Association Between Study Location and Academic Success of Undergraduate Students
IRB Number: 23-3718
Later Presented in 2022 Health Sciences Symposium Conference and published in James Madison University Research Journal due to awards received by judges.
Research Topic and Question
Operationalization of Constructs
Instruments
Research Aim, Design, & Methodology
Is there an association between academic performance and study location?
The importance of this study has become more relevant within the last 3 years due to
COVID-19. The pandemic has made undergraduate studies more versatile with the
introduction to online learning. Online learning has made the option and availability to
complete a course without physically being in the learning facility. A study observed a
negative relationship between online learning and academic performance with 30.6% of
students' course marks declining (Oducado et al., 2021). Data collected through College
Board noticed a drastic decrease in enrollment rates during/results of COVID-19 for two-
year colleges than four-year colleges (Howell et al., 2021). The long-term impact of low
academic performance is a higher chance a student will dropout and not finish their
degree. A study showed the beginning of the student’s second year was a critical period of
dropout with 20% of students leaving. Students who had the lowest entry grades were 2.17
times more likely to drop out. Among the category of students who lived away from
family and had low entry grades, this group had a 60% dropout rate by the final year.
Compared to 14% for students with high entry grades and who live close to their families
(Sosu et al., 2019).
There are several factors that are associated with a decline in academic performance. The
first being in-person versus online courses. A study found that GPA decreased when
classes transitioned from being in-person to online (Nazempour et al, 2022). Additionally,
where a student lives impacts their academic performance. This factor is gender-based in
the study by Forster, showing that there is more of a difference in performance for women who live off campus. For male students alone, there was no significance of living
arrangements on GPA. On the contrary for female students, there was an impact on living
arrangements on GPA (DF=3, Chi-square = 11.7139, p = 0.0084). Students living on
campus had higher GPAs than students living off campus with roommates. Female
students reported higher average GPAs than male students (3.44 +/- 0.48 vs 3.33 +/- 0.49).
Male students reported lower average GPAs for all four living arrangements. Male
students living off campus alone recorded the lowest average GPA. For female students,
those living off campus had the lowest reported GPAs (Forster et al., 2022). Lastly, there
has not been much research done on how study location affects academic performance.
We chose this factor to investigate in order to fill the gap of research.
During the pandemic of COVID-19, only online classes were available. Once restrictions
of COVID-19 decreased, many classes presented online options for students to take.
Before the pandemic, taking an online class was very rare and also hard to get in. Now,
there is an increase of online courses offered to students for multiple majors. Giving the
option for students to have access to multiple different study locations. Thus, the purpose
of our study is to investigate the association between academic performance and study
location.
In order to answer our research question “Is there an association between academic
performance and study location?,” the study design that is most appropriate is a cross-
sectional design. The advantages of using a cross-sectional design are that it is time-
efficient and inexpensive. Additionally, cross-sectional designs are useful for collecting
data from a large number of participants. For our study, we will be collecting data from a
large number of students at James Madison University. Due to the large number of
students we will be collecting data from, it is beneficial to only need to collect data from
each participant once.
To collect our data, we will send out an online survey to a variety of organizations at JMU
and have a QR code for students to scan at The Quad, Festival lawn, UREC, SSC,
classrooms, and libraries. At each specific location, we will have principal investigators
recruiting potential participants by introducing themselves and explaining the rationale of
our study. The potential participant will be asked to join the study and fill out a survey, if
they choose so. They will be informed that their confidentiality will be protected and that
no identifiable personal information will be included. If they agree to participate, the
participant will be asked to scan the QR code with their phone. We will also utilize the
internet to reach the most amount of students. The QR code will be sent to course group
chats in the app GroupMe, additionally we will post the QR code on social media (Snap-
chat, Instagram, and Facebook) for JMU students to see. The QR code will include our
cover letter, introducing our study and its rationale. The potential participants'
confidentiality will not be disclosed and their name will not be collected. In addition, they
will be asked to provide an electronic signature prior to beginning the survey. The type of
survey we will administer is an online questionnaire that regards utilizing library resources
that impacts academic performance (GPA). During this study, we will all be blinded
towards the responses and not know what participants filled out. We will be blinded by the
use of an online anonymous survey which will prevent us from knowing who is filling out
the survey along with which answers each participant chose. Since we are using a cross-
sectional study design, there will be no follow up with any of the participants.
The duration of the session will be 10 to 15 minutes and the subject’s total time-
commitment for the study will be a maximum of five minutes. The sample size for the
study will be 200 JMU students 18 years or older and the study will be collected online.
The principal investigators, Kaitlin, Jhoselin, Matthew, Ramsey, Will and Caroline will
collect all the data between October 19th to November 21st. We will not be recruiting
participants at a physical location on campus. Instead we will be sending out surveys
through email. We will also recruit participants through social media and group chats that
we are in for different organizations, such as club sports, fraternities and sororities. It will
take students about 5 minutes to fill out the survey.
Demographic data will be summarized and presented in table. Based on distribution of the
quantitative variables, data will be displayed as either mean ± standard deviation or median
(interquartile range). The categorical variables will be presented as frequencies
(percentage). The statistical software we will use is IBM’s SPSS, version 28. The first
statistical test we will conduct is a frequency table. We will use this method to analyze
descriptive data from the questionnaire we will make. This will generate a table that we
will use in our statistical analysis of the participant’s data that can be used in the further
distribution of the respondents in accordance to percentages, means and standard
deviations.
The next test we will conduct is the chi-square goodness of fit test. This test allows us to
compare the results we actually received versus the expected results of this research. This
will also be in table format once generated. Following this, T-tests would be used and
displayed in table formats to compare the means of the different groups as well as analyze
the significant differences that occured between the descriptive data within our study. We
will also use a reliability test using Crohnbach’s Alpha.
To estimate whether or not there exists a significant association between study location
and academic performance, one-way ANOVA will be performed. We will be able to
compare the means of several groups to identify which data points are significant to our
research. We will also format this test into a table after we conduct it.
The inclusion criteria will be undergraduate students 18 years of age or older, who are
enrolled in 12 credits or more. No one who participated in the study will be younger than
the age of 18 or currently be enrolled in less than 12 credits. The rationale for studying
undergraduate students 18 years or older, who are enrolled in at least 12 course credits or
more, is because this is the target population with the most variety of options to study
locations and living accommodations. Additionally, this population is most impacted by
their academic performance and GPA. This study aims to understand the correlation
between study location and academic performance because during the pandemic,
undergraduate GPAs have declined. Therefore, the goal is to understand the determinants
of the decline.
The location of the recruitment will be the Quad, Festival lawn, UREC, SSC, libraries, and
classrooms. We will use a QR code that students can scan to take the survey. We will
approach potential participants on campus and tell them that we are in a Health Research
Methods class and are collecting data for our research project. We will make sure that as
researchers we are blinded by using an anonymous survey. This will prevent us from
knowing who fills out our survey and who answers what.
The limitations of our proposed study design and methods are that COVID-19 impacted
how students utilized library resources and their study habits. The hours of operations of
libraries changed due to COVID-19. Although current hours may have resumed to normal
operation hours, the change during the pandemic may have had an impact on a student’s
desire or ability to use the library. Another limitation is students who do not have access to
transportation. Not every student will be able to drive onto campus to utilize library
resources whenever they desire. If no parking spots are available on campus during the
students’ desired study time, they may choose to return home and study in their room.
Since we are conducting an online survey, the responses from each participant will
inevitably have some sort of bias. Trusting that each response is truthful, with this being a
factor in the self-reported course credits as well, puts the validity of the data received from
our participants at risk as some bias due to self-reporting will always be a present factor.
This study was also cross-sectional in nature and completed at one point in time, involving
the use of specifically James Madison University students. Due to being a cross-sectional
study, no causality can be proven and there is possibility for a temporal bias due to data
being collected at a one-time point. The information being collected through a self-
reported survey creates the possibility for response bias to also be a limitation for this
study. Sample size will rely on students volunteering to participate and campus remaining
open throughout potential weather inclements. The results found can differ significantly if
compared to different universities if future research is replicated, in which measurement
dimensions and study measures would possibly need to be refined in relationship to certain
variables if conducted at other institutions. Furthermore, it would be helpful to analyze the
different resources at varying libraries in order to compare if there are pre-existing
differences in the quality of resources offered. Some colleges may have differences in
technological advancements that are offered in the library facilities, which could possibly
be a variable of significance in assessing the quality of institutional resources provided.
Cover Letter
Identification of Investigators & Purpose of Study
You are being asked to participate in a research study conducted by Will Ballard, Jhoselin Castro, Ramsey
Hammad, Caroline Howley, Kaitlin McNary, Matthew Nghiem from James Madison University. The
purpose of this study is to determine the impact that library resources have on the academic achievement
of JMU undergraduate students. This study will contribute to the researchers’ completion of their
classroom project.
Research Procedures
This study consists of an online survey that will be administered to individual participants through
QuestionPro. You will be asked to provide answers to a series of questions related to your use of library
resources and your academic performance.
Time Required
Participation in this study will require 10-15 minutes of your time.
Risks
The investigators do not perceive more than minimal risks from your involvement in this study (that is, no
risks beyond the risks associated with everyday life).
Benefits
Potential indirect benefits from participation in this to better understand the main determinants of student
success. There are no direct benefits from participation, although information from this study may
possibly lead to the benefit of other people now and/or in the future. The findings of this research can
direct university efforts in assisting the students and helping them achieve academic success more
effectively.
Incentives
You will not receive any compensation for participation in this study.
Confidentiality
The results of this research will be presented in a poster at a research symposium at JMU. The results will
also be displayed in a research paper class assignment. While individual responses are anonymously
obtained and recorded online through QuestionPro, data is kept in the strictest confidence. No identifiable
information will be collected from the participant and no identifiable responses will be presented in the
final form of this study. All data will be stored in a secure location only accessible to the researchers and
be deleted after the termination of the study. Researchers will comply with the longest applicable
standard, to which records may need to be kept longer if other requirements apply. The researchers retain
the right to use and publish non-identifiable data.
Participation & Withdrawal
Your participation is entirely voluntary. You are free to choose not to participate. Should you choose to
participate, you can withdraw at any time without consequences of any kind. However, once your
responses have been submitted and anonymously recorded you will not be able to withdraw from the
study.
Questions about the Study
If you have questions or concerns during the time of your participation in this study, or after its
completion or you would like to receive a copy of the final aggregate results of this study, please contact:
Will Ballard Jhoselin Castro
Health Sciences Health Sciences
James Madison University James Madison University
balla2wj@dukes.jmu.edu castr5jx@dukes.jmu.edu
Ramsey Hammad Caroline Howley
Health Sciences Health Sciences
James Madison University James Madison University
Hammadrk@dukes.jmu.edu howle2ca@dukes.jmu.edu
Kaitlin McNary Matthew Nghiem
Health Sciences Health Sciences
James Madison University James Madison University
mcnarykr@dukes.jmu.edu Nghiemmx@dukes.jmu.edu
Dr. Tony Jehi
Health Sciences
James Madison University
Telephone: (540) 568-6843
Email Address: jehitr@jmu.edu
Questions about Your Rights as a Research Subject
Dr. Lindsey Harvell-Bowman
Chair, Institutional Review Board
James Madison University
(540) 568-2611
Giving of Consent
I have read this cover letter and I understand what is being requested of me as a participant in this study. I
freely consent to participate. I have been given satisfactory answers to my questions. I certify that I am at
least 18 years of age.
Survey, Cover Letter and Consent
Introduction
Academic performance is a primary indicator for graduation rates in a 4 year college
(Gershenfeld et al., 2015). Academic success has shown to have a strong influence on the
students’ life and society as a whole and their motivation to continue pursuing higher education
(Lipson et al., 2018). Furthermore, GPA plays an essential role in students participating in
internships and having the skills to navigate the job market, and workplace (Parker et al., 2016).
However, poor academic performance leads to a higher drop-out rate within undergraduate
students.
In 2020, the impact that COVID-19 had on learning had a massive effect. Teaching
methods went from being face-to-face to being online or hybrid learning. The pandemic has
made undergraduate studies more versatile with the introduction of online learning. Online
learning has allowed the option to complete a course without physically being in the learning
facility. COVID-19’s presence increases the necessity of examining the courses being offered to
undergraduate students.
College students are most affected, especially because they’re susceptible to low
academic achievement amidst COVID-19. Many current students have not experienced college
outside of COVID-19 and online classes, which puts them in a critical period in their college
career to achieve academic excellence. A students’ decision on whether or not they will stay
enrolled in a 4-year college has been found to be significantly indicated from their academic
performance (Sosu et al., 2019).
There are several factors that are associated with a decline in academic performance. One
factor is the mode of learning, whether it is via online or face-to-face. Studies have shown a
decrease in GPA when classes transition from in-person to online (Nazempour et al., 2022).
Another factor is where the student lives in relation to campus. Those who live on campus on
average had a higher GPA than those who lived off-campus (Forster et al., 2022). Women living
on-campus with a roommate had a higher GPA than those living off-campus in an apartment with
roommates. Meanwhile, men had overall lower GPAs in both living situations (Forster et al.,
2022). However, another study discusses the positive impact that studying off-campus with
roommates who have a greater variability in study-focus has on academic performance (Jain et
al., 2015). Thus, leaving a gap in the research in regards to the effect that study location has on a
student's academic performance (if any exists). Study locations can vary from on campus
libraries/study rooms, dorm rooms, off-campus housing with roommates, living at home with
family, or residing individually in an apartment.
Currently there is not a significant amount of research that has been done focusing on
how study location affects academic performance. This factor was chosen to investigate in order
to fill in the gaps of research due to its relation with the dependent and independent variables.
During COVID-19, only online classes were available with many online options remaining to
students once the restrictions of the pandemic began to decrease.
The research fills new gaps because university students have moved away from
traditional study locations and habits due to the pandemic. The research fills gaps that currently
exist due to the adaptation of university students moving away from traditional study locations as
a result of the pandemic. This has created opportunities for students to take classes remotely, to
which the amount of time set in accordance to specific locations may provide greater insight on
those most significant to a students academic success (if any exist) (Oducado et al., 2021). The
purpose of this study is to investigate if any association exists between study location and its
affect on academic performance among college students.
References
Forster, B. L., & Reuter, P. R. (2022). DO college students’ living arrangements affect their
health behaviors and academic performance? Journal of American College Health, 1–7.
Gershenfeld, S., Ward Hood, D., & Zhan, M. (2015). The role of first-semester GPA in
predicting graduation rates of underrepresented students. Journal of College Student
Retention: Research, Theory & Practice, 17(4), 469–488.
Jain, T., & Kapoor, M. (2015). The impact of study groups and roommates on Academic
Performance. Review of Economics and Statistics, 97(1), 44–54.
Lipson, S. K., & Eisenberg, D. (2017). Mental health and academic attitudes and expectations in
university populations: Results from the Healthy Minds Study. Journal of Mental Health,
27(3), 205–213. https://doi.org/10.1080/09638237.2017.1417567
Nazempour, R., Darabi, H., & Nelson, P. C. (2022). Impacts on Students’ Academic Performance
Due to Emergency Transition to Remote Teaching during the COVID-19 Pandemic: A
Financial Engineering Course Case Study. Education Sciences, 12(3), 202.
Oducado, R. M., & Estoque, H. (2021). Online learning in nursing education during the
COVID-19 pandemic: Stress, satisfaction, and academic performance. Journal Of
Nursing Practice, 4(2), 143–153.
Parker, E.T., III, Kilgo, C.A., Sheets, J.K.E., & Pascarella, E.T. (2016). The Differential Effects
of Internship Participation on End-of-Fourth-Year GPA by Demographic and Institutional
Characteristics. Journal of College Student Development 57(1), 104-109.
Sosu, E. M., & Pheunpha, P. (2019). Trajectory of university dropout: Investigating the
cumulative effect of academic vulnerability and proximity to family support. Frontiers in
Education, 4. https://doi.org/10.3389/feduc.2019.00006
Recruitment Script
Will:
Hi, my name is Will Ballard and I’m in a health research methods class at JMU and we’re
conducting research on the association between study location and academic performance.
Would you be willing to take an anonymous survey? It will only take 10 to 15 minutes of your
time.
Matthew:
Hi, my name is Matthew Nghiem and I’m in a health research methods class at JMU and we’re
conducting research on the association between study location and academic performance.
Would you be willing to take an anonymous survey? It will only take 10 to 15 minutes of your
time.
Kaitlin:
Hi, my name is Kaitlin McNary and I’m in a health research methods class at JMU and we’re
conducting research on the association between study location and academic performance.
Would you be willing to take an anonymous survey? It will only take 10 to 15 minutes of your
time.
Caroline:
Hi, my name is Caroline Howley and I’m in a health research methods class at JMU and we’re
conducting research on the association between study location and academic performance.
Would you be willing to take an anonymous survey? It will only take 10 to 15 minutes of your
time.
Ramsey:
Hi, my name is Ramsey Hammad and I’m in a health research methods class at JMU and we’re
conducting research on the association between study location and academic performance.
Would you be willing to take an anonymous survey? It will only take 10 to 15 minutes of your
time.
Materials & Methods Assignment
Study design and Population
A cross-sectional design was conducted and analyzed quantitative data. Data was
collected through an online survey using QuestionPro. Participants were recruited for the study at
various locations on campus, including in front of Rose and Carrier libraries, the Student Success
Center, UREC, the Quad, and Festival lawn. Data collection began on October 19th and
concluded on November 21st. 200 undergraduate students at James Madison University
completed the survey. The sample size was chosen to avoid type 2 errors and was determined
based on the population size of James Madison University undergraduate students.
Data Collection Tool and Procedure
The data collection happened on JMU’s campus, in which the researchers read the
potential participant the cover letter. If the participant decided to participate in the study, they
scanned a QR code, which brought them to the QuestionPro survey. The first section of the
questionnaire collected demographic data such as age, gender, academic year, etc. The second
section collected study habit data including library and resource use, and amount of time spent
using them. The third section collected attitude and behavior data using a 5-point Likert scale
that consists of strongly disagree to strongly agree. The final section collects academic
performance data including major, cumulative GPA, credits taken, and academic standing. The
inclusion criteria included that the participant was a full-time James Madison University
undergraduate student. As a full-time student, they are taking 12 or more credits in the current
semester. The exclusion criteria looked at whether a participant was over the age of 18. If they
were 17 years old or younger, they were excluded from the study. Additionally, if the participant
was a part-time student they were excluded from the study.
Sample Size
To avoid type II error, the minimum sample size required was 200. Having a larger
sample size reduces the chances of a type II error occurring. The sample size of this study
allowed for the power of the test to be adequate, or not too low. Type II errors commonly occur
when the statistical test was not powerful enough, which this study avoided due to the large
sample size.
Ethical Approval
The study was reviewed and approved by the Institutional Review Board Committee of
the James Madison University on October 25th, 2022. An informed consent form was attained
from the participants indicating that participation in this study was completely voluntary. To
protect the confidentiality of the students, their information was kept in Microsoft OneDrive.
Each survey response correlates to an ID number randomly generated to protect their
confidentiality. There were no exchanges of data outside of that secure platform, and the
researchers worked in private locations when analyzing the data.
Data Analysis
The survey responses were stored in Microsoft Onedrive. The process used for data
management and coding included dividing the responses into groups of about 33 responses for
each researcher to code. In Excel, a unique ID code was assigned to each individual participant,
which was coded according to each variable type. Qualitative variables with no natural order
were measured with a Likert scale. The variables are then coded as ordinal. The software used
were Microsoft Excel for data management and SPSS Statistics for coding, cleaning, and
analyzing. The researchers compiled the results into SPSS from the QuestionPro survey. The
categorical variables were coded. For instance, for the “gender” variable, the “male” category
was coded as “1” and the female as “2.” If there were too many different responses, the top five
most popular responses were given their own code, whereas responses that had less than 5
responses were grouped into the “other” category. Univariate analyses were performed to
describe the basic characteristics of the study population, and normality tests were performed to
quantitative variables. In cases of normally distributed continuous variables, these were reported
as Mean ± SD, while for non-normally distributed variables, Median (IQR) was reported. The
first statistical test conducted was a frequency table to analyze the descriptive data from the
survey. Another statistical test conducted was the chi-square goodness of fit test. This allowed
the results actually received to be compared to the expected results. A one-way ANOVA test
was performed to estimate whether or not there was a significant association between study
location and academic performance. This test allowed the means of several groups to be
compared in order to identify which data points were significant in the research. A P-value of
less than 0.05 was set to mark statistical significance as it indicated strong evidence against the
null hypothesis due to there being a less than 5% probability that the null hypothesis is correct.
Data Analysis & Results'
Demographic Characteristics
Discussion, Conclusion, and Reference
Discussion
The findings of the cross-sectional design indicate that there is no association between
study location and academic performance. However, the study presented a few key findings
regarding the type of major and the impact it has on cumulative GPA. Health Science and
Nursing majors expressed a higher GPA compared to other majors that were collected from the
population. This study also found that seniors’ academic performance was affected in a positive
correlation with study room usage compared to other academic years.
The study resulted in a few conclusions that were not synonymous with previous studies
and findings. Though the study found no significant correlation between study location and
academic performance, the findings are still beneficial in this field. A few of the findings within
the current study contrasted previous findings. Previous studies had found that library usage was
positively associated with academic performance, more specifically freshmans and sophomores,
rather than solely juniors and seniors (Stemmer et al., 2016). In addition, students’ who preferred
staying at home with family had a higher GPA to those residing further away (Sosu et al., 2019).
Additionally, freshmen who use the library have a higher GPA their first semester, and higher
retention rate from fall to spring than non-library users (Soria et al., 2013).
A patho-biological mechanism that could explain the results of the studies’ findings is
academic stress and student’s personality traits. A prior study investigated the associations
between personality traits, stress, and academic success, which indicated a strong correlation
between participants who utilized proper coping skills to buffer against stress resulted in a
positive effect on academic performance. Those with poor coping skills to buffer stress were
correlated with poor academic performance (Saklofski et al., 2012). The personality trait
conscientiousness was deemed to be the most consistent significant personality predictor of
academic success (Saklofski et al., 2012). A possibility that led to these results may be that
rigorous majors such as nursing and health sciences, may attract students with personality traits
associated with positive academic outcomes unknowingly due to the curriculunm being designed
to prepare students for graduate school. Nursing students should be investigated to see if they
have more positive affect, and high levels of conscientiousness, compared with other majors,
which would identify indicators to explain the group having the highest cumulative GPA.
The study had several strengths, including a strong sample size, cost effectiveness, and
time efficiency. Having a large sample size provided the study with more accurate mean values
and allowed it to avoid Type II errors. Having a cost effective research design with no funding
necessary allowed for both the data collection and analyzation process to be done in a timely
manner. Limitations of the study include its cross-sectional design, use of self-reported data, and
a lack of diversity in accordance to respondents included in the study. Due to the use of a
cross-sectional design, no causality can be proven which creates a possibility for a temporal bias
due to data being collected at a one-time point. The information being collected via self-reported
surveys creates the possibility for response bias and validity issues to also be taken into
consideration as limitations of the study. In addition, a lack of diversity can also be taken into
account due to the majority of the participant’s ethnicity being white. Therefore, the population
was not accurately represented within the sample pool, and the relatability of this study may not
be deemed applicable for all populations as it was intended.
Data obtained from the research deemed that a students’ preferred study location had no
significant effect on their GPA, however strongly indicated that their major may possibly be
significant with GPA. There would need to be more studies conducted to identify an association
between study behavior and major issues. Studies, such as this one, may potentially aid students
in understanding the importance of an environment with numerous resources and the benefit it
may have on academic achievement.
For future studies, it is recommended that libraries advertise to freshmen in order to
instill better studying habits earlier on in their college career. Public health recommendations
consist of a greater incorporation of diversity in the study by including minorities or individuals
with a disability. Recommendations for research design include a longitudinal study design along
with a larger sample size. Unlike a cross-sectional study, a longitudinal study is able to justify a
cause-and-effect relationship and allows for the follow-up of participants to provide updates for
study. Furthermore, a larger sample size gives researchers more accurate results and avoids the
probability of type II errors occurring.
Conclusion
The results found no significance between study location and GPA, but discovered
associations between certain majors and GPA that can be investigated in the future studies.
Specifically, science majors have a higher cumulative GPA in comparison to other majors.
However, additional research is needed to explore this relationship between majors with their
preferred study location, and GPA. Future studies are recommended to be conducted via a
longitudinal design to effectively investigate the associations between academic performance and
study location. Public health recommendations for future research should include a greater
diversity population pool through the inclusion of minorities and individuals with disability.
References
Forster, B. L., & Reuter, P. R. (2022). DO college students’ living arrangements affect their health behaviors and academic performance? Journal of American College Health, 1–7.
Gershenfeld, S., Ward Hood, D., & Zhan, M. (2015). The role of first-semester GPA in
predicting graduation rates of underrepresented students. Journal of College Student
Retention: Research, Theory & Practice, 17(4), 469–488.
Jain, T., & Kapoor, M. (2015). The impact of study groups and roommates on Academic
Performance. Review of Economics and Statistics, 97(1), 44–54.
Lipson, S. K., & Eisenberg, D. (2017). Mental health and academic attitudes and expectations in
university populations: Results from the Healthy Minds Study. Journal of Mental Health,
27(3), 205–213. https://doi.org/10.1080/09638237.2017.1417567
Nazempour, R., Darabi, H., & Nelson, P. C. (2022). Impacts on Students’ Academic Performance
Due to Emergency Transition to Remote Teaching during the COVID-19 Pandemic: A
Financial Engineering Course Case Study. Education Sciences, 12(3), 202.
Oducado, R. M., & Estoque, H. (2021). Online learning in nursing education during the
COVID-19 pandemic: Stress, satisfaction, and academic performance. Journal Of
Nursing Practice, 4(2), 143–153.
Parker, E.T., III, Kilgo, C.A., Sheets, J.K.E., & Pascarella, E.T. (2016). The Differential Effects
of Internship Participation on End-of-Fourth-Year GPA by Demographic and Institutional
Characteristics. Journal of College Student Development 57(1), 104-109.
Saklofske, D. H., Austin, E. J., Mastoras, S. M., Beaton, L., & Osborne, S. E. (2012).
Relationships of personality, affect, emotional intelligence and coping with student stress
and academic success: Different patterns of Association for Stress and success. Learning
and Individual Differences, 22(2), 251–257. https://doi.org/10.1016/j.lindif.2011.02.010
Sosu, E. M., & Pheunpha, P. (2019). Trajectory of university dropout: Investigating the
cumulative effect of academic vulnerability and proximity to family support. Frontiers in
Education, 4. https://doi.org/10.3389/feduc.2019.00006
Soria, K.M., Fransen, J., & Nackerud, S. (2013). Library Use and Undergraduate Student
Outcomes: New Evidence for Students’ Retention and Academic Success. portal:
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student outcomes. College & Research Libraries. Retrieved September 11, 2022, from
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Participant Data Collected
All participant information was encrypted before transfer for analysis to reduce bias, integrity and maintain the confidentiality of individuals who participated.
This was the Ruleset for the extraction of the data in accordance with IRB protocol to export for cleaning, geo code tagging and transforming.