Table 35: EQ V&B Suggested sector * EQ V&B Expected sector Crosstabulation
39
Table 35 shows a Frequency Cross tabulation between the Expected sector Vs Suggested
sector from the EQ Values & Beliefs level point of consideration. It has been observed that
out of a total of 900 cases, ~32% (287) expects BD/Banking/Insurance/FMCG/retail/Adv
sector, 26% (237) expects Sales/Product development in Finance/Telecomm/ Creative pro in
Adv sector, ~21% (193) expects careers in Research profile, Media, Design &Devp in Auto
sector whereas roughly 20 % (183) expects Service profile, HR, Project Mgmt, Hospitality
sector.
46.44% (418) are suggested not to pursue their careers in the Research Pro, Media,
Design/Devp in Auto Manuf sector (Sector 3), whereas 53.55% (482) are suggested the
above mentioned sector (Sector 3).
There are roughly 17.11% of respondents (154/900) whose expected and suggested sector
matches, whereas the rest of the figures in Table 10 suggest a mismatch between the two, say
126 respondents represents respondents interested in Sector 1 (BD, Banking, Insurance….)
but are suggested Sector 3 (Research Pro, Media, Design/Devp in Auto Manuf …)
Hypothesis Testing results for EQ Values & Beliefs level
Chi-Square Tests
Value df
Asymp. Sig. (2-
tailed)
Pearson Chi-Square 69.818a 3 .000
Likelihood Ratio 74.246 3 .000
Linear-by-Linear
Association
15.638 1 .000
N of Valid Cases 900
Table 36 : Hypothesis Testing results: Pearson Chi-Square results
for EQ V &B level
Table 36, shows the Pearson Chi-Square results for the above crosstab, to find out whether
there exists any significant difference in the expected and suggested outcomes. Using SPSS,
40
the p value found out to be is 0.000. Since this value is less than α = 0.01, the Null
Hypothesis is rejected, which means there exists a significant difference in the expected
sector by the respondent and the suggested sector by the mentor in the EQ V&B level. Thus
one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective under the
EQ V&B level.
Symmetric Measures
Value
Approx.
Sig.
Nominal by
Nominal
Phi .279 .000
Cramer's V .279 .000
Contingency
Coefficient
.268 .000
N of Valid Cases 900
Table 37: Index of Agreement & Strength of Association between EQ V &B Suggested *
Expected sector
Table 37 shows the index of agreements, as in how strong is the association between the
suggested sector and the expected sector which varies from value of 0 to 1, a Phi & Cramer’s
V of 0.292 or a Contingency Coefficient of 0.280 suggests that the association between the
suggested and expected sector in the EQ V&B level is weak.
EQ Outcome Cross tabulations
For the EQ parameter Outcome a cross tabulation has been performed between the suggested
sector and the expected sector for a sample of 900 Business school students. The cross
tabulation table is preceded by the case processing summary.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
41
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
EQ Outcomes Suggested
sector * EQ Outcomes
Expected sector
900 100.0% 0 .0% 900 100.0%
Table 38 :Case Processing Summary EQ Outcome Cross tabulation
Table 38 shows the total number of cases observed and analyzed to be 900, with no cases
missing.
Table 39 :EQ Outcome Suggested sector * EQ Outcome Expected sector Cross tabulation
Table 39 shows a Frequency Cross tabulation between the Expected sector Vs Suggested
sector from the EQ Outcome level point of consideration. Its been observed that out of a total
of 900 cases, ~32% (287) expects BD/Banking/Insurance/FMCG/retail/Adv sector, 26%
(238) expects Sales/Product development in Finance/Telecomm/ Creative pro in Adv sector,
~21% (192) expects careers in Research profile, Media, Design &Devp in Auto sector
whereas roughly 20 % (183) expects Service profile, HR, Project Mgmt, Hospitality sector.
43.77% (413) are suggested not to pursue their careers in the
BD/Banking/Insurance/FMCG/retail/Adv sector, whereas 56.22% (506) are suggested the
above mentioned sector (Sector 1).
There are roughly 16% of respondents (145/900) whose expected and suggested sector
matches, whereas the rest of the figures in Table 14 suggest a mismatch between the two, say
116 respondents represents respondents interested in sector 2 (Devp in Finance/Telecom..)
but are suggested Sector 4 (Service Profile, HR, ProjMgmt,Hospitality…)
EQ Outcomes Suggested sector * EQ Outcomes Expected sector Cross tabulation
42
Table 39 :EQ Outcome Suggested sector * EQ Outcome Expected sector Cross tabulation
Hypothesis Testing results for EQ Outcomes level
Chi-Square Tests
Value df Asymp. Sig. (2-tailed)
Pearson Chi-Square 64.174a 6 .000
Likelihood Ratio 67.767 6 .000
Linear-by-Linear
Association
23.638 1 .000
N of Valid Cases 900
Table 40 : Hypothesis Testing results: Pearson Chi-Square results for
EQ Outcome level
Table 40, shows the Pearson Chi-Square results for the above crosstab, to find out whether
there exists any significant difference in the expected and suggested outcomes. Using SPSS,
the p value found out to be is 0.000. Since this value is less than α = 0.01, the Null
Hypothesis is rejected, which means there exists a significant difference in the expected
Count
EQ Outcomes Expected sector
Total
BD,
Banking,
Insurance,
FMCG,
Retail, Adv
Sales,
Product
Development
in Finance or
Telecomm,
Creative in
Adv
Research
Profile,
Media,
Design/Devp
in Auto
Service
Profile, HR,
Proj
Management,
Hsp
EQ Outcomes
Suggested sector
Not Sector 4 143 122 110 38 413
4
Service Profile, HR,
ProjMgmt,Hospitality
144 116 82 145 487
Total 287 238 192 183 900
43
sector by the respondent and the suggested sector by the mentor in the EQ Outcome level.
Thus one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective
under the EQ outcome level.
Symmetric Measures
Value
Approx.
Sig.
Nominal by
Nominal
Phi .267 .000
Cramer's V .189 .000
Contingency
Coefficient
.258 .000
N of Valid Cases 900
Table 41: Index of Agreement & Strength of Association between EQ Outcome Suggested *
Expected sector
Table 41 shows the index of agreements, as in how strong is the association between the
suggested sector and the expected sector which varies from value of 0 to 1, a Phi & Cramer’s
V of 0.292 or a Contingency Coefficient of 0.280 suggests that the association between the
suggested and expected sector in the EQ Outcome level is weak.
For the purpose of analyzing the effect of mentoring on the sector selection of students, a
qualitative methodology was used to collect data from the mentees after they underwent the
process of mentoring. Discussions with the mentees revealed the following feedback:
No. Feedback of Mentees after mentoring
1 Encouraging & confidence boosting interaction.
2 Great advice for the future. Was highly interactive.
3 Motivational, informative, friendly.
4 Liked interacting with the Mentor & got to know many more things.
5 Good interactive communication, motivational & was given good feedback.
44
No. Feedback of Mentees after mentoring
6 Awesome interaction. Mentor gave a very good feedback and motivated me to give
more than 100% in everything I do. Most important advice- Don’t Not Restrict
Yourself.
7 It was a good session. Got to learn many things about myself.
8 It was a good session, motivational, enthusiastic, and highly interactive and was given
good advice.
9 I found the session very interactive & positive. I found where I was making mistakes
about myself.
10 A good counselling session which brought confidence in me. This 15min session
showed both perspectives i.e. of the interviewer & of the interviewee. Thanks a lot.
11 Would like to have one more session after improvising myself with the inputs.
12 A very good interactive session where I came to know what I need to do to improve
my weakness. Valuable inputs from the interviewer to bring change.
13 Mentor was very quick in understanding what I fear. It was helpful in giving a
direction & made me promise something I have never done before; but in my case it
was a very short session.
14 It wasn’t an interview, rather a friendly conversation; as if interacting with a friend
who was happy to listen to me. Got motivated & cheered to achieve my dream. Thank
you!
15 It was a very good session. I came to know about some weakness which I will try to
improve upon. The best thing I liked was ‘to dream big!’
16 The best interview I have had till date. I am very clear now-where I should proceed in
life. Initially I was nervous about this interview but then it went on so smoothly;
could freely share my feelings.
17 It was a very positive atmosphere to express and quite a learning as well. I got
motivated about my goals & improvements as an individual.
18 I felt so good about knowing my problem. I’ll try to think individually & not be
influenced by others. Felt so good about it!
19 This was a really good experience to interact with the person who had good
knowledge about the field which we are interested in.
45
No. Feedback of Mentees after mentoring
20 Good experience. Gave a clear & appropriate guidance. I would like to have more
sessions like this. Will now be able to focus on my weakness & my qualities.
21 A very comfortable & a relaxing interview. I need to give more time to tackle issues.
Good experience.
22 Mentor gave me wonderful insights of the areas I need to improve upon. Mentor
gave me the guidance to take initiatives & try socializing. The ozone session was very
helpful for me. It was a knowledge & experience gaining session for me.
23 One of the most jovial meetings ever. Extremely pleasant personality to interact with.
Looking forward to meet again.
24 The interaction & suggestions would surely be helpful in my future. I hope to learn
more in the forthcoming 1year of my MBA in marketing & media.
25 Amazing introspection; useful advices which will help me develop me as a human
being. Had a wonderful interaction. Loved it! Thank You!
26 Loved talking to the mentor!!! I thought talking would be difficult but after our
interview started, I wasn’t aware that I was in front of a senior person. Thank you for
the feedback. Will definitely work on it.
27 I learnt that I need to explore more opportunities & be clear about my goals.
28 I learnt about my weaknesses & strengths. This session was helpful. Asked relevant
questions which were very helpful. In all, good interview and interaction
29 Good session. Got some inputs on how to proceed in career. Interviewer kept a
neutral view on my confusion. Good experience, would like to have more such
session further.
30 Quite interactive session. I realized that I need to work on my goals & should make
the steps to achieve the same. I should also work on my weaknesses.
31 Discovery session was helpful to know about my short comings & how to work upon
them to overcome.
32 Quite an interesting & interactive session. Mentor made me more comfortable during
the process; boosted my confidence about my goal & gave advice to be more focused
in whatever I decide.
33 Interactive, motivational, gave good advice; told what things need to do to achieve the
goals.
46
No. Feedback of Mentees after mentoring
34 Great interaction; useful piece of advice.
Interview was good, I got to know on what all things I need to improve and I need to
be more committed towards my goal. It was interacting with sir giving good advice.
35 Had a good conversation. Eye opener to me. Friendly talk.
36 Helped discover where & how I need to set up & achieve my goals. A firm career
path needs to be decided and strictly adhered to.
37 Good advice, nice interaction. Want to have 1 more session with you sir.
38 The session really helped me in understanding the things which are needed to be done
in life.
39 The session was so insightful. There was proper two way communication. This
session gave me in-depth suggestions on my inner self.
40 Had a really good session; was distressing. The interviewer could really connect & I
could actually talk with her. It was really productive. Thank you for a good stress
buster & an advisable session.
41 Came to know strengths & weaknesses. I have identified the loop holes. The feedback
is very useful and I will start working on it
42 It was a good experience. It was more of a personal session. The questions were
mostly concerned with my personal life. After the interview I felt light. I must thank
you for your efforts & guidance.
43 The session was really a warming one. Felt really nice, wherein our mentor would
want to know more about us apart from academics. Would love to have it once again
44 That was an awesome session that relieved me & suggested a very important thing
that is to give sometime to myself & decide gradually about my future. I learnt that
career decisions are to be taken during the course of time & not in a night. Got to
learn about the sector I have to opt for & now I’ll keep an open mind to decide about
the job profile I should go for. Thank You Very Much!
I feel this session was interactive & interesting. I came to know about my weaknesses
& even the things that I have to improve for future. I would like to attend many more
session like this. Thank you.
47
Table 42: Feedback of Mentees after mentoring
Discussion
From the findings and analysis of the data, one can understand the importance and
effectiveness of Emotional Intelligence as a tool for mentoring as it is been observed from
Table No. 3,7,11,15, which represents the Hypothesis Testing results, it has been observed
that for all the EQ parameters (Literacy, Competency, Values & Beliefs and Outcomes), p
value obtained is 0.000 at 1% level of significance which suggests that for all the EQ levels,
Null Hypothesis is rejected, which means there exists a significant difference in the expected
sector by the respondent and the suggested sector by the mentor in all the EQ parameters.
Thus one can conclude that Mentoring with the aid of E.I. as a mentoring tool is effective for
all the EQ levels.
With regards to the feedback of mentees (students) on the mentoring quantitatively, from the
findings and analysis of the data one can interpret on the feedback for mentoring on Group
No. Feedback of Mentees after mentoring
45 The session was a good experience & a reality check for me as I got to know many
deeper insights of myself. Mentor made me realise a few points about myself and the
outside world (i.e. working environment) & helped me gain some knowledge of the
different sectors. All & all it was a good motivating session and hope we have more
sessions like these to develop our personality.
46 The session was interactive, interesting & knowledgeable. I came to know about my
weak points on which I have to work upon. This session will help me to improve my
performance in future. I would recommend having more sessions like this.
47 I enjoyed the session. Finally told about my insides to someone after a long time.
Good to have such session. Will be pleases to deliver the oath taken.
48 I had a very good experience. The session was very interactive. I actually got a gist of
the sectors I was interested in; which helped me think over my choice of sector again.
49 I would like to have more session of mentoring.
50 My interaction with mentor was good. I learnt one thing-‘that I should not restrict
myself with any boundary.’ I should allow myself to do anything.’
48
Discussions (GDs), Discovery Interviews (DIs), Group Personal Interviews, Personal
Interviews (PIs) from their descriptive statistics.
Group Discussion
From these results it can be interpreted that the effect of mentoring is moderately effective
because Group Discussion is many a times turns out to be very chaotic, hence it becomes
difficult for students to participate in the chaos, hence an effective guidance from a mentor
regarding, when and how to participate must have created a good impact on the mentee,
hence the maximum rating would have turned out for Moderately effective.
From these results it can be interpreted that the effect of mentoring is moderately effective
because Group Discussion at one given point of time becomes repetitive and hence brings
boredom, hence an effective guidance from a mentor regarding when and how to contribute
new idea must have created a good impact on the mentee, hence the maximum rating would
have turned out for Moderately effective.
From the given data one can conclude that mentoring, overall for the parameter Building on
other’s ideas, was somewhat effective. From these results it can be interpreted that the effect
of mentoring is somewhat effective because building on other’s ideas mostly is impromptu,
and would require more practice over a period of time, which may not create immediate
impact through Mentoring, though as shown in the graph the percentage of very effective
mentoring for this parameter is slightly higher than that of least effective.
For the parameter, “Disagreeing with respect without being offensive”, as seen from the
above table, maximum voted for mentoring to be somewhat effective which was around 38%
though there was not much difference between somewhat effective and least effective 35%
that may be because of the aggressive nature of the students, to prove their point, beyond a
point of time, they may get offensive and mentoring for disagree with respect may not be
effective at one setting and may require few more mentoring sessions. Hence we find a
subsequent drop in the percentages of mentoring being moderately effective and very
effective.
From the given data one can conclude that mentoring, overall for the parameter, Leading the
group ensuring participation by all, was moderately effective. From these results it can be
interpreted that the effect of mentoring is moderately effective an effective guidance from a
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mentor regarding, when and how to lead and involve all must have created a good impact on
the mentee, hence the maximum rating would have turned out for Moderately effective.
Discovery Interviews
From these results it can be interpreted that the effect of mentoring is moderately effective
because Discovery Interview brings out a lot of unknown facets in a person on surface, which
helps in knowing ones’ personality better. D.I. stands as a mirror, discovering your
personality, hence an effective guidance of a mentor regarding, understanding ones
personality must have created a good impact on the mentee, hence the maximum rating
would have turned out for Moderately effective.
From these results it can be interpreted that the effect of mentoring is moderately effective
because Body Language approximately controls 70% and above of a person’s communication
which is well reflected in the Discovery Interview and thus can be well crafted, hence an
effective guidance of a mentor regarding, understanding ones Body Language must have
created a good impact on the mentee, hence the maximum rating would have turned out for
Moderately effective.
From these results it can be interpreted that the effect of mentoring is moderately effective
because normally a student specially who is a fresher is stressed facing a job interview which
is well reflected in the Discovery Interview and thus can be well crafted. Hence an effective
guidance from a mentor regarding, understanding one’s stress must have created a good
impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
From the given data one can conclude that mentoring, overall for the parameter, Self
Awareness, was moderately effective. From these results it can be interpreted that the effect
of mentoring is moderately effective because Self awareness is a quality which is at the most
reflected in the Discovery Interview and thus can be well crafted. Hence an effective
guidance of a mentor regarding, understanding ones Self Awareness must have created a
good impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
From the given data one can conclude that mentoring, overall for the parameter, Thought
clarity, was somewhat effective. From these results it can be interpreted that the effect of
mentoring is somewhat effective and not moderately or very effective because though clarity
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cannot be imbibed at one setting of mentoring and hence may require few more mentoring
sessions.
From the given data one can conclude that mentoring, overall for the parameter, Verbal
communication, was somewhat effective. From these results it can be interpreted that the
effect of mentoring is somewhat effective and not moderately or very effective because
verbal communication cannot be imbibed at one setting of mentoring and hence may require
more practice on the part of the mentee.
From the given data one can conclude that mentoring, overall for the parameter, Creativity,
was somewhat effective. From these results it can be interpreted that the effect of mentoring
is somewhat effective and not moderately or very effective because creativity cannot be
imbibed at one setting of mentoring and hence may require few more mentoring sessions.
From the given data one can conclude that mentoring, overall for the parameter, Passion, was
somewhat effective. From these results it can be interpreted that the effect of mentoring is
somewhat effective because passion varies from person to person, and it becomes difficult to
mentor a student about being passionate and bring him to the same level of passion as that of
mentor in one setting. Hence it is required that some more mentoring sessions to be
conducted for this parameter.
From the given data one can conclude that mentoring, overall for the parameter, Aggression,
was somewhat effective. From these results it can be interpreted that the effect of mentoring
is somewhat effective because the mentees being predominantly youth, aggression was
something which had to be practised to be controlled over a period of time, which was not
much effective with one setting of mentoring, hence require some more mentoring sessions
for this parameter.
Personal Interviews
From the given data one can conclude that mentoring, overall for the parameter Personality
Impact, was moderately effective. From these results it can be interpreted that the effect of
mentoring is moderately effective because guidance on how to create a strong personal
impact in a personal interview must have created a good impact on the mentee, hence the
maximum rating would have turned out for Moderately effective.
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From the given data one can conclude that mentoring, overall for the parameter Career
Vision, was moderately effective. From these results it can be interpreted that the effect of
mentoring is moderately effective because guidance on how to have a clear career vision for
a personal interview must have created a good impact on the mentee, hence the maximum
rating would have turned out for Moderately effective.
From the given data one can conclude that mentoring, overall for the parameter
Communication, was moderately effective. From these results it can be interpreted that the
effect of mentoring is moderately effective because guidance on how to improve on ones’
basic communication skill in a personal interview must have created a good impact on the
mentee, hence the maximum rating would have turned out for Moderately effective.
From the given data one can conclude that mentoring, overall for the parameter Knowledge,
was moderately effective. From these results it can be interpreted that the effect of mentoring
is moderately effective because an effective guidance of Knowledge with regards to the
concepts and fundamentals or with regards to their summer projects must have created a good
impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
From the given data one can conclude that there was no significant difference in the
percentages mentoring, among moderately effective, somewhat effective and least effective
because General Awareness is a continuous learning process, where in a student has to
constantly upgrade himself with the latest happenings. A mentoring session will only
sensitize the awareness level of general knowledge. Repeat sessions on general awareness
may increase the impact of mentoring for this parameter.
From the given data one can conclude that mentoring, overall for the parameter Confidence,
was moderately effective. From these results it can be interpreted that the effect of mentoring
is moderately effective because an effective guidance of how to boost ones’ confidence in a
personal interview must have created a good impact on the mentee, hence the maximum
rating would have turned out for Moderately effective.
Group Interviews
From the given data one can conclude that mentoring, overall for the parameter Ability to
introduce yourself, was moderately effective. From these results it can be interpreted that the
effect of mentoring is moderately effective because an effective guidance of how to
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introduce yourself among the rest of the students in a group interview must have created a
good impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
From the given data one can conclude that mentoring, overall for the parameter Ability to talk
about your summers, was moderately effective. From these results it can be interpreted that
the effect of mentoring is moderately effective because an effective guidance of how to talk
about your summers with regards to the content, technicalities in summer project among the
rest of the students in a group interview must have created a good impact on the mentee,
hence the maximum rating would have turned out for Moderately effective.
From the given data one can conclude that mentoring, overall for the parameter Knowledge
within area of specialization, was moderately effective. From these results it can be
interpreted that the effect of mentoring is moderately effective because an effective guidance
of knowledge within area of specialization with regards to the concepts and fundamentals
must have created a good impact on the mentee, hence the maximum rating would have
turned out for Moderately effective.
From the given data one can conclude that mentoring, overall for the parameter General
awareness, was moderately effective. From these results it can be interpreted that there is not
much significant difference between moderately effective and somewhat effective, as well as
the percentage of least effective is high compared to other parameters because General
Awareness is a continuous learning process, where in a student has to constantly upgrade
himself with the latest happenings. A mentoring session will only sensitize the awareness
level of general knowledge. Repeat sessions on general awareness may increase the impact of
mentoring for this parameter.
From these results it can be interpreted that the effect of mentoring is moderately effective
because a good Mentor can boost on the Confidence level of a student particularly when the
student is exposed to a group. Hence an effective guidance of a mentor regarding, how to
stand confident among the rest of the students in a group interview must have created a good
impact on the mentee, hence the maximum rating would have turned out for Moderately
effective.
Also, qualitatively, the discussions with the mentees after the mentoring revealed a positive
feedback. Most of them found the mentoring to be interactive, interesting and knowledgeable.
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It was reality check for the students as they got to know many deeper insights of themselves
as well as the workingenvironment helped them gain knowledge of the different sectors.
More importantly the interaction was of a friendly nature, and was a stress buster. The
session was meant to advise the mentee on account of how he needs to set up & achieve his
goals. A session which acted as a mirror in terms of knowing where they stand and could act
as a complete SWOT analysis of themselves. There were suggestive feedbacks also with
respect to how to overcome the weakness. Overall the feedback of the mentoring was quite
satisfactory.