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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue III, March 2026
Unpacking Demographic Influences on Emotional Intelligence
Among Educators of Higher Educational Institutions
Vani Gayathri Rudra
1*
, Swetha Suram
2
1
Research Scholar, Department of Business Management, Mahatma Gandhi University, Nalgonda,
Telangana, 508254, India.
2
Associate Professor, Department of Business Management, Mahatma Gandhi University, Nalgonda,
Telangana, 508254, India.
*Corresponding Author
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150300064
Received: 22 March 2026; Accepted: 27 March 2026; Published: 14 April 2026
ABSTRACT
Emotional intelligence (EI) is increasingly recognised as a key determinant of leadership, teaching effectiveness,
job satisfaction, and stress management in higher education. While prior research largely views EI as a personal
trait, research on socio-demographic influences has received limited attention, particularly in the Indian context.
This study examines differences in EI across age, gender, marital status, experience, employment status, income,
educational qualification, and administrative roles among 106 faculty members from HEI in Telangana. A
descriptive, cross-sectional design was employed, and data were collected using a structured questionnaire.
Findings reveal significant variations in EI by age, experience, employment status, and income, with older, more
experienced, regular employees, and those with higher incomes reporting greater EI. No significant differences
emerged for gender, marital status, education, or administrative responsibility. The study highlights EI as a
dynamic skill shaped by socio-demographic factors, emphasising its importance for implementing emotional
interventions within institutional policies to foster emotional well-being and performance in HEIs.
Keywords: Emotional Intelligence, Socio-Demographic Factors, Higher Education, Faculty, Schutte Self-
Report Emotional Intelligence Test
INTRODUCTION
Emotional intelligence (EI) was defined by Mayer and Salovey (1990) as one’s ability to identify, understand,
and manage one's emotions and those of others. In the last two decades, the importance of EI in organisations
has rapidly emerged at both personal and professional levels across various settings, supporting effective
performance, job satisfaction, self-efficacy, stress reduction, and coping mechanisms.
EI is often regarded as a key factor for the success of individuals and organisations. It is positively associated
with various organisational outcomes. Numerous studies have shown that EI contributes to improved
performance. It has a direct effect on job performance and also a negative effect on job stress (Cheraghi et al.,
2025). EI also significantly enhances job satisfaction, leadership effectiveness, and workplace adaptability (Del
et al., 2018; Deb et al., 2023). Emotionally intelligent leaders exhibit effective leadership behaviours, such as
empathy, strong relationships, and a positive environment (Gómez-Leal et al., 2022). In people-centric
organisations, such as higher education institutions (HEIs), EI becomes crucial, as interpersonal communication,
decision-making, stress coping, and leadership are integral to day-to-day operations.
Faculty members face significant emotional and psychological strain in this fast-paced academic environment,
amid changing demands from higher education organisations. They manage administrative duties, academic
responsibilities, and interactions with peers and students, all while regulating and managing their emotions.
Increased workload, role ambiguity, and emotional demands can lead to stress. In this context, EI becomes
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important. EI promotes effective interpersonal relationships, social skills, empathy, and informed decision-
making for academic leaders.
Additionally, mental health concerns among faculty can also be reduced through EI. Individuals with EI are less
likely to experience stress (Mérida-López et al., 2022), which helps them cope with stress. The use of EI
enhances adaptive stress-coping behaviours in demanding situations (Jooste et al., 2023; ez-Delgado et al.,
2023)
Leaders in HEIs manage diverse teams and sensitive student issues, and they experience considerable pressure.
Leaders with high EI demonstrate transformational leadership styles to motivate, foster collaboration, promote
inclusiveness, and support emotional well-being in the workplace (Singh et al., 2021). They excel at inspiring
and influencing colleagues while demonstrating resilience and empathy in the face of challenges. Many studies
have examined EI in organisations, including HEIs. EI improves teachers' well-being and job satisfaction
(Pandey & Sharma, 2024).
Additionally, it boosts self-efficacy, helping individuals believe in their ability to perform tasks. Those with high
EI tend to feel more competent and confident in their work, maintaining emotional control, focus, and motivation
even in difficult situations. (Pool & Qualter, 2012).
Moreover, academic professionals are highly susceptible to psychological stress resulting from workloads,
deadlines, administrative tasks, and shifts in student expectations. The ability to face challenges depends on
technical and cognitive skills, as well as emotional abilities. EI components, including self-awareness, emotional
regulation, and adaptive coping mechanisms, enable individuals to manage stressors effectively. EI not only
helps to reduce burnout but also helps overall mental health (Kaur, 2024; Suram et al., 2025)
Despite extensive literature on the benefits of emotional intelligence in organisational life, few studies examine
how socio-demographic factors such as age, gender, marital status, income, and experience relate to EI.
Understanding the relationships among these demographic factors is essential, as they influence how each person
develops, regulates, and uses EI competencies in their professional lives. The present research examines
differences in EI scores across socio-demographic factors among faculty members in higher education. By
examining this, the study aims to determine whether demographic factors, such as age, gender, and employment
status, influence the difference in EI scores.
The significance of this study lies in helping higher education institutions identify targeted development and
training interventions that account for demographic factors. By understanding the relationship between EI and
demographic factors, institutions can create more support and development initiatives, improving organisational
effectiveness and individual well-being.
LITERATURE REVIEW
Emotional intelligence (EI) was first defined by Mayer and Salovey (1990) as a type of social intelligence
characterised by the ability to perceive one’s own and others' emotions, understand them, and utilise these
emotions to make informed decisions. Later, the concept of EI was popularised by Daniel Goleman. He has
expanded it to five important components: self-awareness, self-regulation, motivation, empathy, and social
skills. In people-centric professions like teaching, recognising and managing emotions is essential for
interpersonal effectiveness and the organisation's overall well-being.
Three primary models of emotional intelligence have emerged over the past few decades. They are the ability
model, as given by Mayer, Salovey, & Caruso (2004), and the trait model, as proposed by Petrides & Furnham
(2010). The ability model treats EI as a cognitive ability involving four domains: perception of emotions,
understanding of emotions, utilisation of emotions, and management of emotions. This model utilises emotional
intelligence as a measure of IQ and is used for performance-based assessments. It involves knowing and utilising
emotional knowledge to enhance cognitive processes and decision-making. This model is grounded in the belief
that EI is a measurable form of intelligence and can be improved through training and cognitive engagement.
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The Goleman (1998) mixed model combines cognitive abilities with social and emotional competencies. The
model consists of five competencies that contribute to workplace success. Goleman states that these traits are
critical for effective leadership and achievement in emotionally demanding work environments. The model is
popular in organisational settings, particularly for developing emotional competency and leadership.
The trait model, conceptualised by Petrides & Furnham (2001), is used in this context. He states that EI is an
individual's personality rather than abilities. This model examines how one perceives one's emotions and how
they affect behaviour and responses. Trait emotional intelligence includes assertiveness, adaptability and self-
efficacy. The model highlights the subjective experiences and role of one’s personality in the functioning of
emotions.
Although the three models have different theoretical bases, they agree that emotions significantly impact how
individuals think, behave, and maintain interpersonal relationships. Each model contributes to EI research,
providing valuable insights for application across various settings, including the workplace and higher education
institutions.
Emotional Intelligence in Higher Educational Institutions:
Emotional intelligence (EI) has become a central focus in HEIs as they have realised that success requires
cognitive skills and the capacity to understand, manage, and use emotions effectively. Faculty members in HEIs
are expected to manage teaching, academic research, mentoring, and administration within ever-changing
institutional structures. These responsibilities often require a high level of empathy, effective communication,
and emotional regulation. Emotionally intelligent teachers are often better at building trust, creating a learning
environment, engaging and setting interpersonal behaviours. According to various studies, EI improves
leadership abilities, job satisfaction, stress management and teaching effectiveness in academic settings.
Emotionally intelligent teachers create and support a learning environment that motivates and engages students.
EI abilities are utilised in their teaching practices, including empathy for students' feelings, fostering engagement
by actively involving students, maintaining emotional connections, and self-regulation (Mamat & Ismail, 2021).
Additionally, Mortiboys (2013) states that, rather than focusing on cognitive development, successful teaching
requires the ability to identify and respond to learners' emotional states. However, the Traditional focus of
education policy and practice is criticised by Humphrey for ignoring the important role emotions play in learning.
According to the study, EI training should be integrated into teacher development programs to fulfil students'
holistic needs (Humphrey et al., 2007).
Emotional intelligence also significantly affects leadership and organisational efficiency, extending beyond the
classroom. Emotionally intelligent leaders foster a positive environment where teachers and students thrive and
enhance their interpersonal relationships. Enabling EI in higher education fosters collaboration, enhances
conflict resolution, and facilitates students' adaptation to institutional changes. In this context, integrative EI
does support both the individual and the organisation (Vandervoort, 2006). EI leaders build trust, facilitate
knowledge sharing, and foster synergy within teams, thereby promoting organisational learning and creativity.
EI enables collective capability, enabling institutions to match personal beliefs with the organisation's vision
(Lazovic, 2012). EI fosters a collaborative atmosphere, increases job satisfaction, and contributes to
organisational growth. Leaders who practice EI are more likely to influence, motivate and maintain a healthy
culture (Patra, 2004)
Some studies also suggest that HEIs rely on intellectual skills and emotional competencies to achieve better
productivity and foster a positive collaborative environment. EI should be viewed as an individual outcome and
a dynamic process integrated in the organisation, facilitating adaptability, learning and strategic responsiveness
(Huy, 1999). EI benefits staff, faculty, and students in HEIs. High EI levels are associated with strong self-
directed learning, which enhances performance, personal growth and satisfaction in university. In particular,
students who effectively understand and regulate their emotions are more active, persistent, and reflective in
learning; this helps them achieve their goals and also assists in developing life skills, such as time management,
effective communication, and problem-solving (Zhoc et al., 2018). EI competencies, such as self-awareness,
empathy, and emotional regulation, serve as protective factors that help students maintain focus, engage, and
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adapt to change during a crisis like COVID-19, when they must manage virtual learning and stress. EI training
is important to integrate into their curriculum to increase resiliency and adaptability to deal with change and
uncertainty (Warrier et al., 2021)
Emotional intelligence also supports educators' well-being. EI has a positive relationship with job performance,
and the dimensions of EI, including self-regulation, self-awareness, motivation, and social skills, help teachers
manage stress more effectively, increase their job satisfaction, and enhance their job performance (Mohamad &
Jais, 2016). EI acts as a buffer against burnout. EI helps educators maintain mental stability and psychological
well-being. Teachers with self-regulation are less likely to experience exhaustion and depersonalisation,
suggesting that EI protects against these experiences in high-pressure situations (Bocheliuk et al., 2021). EI acts
as a protective factor against psychological stress in demanding educational settings. Although EI generally
fosters well-being, regulating negative emotions can have physiological consequences if self-care is unbalanced.
This highlights the importance of EI for growth and suggests that organisations should support faculty in
developing and maintaining EI competencies to enhance educators' physical and mental well-being (Cheng &
McCarthy, 2018).
Emotional intelligence has become more widely recognised at institutional levels, helping improve
organisational creativity and resilience. EI components, such as empathy, emotion management, and effective
communication, are highly beneficial to knowledge-based organisations, such as HEIs. In this context, EI acts
not only as an individual trait or outcome but also as an evolving process that promotes organisational
development and adaptability (Hess & Bacigalupo, 2010). Some also argue that EI is essential for maintaining
performance in times of crisis, as it empowers employees to handle change with greater confidence and
adaptability (Chrusciel, 2006)
The use of EI components, including self-awareness, self-management, and relationship management, not only
strengthens employees with opportunities to grow, but also increases organisational growth, and increases
engagement, improving decision making (Hess & Bacigalupo, 2011)
Finally, the research demonstrates that EI is a fundamental ability that benefits not only individuals but also
students, teachers, and institutions. Teachers with EI are more effective at managing classroom dynamics,
engaging students, and adapting to their needs. Leaders with good EI foster trust and collaboration that support
innovation and the institution's growth. This makes EI an important factor in supporting students and leadership
development. As higher education transforms in response to technological disruptions and societal shifts, Ei
provides a way to create more flexible, inclusive and successful institutions.
Demographics and Emotional Intelligence
In education, among teachers and early-career academics, Emotional Intelligence is crucial for promoting both
personal and student success. It has been found that the social and economic competencies, perceptions,
understandings, and emotional regulation of infant and primary school teachers are influenced by socio-
demographic and work-related factors, including age, gender, number of children, teaching level, and
administrative roles (Arteage et al., 2022).
EI has a positive relationship with leadership effectiveness in both males and females, indicating that EI
contributes to leadership behaviours regardless of gender (Singh, 2007). A study showed that older individuals
tend to score high in EI due to life experiences and emotional maturity, and the study even revealed that
contextual factors moderate this relationship (Gautam & Khurana, 2019). Women often showed high empathy
and emotional regulation, while age and work experience positively correlated with emotional maturity and self-
management. This shows that EI develops with experience and differs in gender (Tetteh Tetteh et al., 2021)
However, the findings are not always the same. It was found that there is no significant difference in EI between
age and gender among early-career academics, highlighting that contextual factors, such as culture and
professional norms, moderate the relationship (Marembo & Chinyamurindi, 2018). Significant studies also found
that EI positively affects psychological well-being, leadership effectiveness, performance, academic
achievement, and adaptability in higher educational institutions. However, the impact of demographic factors on
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faculty and staff EI has been relatively underexplored. Studies have frequently shown EI as an individual trait
or a teachable skill, without examining how demographic variables, such as age, gender, marital status,
education, employment status, income, and administrative position, are connected with EI. Although the studies
explored demographics and EI across corporate, school, and clinical settings, the findings are not extended to
higher education institutions, particularly in non-Western contexts.
Objectives of the study:
1 To measure the Emotional Intelligence of faculty members of Higher Educational Institutions
2 To study the difference in Emotional Intelligence across various socio-demographic factors of faculty
working in Higher Educational Institutions.
By addressing these objectives, this study aims to fill a literature gap by demonstrating the significance of socio-
demographic factors in faculty members' EI in higher education institutions. Additionally, the study aims to
provide new insights that help institutions design targeted professional development initiatives to enhance the
overall well-being of faculty and the organisation.
RESEARCH METHODOLOGY
This study employed a quantitative, cross-sectional research design to examine the relationships between EI and
socio-demographic variables among faculty members in an HEI. Data were collected from 106 faculty members
working in public higher education institutions in the state of Telangana. It includes state universities and
affiliated government colleges. A structured questionnaire with two sections is used to collect data. Section I
included questions on demographic variables to measure socio-demographic information, such as age, gender,
marital status, experience, education, income, and administrative role. In section II of the questionnaire, Schutte's
self-report Emotional Intelligence Test (SSEIT) measures emotional intelligence (Schutte et al., 1998). The
SSEIT is chosen for its proven validity and reliability in assessing EI across contexts, and it is assumed that
participants will answer the self-report honestly. We have simplified the scale with simple words without
changing the essence.
The sample for data collection is drawn using convenience sampling, as it provides initial
insights into the demographics and EI in higher education.
The collected data is analysed using the software Statistical Package for Social Sciences (SPSS) version 21.
Descriptive statistics summarise the sample demographics and EI scores, including mean, standard deviations,
and frequencies. The mean differences between socio-demographic variables and EI scores are examined using
one-way ANOVA and independent-samples t-tests. To identify differences between groups, Post hoc tests were
conducted, with p < 0.05 considered significant.
FINDINGS
This section presents the studys findings, including demographic frequencies, the scale's reliability, and
ANOVA and t-test results, highlighting mean differences in emotional intelligence scores and socio-
demographic variables.
Table 1: Socio-Demographic frequency distribution of the faculty working in higher education.
S No
Particulars
Frequency
Percentage
1.
Age
< 30years
9
8.5%
30 to 45 years
67
63.2%
45 to 60 years
30
28.3%
2.
Gender
Male
43
40.6%
Female
63
59.4%
3.
Marital Status
Married
94
88.7%
Single
12
11.3%
4.
Education
Post graduate
58
54.7%
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Ph.D.
48
45.3%
5.
Employment Status
Regular
57
53.8%
Part-Time
49
46.2%
6.
Experience
Less than 2
6
5.7%
2 to 10 years
37
34.9%
More than 10
63
59.4%
7.
Income
Less than 5
42
39.6%
5 to 10
28
26.4%
More than 10 lakhs
36
34%
8.
Administrative
responsibilities
No
53
50%
Yes
53
50%
Table 1 above shows the study's frequency distribution of demographic factors. The sample comprises 106
faculty members working in higher education institutions. The age of the participants shows that the majority,
63% (n = 67), are between 30 and 45 years old, 28.3% (n = 30) are between 45 and 50 years old, and 8.5% (n =
9) are under 30 years old. Regarding gender, 59.4% (n = 63) are females, and 40.6% (n = 43) are males. It also
shows that 88.7% (n = 94) of the members are married, while 11.3% (n = 12) are single. Additionally, for
educational qualifications, 54.7% (n = 58) hold a postgraduate degree, and 45.3% (n = 48) have a PhD. In the
study, 53.8% (n=57) of the participants are full-time or regular faculty, whereas 46.2%(n=49) are contract or
part-time faculty. Regarding job experience, most participants have over 10 years of experience, with 59.4% (n
= 63), 34.9% (n = 37) having between 2 and 10 years, and only 5.7% (n = 6) having less than 2 years of
experience.
The participants' income levels showed that 39.6% (n=42) earned less than five lakhs, 26.4% (n=28) earned
between five and ten lakhs, and 34% (n=36) earned more than ten lakhs. Finally, faculty reported that 50% (53)
hold administrative responsibilities, showing that many of the sample are in leadership roles. Overall, the
demographics revealed that the sample primarily consists of regular employees, with equal representation by
gender, educational qualification, and experience. These factors provide context for interpreting differences in
EI across the factors.
After collecting the data, a reliability test is conducted on the 33 Schutte Self-Report Emotional Intelligence
Scale (SSEIS) items. The test result shows that Cronbach's alpha is 0.93, which exceeds 0.7, indicating strong
internal consistency in measuring EI scores. This indicates that SSEIS is effective in measuring EI.
Table 2: Cronbach’s Alpha test
No of items
33
The overall EI scores of 106 faculty members working in higher education institutions are measured by SSEIS,
ranging from 65 to 160, with a mean score of 127.9 (SD = 19.26). This shows that participants have shown high
EI scores, as shown in Table 3.
Table 3: Descriptives of Schutte Emotional Intelligence Scale
Emotional Intelligence
N
Mini
Max
Mean
Std. Deviation
Valid N
106
65.0
160.0
127.896
19.2616
Table 4 presents the item-level descriptive statistics of the Schutte Emotional Intelligence Scale. The SSEIS
items indicate that most individuals have reported high EI scores on a five-point Likert scale. The mean of the
33 items ranged from 2.94 to 4.31, showing that participants promote EI behaviours. The highest means are for
the items “use of positive emotions to generate new ideas (M = 4.31, SD = 0.90) and “in positive solving
problems are easy” (M = 4.27, SD = 1.02). In contrast, items related to difficulty in understanding others’
emotions, why people feel the way they do, showed lower means (M=2.94, SD=1.17)
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Table 4: Descriptive statistics of the item-level Schutte emotional intelligence scale
S No
Item
N
Mean
Std. Deviation
1.
I am aware when to share my own difficulties with others.
106
3.972
.9202
2.
When I face problems, I recall similar past experiences
and how I overcame them.
106
3.991
.9309
3.
I feel that I will succeed in most of my attempts, I try.
106
4.047
.9399
4.
People feel easy to tell in me.
106
3.708
1.0776
5.
I find it challenging to interpret other people's nonverbal
cues.
106
3.500
1.1972
6.
Major life events helped me to re-examine what is truly
significant and what is not.
106
4.094
1.0284
7.
I see novel potentials when my mood changes.
106
4.085
.9574
8.
Emotions make my life worth living.
106
4.009
.9411
9.
As I experience emotions, I am aware of my emotions.
106
4.057
1.0675
10.
I expect positive things to happen.
106
4.132
.9569
11.
I like sharing my emotions with others.
106
3.009
1.1505
12.
I know how to last a confident emotion as I understand it.
106
3.943
.9742
13.
I organise events that others enjoy.
106
3.509
1.0533
14.
I pursue actions that make me glad.
106
4.009
.8890
15.
As I send messages to others, I am conscious of the non-
verbal messages I convey.
106
3.906
1.1425
16.
I present myself in a way that leaves decent imprint on
others.
106
3.575
1.1460
17.
When I am in confident mood, problem-solving is easy.
106
4.274
1.0192
18.
I recognise the emotions of others by looking at their
face.
106
4.047
1.1074
19.
I understand why my emotions change.
106
4.170
.9408
20.
Being in confident mood helps me generate new ideas.
106
4.311
.8983
21.
I regulate my emotions effectively.
106
3.547
1.1052
22.
I can easily recognise my emotions as they arise.
106
4.066
.8758
23.
By visualising positive outcomes for my tasks, I motivate
myself.
106
3.953
1.0271
24.
I give compliments when others do something well.
106
4.217
.9857
25.
I am conscious of non-verbal messages sent by others.
106
3.651
1.1956
26.
When someone shares about an important life event, I
almost feel as if it has happened to me.
106
3.792
1.1103
27.
I tend to arise with new ideas when there is change in my
emotion.
106
3.934
1.1487
28.
When I face challenge, I tend to give up as because I
expect I fail.
106
3.755
1.2785
29.
By observing others, I understand what people feel.
106
3.396
1.1521
30.
When others are feeling down, I help them to feel better.
106
4.189
.9672
31.
I use positive dispositions to help myself keep trying in
times of facing difficulties.
106
3.858
.9405
32.
By listening to their voice, I can tell how people are
feeling.
106
3.745
1.0425
33.
I find it hard to know why people sense the way they do.
106
2.943
1.1697
To examine the differences between Emotional Intelligence scores and demographic variables, ANOVA and t-
tests were conducted. Table 5 below presents the results of the ANOVA conducted on the demographic variables
Age, Experience, and Income level, along with EI scores.
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Table 5: ANOVA test of socio-demographic variables and emotional intelligence scores
S No
Particulars
N
Mean (SD)
source
Sum of
Squares
df
Mean
Square
f
p
1.
Age
<30 years
9
115.00
(34.7)
Between
Groups
2416.71
2
1208.36
3.406
.037*
30to 45 years
67
127.19
(17.55)
Within
Groups
36539.14
103
354.75
45 to 60
years
30
133.33
(15.04)
2.
Experience
<2 years
6
121.67
(28.33)
Between
Groups
2360.91
2
1180.46
3.323
.040*
2 to 10 years
37
122.27
(21.41)
Within
Groups
36594.95
103
355.29
>10 years
63
131.79
(16.11)
3.
Income
<5 lakhs
42
122.29
(23.97)
Between
Groups
2397.32
2
1198.66
3.377
.038*
5 to 10 lakhs
28
129.54
(16.27)
Within
Groups
36558.54
103
354.94
>10 lakhs
36
133.17
(12.93)
Age
The one-way ANOVA revealed a statistically significant difference between EI scores and age groups, F(2,103)
= 3.406, p = 0.037. The results of the Tukey post Hoc comparison showed that individuals in the age group
below 30 years had lower mean EI scores (M = 115.00, SD = 34.7), while individuals in the age group between
45 and 60 years had higher EI scores (M = 133.33, SD = 15.0). This shows that EI increases with age.
Income
The AVOVA test revealed a significant difference in the mean between income and EI scores, F(2, 1.3) = 3.377,
p = 0.38. Participants with an income of less than five lakhs showed a lower mean EI score (M = 122.29, SD =
24.0) than those with an income of more than 10 lakhs (M = 133.17, SD = 12.9). This indicates that low income
is associated with low EI. However, earnings partially overlap with both low- and high-income levels.
Experience
Experience also showed a significant difference in EI scores, F(2, 103) = 3.323, p = 0.040. Participants with less
than 2 years of experience had a lower mean EI score (M = 121.67, SD = 28.3), whereas those with more than
10 years of experience had a higher mean EI score (M = 131.79, SD = 16.1). This shows that EI grows with
experience.
Finally, the ANOVA test findings revealed significant differences in EI scores and socio-demographic variables,
including age, experience, and income level. The 40-60 age group, individuals with more than 10 years of
experience, and those with an income of more than ₹ 10 lakhs showed higher EI scores.
An independent-samples t-test was conducted to examine mean differences in EI scores across gender, marital
status, educational qualification, employment status, and administrative position.
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Table 6: t-test of socio-demographic variables and Emotional intelligence
S No
particulars
N
Mean (SD)
T(df)
P
Mean difference (95% CI)
1.
Gender
Male
(n=43)
125.12(21.89)
-1.176
(75.61)
0.243
-4.68
(-12.22, 3.25)
Female
(n=63)
129.79(17.16)
2.
Marital status
Married
(n=94)
128.96
(17.16)
1.024
(11.87)
0.326
+9.37
(-10.60, 29.35)
Single
(n=12)
119.58(31.12)
3.
Education
Post
graduate
(n=58)
125.71
(20.09)
1.290
(104)
0.200
4.83
(12.26, 2.59)
Ph.D.
(n=48)
130.54
(18.07)
4.
Employment
status
Regular
(n=57)
131.46
(13.69)
2.007
(74.33)
0.048
+7.70 (0.06, 15.35)
Part-
time/contract
(n=49)
123.76
(23.67)
5.
Administration
responsibilities
No
(n=53)
125.08(22.53)
-1.517
(90.60)
0.133
-5.64
(-13.016,1.75)
Yes
(n=53)
130.72(15.02)
Gender
For gender, female respondents showed higher EI scores than males (M = 129.79, SD = 17.16); however, the
difference between males' and females' EI scores was not statistically significant, t(75) = -1.176, p = 0.243.
Marital status
For marital status, married respondents had higher EI scores than single (M=128.9, SD=17.16), but the mean
difference is not statistically significant t (11.87) =1.024, p=0.325)
For educational qualification, participants with a PhD degree showed higher EI scores than participants having
postgraduate (M=125.71, SD=20.09), but the difference is found to be not statistically significant, t (104) =-
1.290, p=0.200
Employment status
The results for employment status showed a difference in EI scores between regular and part-time/contract
employees. The mean difference of 7.70 is statistically significant, with an interval ranging from 0.06 to 15.35,
indicating that individuals with regular employment tend to have higher EI levels than those with part-time
employment.
Administrative responsibilities
Finally, participants holding administrative responsibilities have a slightly higher EI score than those without
any responsibility (M=130.72, SD=15.02), but the difference is also not significant, t (90.60) = -1.517, p=0.133
The t-test findings revealed no significant difference in EI scores across socio-demographic factors, gender,
marital status, educational qualification and administrative positions. Meanwhile, the test revealed a statistically
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significant difference in EI scores between regular and part-time employees, with regular employees scoring
higher than part-time or contract faculty members.
DISCUSSION
This study examines differences in EI scores across socio-demographic factors among faculty members at higher
education institutions. The results revealed significant differences in age, income, employment status,
experience, and EI scores. Notably, participants aged 40 to 60 years had higher EI scores than those aged 30 or
younger. Some studies have shown that life experiences and professional growth, which help individuals
recognise, understand, regulate, and use emotions, contribute to EI (Fariselli et al., 2008). The relationship
between higher income levels and higher EI scores is due to greater professional development opportunities and
higher job satisfaction among senior faculty (Rode et al., 2017). The relation between greater work experience
and higher EI scores suggests that longer experience leads to the development of emotional competencies
(Shipley et al., 2010). Additionally, Regular employees have shown higher EI than part-time faculty. Studies
show that this is because their employment status influences EI scores due to job security, consistent
organisational support, and regular income, which help increase emotional abilities (Ealias & George, 2012).
Over the last two decades, many higher education institutions have relied on contractual and part-time faculty
rather than permanent positions. This may be due to market flexibility or a cost-reduction strategy. As part-time
and contractual faculty perceive themselves as peripheral within the institution, they engage in maintaining
deeper connections or relations within the organisation. They are also given a heavy workload, lower income,
and limited in decision-making, which also leads to psychological strain and stress among employees.
However, the study found no statistically significant differences in emotional scores or socio-demographic
factors, including gender, marital status, education, and administrative roles. The findings contrast with those of
other studies, which show that males tend to have higher EI than females (Ahmad et al., 2006; Suram et al.,
2025). Married individuals showed higher EI scores than unmarried, divorced or remarried individuals (Madahi
et al., 2013). Faculty with a PhD scored higher in EI, likely due to greater job satisfaction (Ahmed, 2015).
Additionally, Individuals with administrative or leadership positions tend to have higher EI levels, as it is a key
factor in building trust and enhancing performance (Gómez-Leal et al., 2022).
One possible reason for the absence of differences in gender, marital status, education, and administrative
responsibilities may be differences in the cultural context of HEIs, as noted by Mayya, S. et al. (2021). The
findings suggest that having a formal degree or having responsibilities does not enhance EI. Finally, the results
suggest that EI is not just a trait or ability that can be taught in isolation. However, it is a dynamic collection of
abilities influenced by socio-demographic factors. The relation found underscores the significance of socio-
demographic factors in the development of emotional abilities.
The findings also have practical and policy implications. Higher educational institutions seeking to improve the
effectiveness, well-being and organisational environment can implement targeted development programs.
Particularly for young and less experienced staff, training interventions can be implemented to develop
adaptability, regulation, empathy, and emotional awareness. Additionally, the competencies of individuals in
administrative roles should be developed to support and foster a collaborative environment.
Limitations
The study is not an exception to limitations. Due to its cross-sectional nature, only causal links between EI and
socio-demographic factors are drawn. Participants may overestimate their emotional intelligence, and the use of
self-report questionnaires may lead to bias. Lastly, the sample is restricted to public HEIs in Telangana state and
limited to contextual factors, though it includes diverse participants.
Future directions
Few studies have examined the underlying mechanism by which EI works. Longitudinal and experimental
research is required to understand the evolution of EI competencies and their interactions with demographic and
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cultural factors. There is a need to consider examining how EI evolves over the academic career, and a qualitative
approach should be explored to gain richer insights into the lived experiences that contribute to EI. Comparative
studies among public and private institutions, as well as across different cultural contexts, should be conducted
to understand how demographic and organisational factors impact and shape EI, and how they should be
incorporated into policies that need to be addressed.
CONCLUSION
According to the study, the emotional intelligence of faculty in higher education is significantly predicted by
age, experience, employment status and income level. However, no relation is found between EI and
demographic variables, such as gender, marital status, education, and administrative role. These findings show
that EI is developed through personal and professional experiences and is not uniformly distributed across
groups. This study highlights the role of demographic factors in enhancing EI and treats it as a dynamic ability
rather than a fixed trait. The findings suggest target training programs to enhance EI, particularly in young and
newly joined faculty. This helps individuals improve their interpersonal relations, strengthen their well-being,
and foster successful educational institutions. It also helps develop a positive organisational culture that enables
teachers and students to understand how demographic and contextual factors influence EI.
Declaration:
All authors declare that they have no conflicts of interest.
ACKNOWLEDGEMENT
Vani Gayathri Rudra is a recipient of the ICCSR (Indian Council of Social Science Research) Doctoral
Fellowship. This paper is an outcome of her Doctoral thesis sponsored by ICSSR. However, the responsibility
for the facts stated, the opinions expressed, and the conclusions drawn is that of all authors.
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