ORIGINALARTICLE  
FACTORS INFLUENCING POSTGRADUATE STUDENTS’ ACADEMIC PERFORMANCE: A  
QUALITATIVE STUDY  
Brekhna Jamil1, Mahak Shaheen2, Nowshad Asim3, Munir Ahmad Khan2, Munazza Baseer2  
How to cite this article  
ABSTRACT  
OBJECTIVES  
Jamil B, Shaheen M, Asim N, Khan  
MA, Baseer M. Factors Inuencing  
Postgraduate Students’ Academic  
Performance: A Qualitative Study. J  
Gandhara Med Dent Sci.2026;13(2):  
This study aimed to explore factors aecting academic performance among  
postgraduate students.  
METHODOLOGY  
A qualitative study using a grounded theory approach was conducted from  
May to October 2024 at Khyber Medical University, Peshawar. Twelve  
postgraduate students from various academic programs were recruited  
through purposive sampling. Data were collected through semi-structured  
Zoom interviews and analyzed using deductive thematic analysis, following  
Braun and Clarke’s approach and guided by Tinto’s theoretical framework.  
Strategies, including member checking and reexive memoing, were  
employed to ensure credibility.  
12-17  
Date of Submission: 29-10-2025  
Date Revised:  
Date Acceptance:  
03-03-2026  
06-03-2026  
1Professor of Medical Education,  
Institute of Health Professions  
RESULTS  
Five major themes emerged from the analysis: academic performance  
trajectory, prior academic background, motivation and personal attributes,  
academic workload and challenges, and institutional and peer support.  
Participants reported two main academic patterns: initial success followed  
by academic decline and initial challenges followed by gradual improvement.  
Factors facilitating academic success included peer support, motivation,  
structured coursework, and eective time management. Conversely,  
challenges such as complex research requirements, family responsibilities,  
commuting diculties, and heavy workload negatively aected academic  
performance.  
Education & Research, Khyber Medical  
University, Peshawar  
2MHPE Scholar, Institute of Health  
Professions Education & Research,  
Khyber Medical University, Peshawar  
Correspondence  
3Nowshad Asim, Assistant Professor,  
Department of MedicalEducation,  
Institute of Health Professions  
Education &Research, Khyber Medical  
University,Peshawar  
CONCLUSION  
Postgraduate academic performance is shaped by a dynamic interaction of  
personal, academic, social, and institutional factors, consistent with Tinto’s  
student integration framework. Strengthening institutional support systems,  
mentorship, and peer learning environments may enhance postgraduate  
student engagement, academic success, and retention.  
:
:
+92-300-5898407  
KEYWORDS: Postgraduate Education, Academic Performance, Student  
Retention, Tinto Model, Qualitative Research, Higher Education  
INTRODUCTION  
Academic performance is a key indicator of success in  
outcome-oriented frameworks, emphasizing measurable  
competencies and accountability for training outcomes.²  
Longitudinal tracking of students’ educational progress  
postgraduate medical education, reecting learners’ has therefore become essential for understanding how  
ability to acquire, integrate, and apply advanced competencies develop over time and for informing  
knowledge and clinical skills required for professional evidence-based educational policies and standards.3,4  
practice. The primary goal of medical education is to Multiple interacting factors inuence academic  
develop competent physicians who possess strong performance in postgraduate medical education.  
cognitive abilities, critical thinking skills, and Traditional predictors such as preclinical and clerkship  
professional attributes necessary to respond eectively grade point averages, written examination scores, and  
to evolving healthcare demands and scientic  
advancements.¹ In recent years, medical education has  
clinical assessments have long been used to estimate  
,
future professional success.⁵ ⁶ However, growing  
increasingly  
shifted  
toward  
competency-based,  
evidence suggests that non-cognitive attributes,  
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J Gandhara Med Dent Sci  
12  
Factors Inuencing Postgraduate Students’Academic  
including motivation, resilience, personality traits, and the study seeks to provide evidence that can inform  
professional behaviors, also play an important role in educational policies, improve institutional support  
shaping educational and clinical outcomes.⁷ Despite  
their recognized importance in developing empathetic  
systems, and ultimately enhance academic success and  
professional development among postgraduate medical  
and competent physicians, medical curricula often lack trainees.  
structured approaches to nurture these competencies  
METHODOLOGY  
among learners systematically.⁸ Academic performance  
is increasingly recognized as  
a
multidimensional  
This qualitative study was conducted from May 2024 to  
October 2024 at Khyber Medical University, Peshawar.  
Ethical approval was obtained from the KMU-IHPER  
construct inuenced by the interaction of personal,  
educational, institutional, and socio-environmental  
factors. Personal factors include cognitive abilities,  
motivation, self-regulation, and time management  
skills. Educational factors relate to curriculum design,  
instructional quality, mentorship, and access to learning  
resources. Institutional inuences encompass the  
broader learning environment, organizational policies,  
and availability of academic support services.  
Additionally, socio-environmental conditions such as  
family support, peer interactions, nancial pressures,  
and work-life balance can substantially aect students‘  
learning experiences and academic outcomes.⁹ Despite  
recognition of these diverse inuences, the existing  
literature remains inconclusive about the relative  
contributions of cognitive and non-cognitive factors to  
academic success. Some studies report signicant  
Ethical  
Review  
Board  
(Ref.  
No.  
1-  
11/IHPER/MHPE/KMU/24-05,  
dated 09-10-2024).  
Written informed consent was obtained from all  
participants prior to data collection. A total of 12  
postgraduate students (male and female) enrolled in  
postgraduate programs at Khyber Medical University  
were recruited using a purposive sampling technique to  
select participants who could provide rich, relevant  
information  
about  
the  
phenomenon  
under  
investigation.1 Participants took part in in-depth  
interviews to explore factors inuencing their academic  
experiences during postgraduate training. A qualitative  
research design was chosen to gain an in-depth  
understanding of participants‘ experiences, perceptions,  
and  
contextual  
factors  
inuencing  
academic  
associations  
conscientiousness, resilience, and stress management  
with academic performance, whereas others  
between  
attributes  
such  
as  
performance.² The study was conceptually informed by  
Tinto’s Model of Student Integration, which explains  
how students’ persistence and academic success are  
shaped by their level of academic and social integration  
within an educational institution.⁴ This framework was  
selected because it provides a useful theoretical lens for  
examining how institutional, social, and individual  
factors interact to inuence postgraduate students’  
academic experiences. Postgraduate students who had  
completed at least one academic semester in their  
postgraduate program at Khyber Medical University  
and were willing to participate voluntarily were  
included in the study. Students who had experienced  
significant academic interruptions or prolonged breaks  
during their postgraduate studies, or those who reported  
substantial academic decline during their training, were  
excluded from the study. Sampling continued until data  
saturation was achieved, dened as the point at which  
no new themes or meaningful insights emerged from  
additional interviews.⁵ The interview guide was  
developed based on the key constructs of Tinto’s Model  
of Student Integration, focusing on academic, social,  
and institutional factors inuencing postgraduate  
students’ experiences. A pilot interview was conducted  
to assess the clarity, relevance, and comprehensiveness  
of the questions. Based on feedback from the pilot  
interview, necessary revisions were made, and the nal  
semi-structured interview guide was established.  
Participants were invited via email, and interviews were  
demonstrate weak or inconsistent relationships.¹⁰ This  
variability suggests that isolated predictors cannot  
explain academic performance; rather, it emerges from  
complex interactions between individual characteristics  
and contextual learning environments. Furthermore,  
limited research has examined how these combined  
factors inuence postgraduate research performance  
and scholarly productivity, which are critical  
components of postgraduate training. An additional  
concern in postgraduate medical education is the  
growing prevalence of stress and burnout among  
trainees. Burnout, dened as a syndrome characterized  
by emotional exhaustion, depersonalization, and  
reduced  
personal  
accomplishment  
related  
to  
professional activities, has been widely documented  
among medical learners and healthcare professionals.¹¹  
High levels of stress and burnout may negatively aect  
motivation, learning engagement, and overall academic  
performance, yet their inuence on postgraduate  
research outcomes remains insuciently explored.  
Given these gaps, a comprehensive understanding of  
the  
factors  
inuencing  
postgraduate  
academic  
performance is needed. Therefore, this study aims to  
examine how institutional, individual, environmental,  
and supervisory factors inuence the research  
performance of postgraduate medical students. By  
identifying the relative impact of these determinants,  
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Factors Inuencing Postgraduate Students’Academic  
RESULTS  
conducted through online Zoom meetings. All  
interviews were conducted by the primary researcher  
and were audio-recorded with participants’ consent.  
The interviews ranged in duration from 45 to 60  
minutes. All interviews were transcribed verbatim, and  
transcripts were reviewed twice by the researcher to  
ensure accuracy. To maintain condentiality and  
anonymity, all identifying information, including  
personal names and institutional identiers, was  
removed from the transcripts. Participants were oered  
the opportunity to review the transcripts and  
preliminary ndings (member checking) to ensure  
accuracy and credibility of the data. Participants  
preferred receiving summarized transcripts and key  
findings, which were subsequently shared with them.  
Data were analyzed using thematic analysis following  
the six-phase approach described by Braun and  
Clarke.¹¹ The analysis was guided by the conceptual  
framework derived from Tinto‘s Model of Student  
Integration, which informed the development of initial  
coding categories. The process involved familiarizing  
oneself with the data through repeated reading of  
transcripts, generating initial codes, organizing codes  
into potential themes, reviewing and rening themes,  
defining and naming themes, and producing the nal  
thematic structure. To enhance credibility, a two-step  
member-checking process was conducted. In the rst  
step, the researcher summarized the key points from  
participants‘ responses during or after the interviews to  
ensure that the interpretations accurately reected their  
perspectives. In the second step, participants were  
invited to review the emerging conceptual model and  
Table 1: Demographic Data of the Participants  
Variable  
Frequency  
Characteristics  
%age  
(n)  
05  
07  
07  
01  
01  
01  
01  
01  
Gender  
Male  
42  
58  
Female  
MHPE  
MSN  
Program  
Enrolled  
58.5  
8.3  
8.3  
8.3  
8.3  
8.3  
EPI & BIO  
MHR  
M.Phil  
MPH  
Table 2: Themes and Subthemes Inuencing Postgraduate  
Academic Performance  
Theme  
Subthemes  
Representative Qoute  
Academic  
Initial Success “My Experience in the rst  
Performance followed by  
year was very good.”  
(Respondent 1)  
“Honestly speaking, in the rst  
year, it was very tough”  
(Respondent 5)  
Trajectory  
decline  
Initial  
Challenges  
followed by  
improvement  
Familiarity  
with course  
content  
Prior  
“My success was because these  
subjects were a repetition of  
what I studied earlier.”  
Academic  
Background  
(Respondent 10)  
Lack of  
familiarity  
“Everything was new for me…  
I was not familiar with the  
with discipline terminology of medical  
education.” (Respondent 7)  
Motivation  
Enthusiasm  
“The key factor during the rst  
year was my enthusiasm and  
interest.” (Respondent 8)  
“It would give extra marks for  
promotion, so it was an  
incentive for us.” (Respondent  
5)  
and Personal and intrinsic  
Attributes  
motivation  
Career  
advancement  
motivation  
assess  
its  
relevance,  
completeness,  
and  
Academic  
Challenges  
Increased  
research and  
“I struggled with the in creased  
emphasis on research and  
statistical analysis.”  
comprehensiveness in explaining the phenomenon  
under investigation. Feedback obtained through this  
process was incorporated into the analysis, and the nal  
thematic model was rened through discussion with  
research team members, ensuring analytical rigor and  
consistency in interpretation. The primary researcher,  
who conducted the interviews and initial coding,  
maintained reexive awareness throughout the research  
process. Reexive notes and analytic memos were  
documented during data collection and analysis to  
critically reect on potential assumptions, biases, and  
interpretations that could inuence the research  
process. Regular discussions with co-authors were  
conducted to review coding decisions and emerging  
themes, thereby enhancing reexivity and ensuring that  
interpretations remained grounded in participants‘  
perspectives.  
and Workload statistical  
demands  
(Respondent 11)  
Complex  
“The increased complexity of  
topics and workload became  
dicult to manage.”  
coursework  
and workload  
(Respondent 9)  
“It was difcult to manage  
Personal and Family  
Environmental responsibilities everything with family  
Challenges  
responsibilities and work  
commitments.” (Respondent  
10)  
Travel and  
commuting  
challenges  
“Traveling several hours  
drained my energy and made  
me think about quitting.”  
(Respondent 8)  
“My batch fellows were always  
supportive and encouraged me  
to continue.” (Respondent 8)  
“The university should provide  
personalized academic  
support.” (Respondent 2)  
Peer and  
Support from  
Social Support classmates  
Institutional  
Support and  
Course  
Need for  
academic  
advising and  
tutoring.  
Structure  
Need for  
“The sessions should be shorter  
exible course and more frequent.”  
structure.  
(Respondent 1)  
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Factors Inuencing Postgraduate Students’Academic  
The ndings demonstrate that postgraduate academic performance. Studies have shown that students‘  
performance is inuenced by multiple interacting personal characteristics, combined with institutional  
factors across personal, academic, social, and limitations and peer inuences, play a signicant role  
institutional domains, consistent with Tinto’s model of in shaping academic outcomes.12 The ndings of the  
student integration. While prior academic background present study support this perspective, demonstrating a  
and initial motivation facilitated early academic positive relationship between institutional support and  
success, challenges such as increased research students‘  
academic  
experiences.  
Participants  
workload, family responsibilities, and commuting particularly emphasized the importance of faculty  
diculties contributed to declines in performance for mentorship and supervisory guidance for both academic  
some students. Conversely, peer support, eective time development  
and  
personal  
motivation.  
Similar  
management, and institutional resources played a observations have been reported in studies examining  
crucial role in helping students adapt to postgraduate postgraduate  
students’  
satisfaction  
with  
their  
academic demands  
educational environments. Research has demonstrated  
that the quality of the learning environment,  
organizational support, and administrative structures  
significantly inuence postgraduate students‘ academic  
satisfaction and performance.14 In addition, family  
responsibilities and psychological factors have been  
shown to inuence students’ academ ic engagement and  
performance. Some studies have suggested that  
students‘ physical, psychological, and emotional well-  
being may inuence their ability to maintain consistent  
academic progress .14 Although the participants in the  
DISCUSSION  
The present study identied several factors inuencing  
postgraduate students’ academic performance, which  
may act as either facilitators or hindrances. Consistent  
with Tinto‘s model of student integration, academic  
trajectories may follow dierent patterns, including  
initial success followed by mid-program decline and  
eventual recovery, or initial academic challenges  
followed by gradual improvement. The ndings of the  
current study reect similar patterns. Participants  
emphasized that maintaining a structured academic  
schedule, prioritizing learning activities, and sustaining  
focus on coursework were essential for achieving  
strong academic outcomes. Furthermore, a supportive  
learning environment and supervisors' encouragement  
were identified as important contributors to positive  
academic performance. The study also highlighted  
several factors contributing to academic diculties  
during postgraduate education. Participants reported  
that family responsibilities, unfamiliarity with course  
content, increased academic workload, and complex  
research requirements often contributed to declining  
present  
study  
did  
not  
uniformly  
emphasize  
administrative roles, several acknowledged the  
importance of family support and psychological well-  
being, which aligns with these ndings. Other studies  
have also highlighted the importance of campus life  
quality and student engagement as predictors of  
academic success.15 Research involving larger student  
populations suggests that active participation in campus  
activities and engagement with academic communities  
can signicantly inuence learning outcomes. These  
factors were not strongly emphasized by participants in  
the current study, which may be explained by the  
smaller sample size and the specic characteristics of  
the postgraduate programs represented in this research.  
Larger samples often capture a wider range of  
institutional experiences and student perspectives.  
Similarly, other studies have identied the interaction  
of academic, personal, and institutional factors as  
important contributors to academic performance.4  
Ladyshewsky et al. highlighted the role of learning  
modes and teaching approaches in shaping students‘  
academic outcomes.16 Their study demonstrated that the  
teaching delivery mode and alignment with students‘  
learning styles may signicantly inuence academic  
achievement. Although participants in the present study  
did not prominently highlight this factor, it may reect  
dierences in research focus and methodology. The  
current study relied on qualitative interviews with a  
relatively small group of postgraduate students,  
whereas Ladyshewsky’s research examined inuences  
on learning modes within a larger sample. Additional  
research has emphasized the inuence of institutional  
academic performance. Some  
students initially  
performed well due to familiarity with early  
coursework; however, as the curriculum progressed and  
became more research-intensive, challenges related to  
time management, research skills, and unfamiliar  
subject matter became more pronounced. Additionally,  
participants who resumed education after a prolonged  
academic break reported diculties adapting to the  
demands of postgraduate study. Conversely, several  
factors were associated with improved academic  
performance. Participants emphasized the importance  
of peer encouragement, structured course design,  
regular attendance, active participation in learning  
activities, and eective time management. These  
findings highlight the importance of both individual and  
environmental factors in shaping academic outcomes  
during postgraduate education. Previous research has  
similarly reported that personal, institutional, and peer-  
related factors are critical determinants of academic  
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Factors Inuencing Postgraduate Students’Academic  
postgraduate student support, recognizing the inuence  
quality, academic reputation, student facilities, and  
degree credibility on students’ academic success.9  
of personal, psychological, and socio-environmental  
factors on academic performance. Addressing these  
factors through counseling services, wellness programs,  
and academic development initiatives may help  
improve postgraduate student retention and success.  
These institutional  
characteristics contribute to  
students’ motivation and engagement with their  
academic programs. Similarly, Muthukrishnan et al.  
emphasized the importance of institutional support,  
self-management skills, and research competencies in  
determining postgraduate academic performance.17  
Their ndings suggest that strong research skills are  
particularly important for postgraduate students, as  
inadequate research competence may negatively aect  
academic outcomes. Interestingly, their study suggested  
that supervisors may have limited inuence on  
postgraduate academic performance, which contrasts  
with the current study's ndings, in which participants  
frequently highlighted the positive role of supervisory  
mentorship. This discrepancy suggests that supervisors'  
inuence may vary across institutional contexts and  
educational environments. Another study examining  
postgraduate students reported a relationship between  
dietary habits and academic performance, suggesting  
that unhealthy eating patterns such as frequent  
consumption of high-sugar or fast-food meals may be  
associated with declining academic outcomes18.  
Although this factor was not explored in depth in the  
present study, it highlights the potential role of broader  
lifestyle factors in inuencing academic success.  
Further research is needed to better understand the  
extent to which such variables contribute to  
postgraduate academic performance. Overall, the  
LIMITATIONS  
The study relied on self-reported experiences, which  
may be inuenced by recall bias. However, strategies  
such as member checking and reexive analysis were  
used to enhance credibility. The qualitative design  
explored  
participants’  
experiences  
rather  
than  
establishing causal relationships. Future studies using  
larger samples and mixed-method approaches may  
provide broader insights into factors inuencing  
postgraduate academic performance.  
CONCLUSIONS  
The present study, supported by the referenced  
literature, identifies several key factors inuencing  
academic performance among postgraduate students.  
Students‘ learning attitudes, institutional support,  
economic conditions, and family responsibilities  
emerged as important determinants of academic  
outcomes. Additionally, factors such as campus  
engagement,  
teaching  
and  
learning  
methods,  
psychological well-being, and lifestyle factors may also  
contribute to academic performance. These ndings  
suggest that postgraduate institutions should adopt  
comprehensive support strategies that address both  
academic and non-academic factors aecting student  
success. Strengthening institutional support systems,  
promoting peer collaboration, and facilitating eective  
mentorship may help improve postgraduate students’  
academic experiences and overall performance. Further  
research with larger, more diverse samples is  
recommended to better understand the complex factors  
inuencing postgraduate academic outcomes.  
findings  
of  
the  
present  
study  
reinforce  
the  
multidimensional nature of academic performance in  
postgraduate education. Academic success is inuenced  
not only by cognitive abilities but also by personal  
motivation, institutional support, peer interactions, and  
external life circumstances. The ndings of this study  
have important implications for postgraduate education  
and institutional policy development. First, universities  
should strengthen academic support systems, including  
structured mentoring programs, academic advising, and  
research skills training, to help students adapt to the  
increasing complexity of postgraduate coursework and  
research requirements. Second, institutions should  
consider implementing exible learning structures, such  
as hybrid learning opportunities, improved scheduling  
of contact sessions, and enhanced access to learning  
resources. These measures may help postgraduate  
students who balance professional responsibilities,  
family commitments, and academic demands. Third,  
promoting peer learning and collaborative academic  
environments may enhance social integration and  
student engagement. Peer mentorship programs and  
collaborative study groups may provide both academic  
and emotional support for postgraduate learners.  
Finally, institutions should adopt a holistic approach to  
DECLARATION STATEMENT  
The authors declare that articial intelligence (AI) tools  
were used solely to assist with language renement,  
grammar correction, and text organization during  
manuscript preparation. No AI tools were used to  
generate, analyze, or interpret data, nor to draw  
scientic conclusions. All intellectual content, including  
study design, data analysis, and interpretation, remains  
the original work of the authors. The authors have  
critically reviewed and nally edited the manuscript to  
ensure its originality and alignment with the research  
objectives. The authors take full responsibility for the  
nal content of the manuscript.  
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Factors Inuencing Postgraduate Students’Academic  
13. Ahmad H, El-Shaer A. Factors aecting postgraduate nursing  
CONFLICT OF INTEREST: None  
FUNDING SOURCES: None  
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AUTHORS CONTRIBUTION  
000000000002032 PMID:29116955.  
Brekhna Jamil - Concept & Design; Data Acquisition;  
Drafting Manuscript; Critical Revision; Supervision; Final  
Approval  
5. Chisholm-Burns MA, Berg-Poppe P, Spivey CA, Karges-Brown  
J, Pithan A. Systematic review of non-cognitive factors'  
inuence on health professions students’ academic  
performance. Adv Health Sci Educ Theory Pract. 2021;26:1–73.  
6. Adam J, Bore M, Childs R, Dunn J, McKendree J, Munro D, et  
al. Predictors of professional behaviour and academic outcomes  
in a UK medical school: A longitudinal cohort study. Med  
Mahak Shaheen- Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Final Approval  
Nowshad Asim - Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Critical  
Revision; Supervision; Final Approval  
Munir Ahmad Khan - Concept & Design; Data Acquisition;  
Data Analysis/Interpretation; Drafting Manuscript; Critical  
Revision; Final Approval  
Munazza Baseer - Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Critical  
Revision; Final Approval  
The authors accept responsibility for all aspects of the work  
and will ensure that any concerns regarding the accuracy or  
integrity of any part are properly investigated and resolved.  
Teach.  
2015;37(9):868–  
25752952.  
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