Chapter 4 & 5 Template
Chapter 4 & 5 Template
Chapter 4 & 5 Template
Researchers:
Thesis Adviser:
Nelson J. Moleta Jr. RM, RN, LPT, M.Ed, MSN
Date of Submission
October 13, 2022
Nursing Department
TABLE OF CONTENTS
Introduction.
………………………………………………………………………….1
…………………………………………………………….3
…………………………………………………………….4
……………………………………………………………….4
Review of Literature
………………………………………………………………….5
Synthesis
…………………………………………………………………………….12
Theoretical Framework .
…………………………………………………………….13
Conceptual Framework
……………………………………………………………..14
………………………………………………….14
Statement of Hypothesis
…………………………………………………………….15
Research Design
…………………………………………………………………….16
………………………………………………………………....16
Sampling Scheme .
………………………………………………………………….17
Sampling Design ..
………………………………………………………………….17
Sample Size
………………………………………………………………………....17
Instrumentation
……………………………………………………………………...18
…………………………………………………….20
Analysis of Data
…………………………………………………………………….21
………………………………………………………..21
Ethical Considerations
……………………………………………………………....22
CHAPTER I
INTRODUCTION
Quality of Life is a highly subjective measure of how a person is satisfied and content
with their current position in life, as defined by the World Health Organization. It centers on
the individual’s perception of life factors that affect their daily living. It focuses on the
mental, social, and physical well being of the individual which can result in either a poor or
rich quality of life depending on how they react to certain factors of life. Measuring an
individual’s quality of life is a complicated procedure as the factors that affect them can be
differently perceived depending on the person. A negative event in life could be a motivation
which could result in a better Quality of Life, or it could also deteriorate someone’s will to
move forward which can negatively affect their quality of life as well. In order to accurately
measure the quality of life, one must keep in mind that each individual is different in terms of
dealing with the problems they encounter. With that in mind, it is still a necessary procedure
as the result of the respondents’ quality of life can greatly affect the goals, expectations,
standards, and life values. As these achievements contribute in molding each individual’s
path in the future, the foundation through education is a major basis. The conventional
method of learning consists of factors that have already been affecting and changing lives,
but with the change in the educational system various learning modalities emerged and along
with it are new factors that can create another level of challenge on the Quality of life.
Learning that are online learning modalities constructed to address the educational needs of
students amidst the pandemic. Under normal conditions, learning skills and concepts of a
skill-based program, like Bachelor of Science in Nursing, are already difficult as it is, and
demonstrations, resulted in the rise of additional challenges. With the challenges brought by
technological advances and personal hurdles, blended learning has made an impact to
used a mixed pedagogical approach with both distant and campus-based learning. A blended
learning method, which includes both campus-based and distant learning, may provide
students with enhanced motivation in their learning process when compared to distance
universities throughout the world were compelled to shift quickly from traditional campus-
based learning to distance learning using digital resources. This move posed a significant
challenge for both teachers and students, and it merits a thorough examination. To improve
didactic tactics in nursing education, additional information about students' experiences with
Understanding the feelings and expectations of students when confronted with such a
adequate resources and reorienting university education for nursing students. It is vital to
learn from these experiences and describe the strong and weak aspects in order to be able to
manage this issue in the near future. Therefore, the researchers came up with the study
entitled The Quality of Life among the Bachelor of Science in Nursing students on Blended
The study aims to describe and assess the quality of life among the Bachelor of
1.1 Age
1.2 Gender
1.3 Religion
1.7 Residence
2.2 Psychological
2.4 Environment
4. How significant is the difference exist among respondents’ Quality of Life and perceived
variable.
5. How significant is the correlation exist among respondents’ Quality of Life to their socio-
demographic variable.
The study mainly focused on assessing the quality of life among the Bachelor of
● Nursing Students - This study was beneficial to the respondents in a way that helped
them cope up with their struggles during blended learning. Furthermore, this helped the
respondents balance their quality of life in terms of utilizing blended learning in their day-to-
day lives.
● Academic Institution - The outcome of this study provides the professors with how
blended learning affects the quality of life of the nursing students. With this, the Academic
Institution would create intervention plans or strategies among nursing students to balance
quality of life and academic requirements that did not affect the day-to-day living of the
students and their support system or family in terms of quality of life. In addition, this paper
allows the support system/family to comfort the students while utilizing blended learning by
providing them their own space with proper ventilation and avoid making noise to allow the
● Nursing researchers - This study helps the nursing researchers assess the quality of
life among Bachelor of Science in Nursing. The researchers are able to study furthermore and
investigate the other phenomenon of this topic. This study also serves as a basis to improve
future studies.
SCOPE AND LIMITATIONS
The study focuses on the Quality of Life among the Bachelor of Science in Nursing
students at National University-Manila. The respondents of the study are from level I to IV
Bachelor of Science in Nursing who are enrolled in the academic year 2021-2022 at National
University-Manila, located at 551 M.F. Jhocson St, Sampaloc, Manila utilizing online
The study utilized the World Health Organization Quality of Life - BREF
(WHOQOL-BREF) questionnaire and Blended Learning Student survey were used to gather
data, and via online survey google forms. The information and results were acquired from
LITERATURE REVIEW
Quality of Life
Determining someone’s overall physical wellness can be done through lab tests and
diagnostic procedures, but measuring someone’s quality of life may be complicated as this is
highly subjective. Measuring an individual’s quality of life can determine what interventions
or changes are needed to improve or maintain their current state. A more general term known
as quality of life (QoL) encompasses experiences, states, assessments, behaviors, skills, and
emotional responses to situations (Chattu, et. al., 2020). Depending on the environment, one's
health, and psychological state, it is defined and determined differently. Nursing students'
lives become challenging by the effort they put out to learn concepts ranging from basic to
complicated issues and health concerns for preserving human health as a whole. Because of
this, it's crucial to evaluate nursing students' Quality of Life (QoL) to see if they have high
levels of well-being as they engage in their studies. (Cruz, et. al. 2018). According to (Bruno,
2017), the word "quality of life" refers to a person's physical, mental, psychological, and
emotional health, social connections with family and friends, health, education, and other
and academic failure in medical students, which may impact how they treat patients in the
future (Bamashmous, Banjari, Malibary, Omer, & Zagzoog, 2019). Given the fact that health
workers are responsible for the Quality of Life of their client, they also must take care of their
own Quality of Life. Being able to assess and be aware of their Quality of Life promotes a
healthy lifestyle to the students. This helps them to handle their academics and prevent
Physical Health
function. The body works as a system, and having problems on certain parts can cause a
negative relation to the individual’s skills and abilities. In the healthcare field, it is inevitable
to suffer physically due to workload. With that in mind, health problems show a significant
relationship towards the healthcare professionals’ job and their overall quality of life (Zahra,
Most of the students spend their time at school or in doing school activities or
requirements. This hinders them from participating in different leisure activities to release
their academic stress due to different amounts of workload. According to Pavlova Iuliia,
Vynogradskyi, Bogdan, Kurchaba, Tetiana, Zikrach, Dmytr, physical activity during leisure
time has been found to improve the physical and mental aspects of young adults' quality of
life. The Physical Role Scale, General Health Scale, Social Activity Scale, and Role
Emotional Scale all indicated that higher levels of leisure-time physical activity were
associated with improved quality of life in women (p < 0.01). This bolsters the notion that
The quality of students' sleep can impact their daily lives. According to Kay M.
Johnson, Nancy Simon, Mark Wicks, Karen Barr, Kim O'Connor, and Doug Schaad's (2017)
study, insufficient sleep on a typical weeknight (less than 6 hours, 6-6.9 hours, or 7 or more
hours) was linked to a variety of adverse outcomes, including: (1) higher Epworth sleepiness
scale scores, (2) dozing off behind the wheel, (3) signs of burnout or depression, (4) a decline
in quality of life, and (5) lower perceived academic success (all p values ≤0.01). This shows
that it is important to give attention to the sleep satisfaction and duration to prevent having
Due to today's current condition, students become more stressed in this time of
pandemic due to limited interaction, sudden lifestyle changes, restriction, and social isolation
that affects their life satisfaction. Also, according to Rogowska, Kusnierz, and Ochnik’s study
(2021), University students were found to have a 48 percent prevalence of low life
satisfaction and a 34 percent prevalence of high stress during the second wave (W2) of the
heightened stress symptoms of 27% during the COVID-19 pandemic. On the other hand, a
meta-analysis showed that 45% of Chinese people experienced extreme stress throughout the
crisis. Nearly 50% of Australian adults reported experiencing psychological distress during
the first wave of the covid-19 pandemic, which was inversely related to coping techniques
like humor, acceptance, and positive reframing and positively related to self-blame, venting,
those with higher stress levels tended to utilize more passive than active coping mechanisms
during the pandemic, lowering life satisfaction. Enjoying life and determining its meaning
can be classified as how an individual is satisfied with their current state. A study on the life
satisfaction and quality of life of Spanish nurses revealed that self-care and compassion
positively affect the quality of life, directly impacting the care they deliver. Emphasizing
nurses' self-care and compassion for themselves ensure their general wellbeing. (Sansó, N.,
Galiana, L., Oliver, A., Tomás-Salvá, M., & Vidal-Blanco, G., 2020).
Body positivity and confidence shows to have an effect on the quality of life of an
individual. Women of all ages reported having similar body image worries, according to
research by Carolyn Becker, Christina L. Verzijl, Lisa S. Kilpela, Salome A. Wilfred, and
Tiffany Stewartl (2017). The quality of life, adverse effects, and functional impairment are all
highly correlated with having a negative body image. This supports that acceptance to bodily
appearance has a significant effect on the behavior and quality of life of an individual.
Determining how often an individual goes through a hard time is essential to identify
degrees of burnout, weariness, and compassion satisfaction and their quality of life. This can
be due to exposure from challenges brought by the nursing profession. Additionally, these
circumstances result in stress, tiredness, and anxiety (Dev, V.; Fernando, A.T., III; Lim, A.G.;
Consedine, N.S., 2018). In relation, satisfaction towards their profession and quality of care
they provide has caused a decrease in general, and eventually cause negative impact to their
overall state. (Cocker, F.; Joss, N., 2016; Lim, W.Y.; Ong, J.; Ong, S.; Hao, Y.; Abdullah,
Environment
The physical environment, according to Terras and Ramsay (as referenced by Ng, C.
F., 2021), includes sensory stimulation from the constructed environment including lightning,
noise, and temperature as well as the actual presence of other people. These environmental
factors can significantly influence students' learning and performance as it may cause
attentional distraction and may reduce student's concentration. In contrast, spending time in
E., Loi, & Thorsteinsson (2020). Numerous studies, particularly experimental studies, have
discovered compelling evidence that being exposed to the outdoors can have a positive effect
on your psychological health, especially in lowering high levels of stress. As a result, they
proposed that a brief visit to a natural setting could lead to benefits in psychological health.
According to the article entitled “Student Well-being and the Physical Environment”
by Ferco Seating (2016), the physical environment has a strong influence on the learning
experience of the students, which can be beneficial or not depending on the architecture and
design of the facility or building. It may have a profound effect on students' physical,
emotional and mental health. The design of any structure, how it grows, and how it is
furnished and maintained are all important factors in addressing both the physical and
emotional well-being of the students. The location of the students' homes or places where
they spend the majority of their time, where they study, etc., all have a significant impact on
their health and general well-being. Furthermore, good physical environmental factors such
as exposure to natural light, a fresh air flow and steady temperature, peaceful environment,
etc. helps the students to stimulate productivity and it enhances their academic performance.
Social Relationship
Although not everyone is open on sharing their personal life, especially their sex life,
it is still a factor to an individual’s quality of life. According to Ji, Jiang, Lin, Zhang, Zheng,
Cheng, Lin, Hu, and Zhuo (2017), Sex Life Satisfaction (SLS) has a significant relationship
to quality of life. Putting importance to the nurses’ SLS can help them alleviate job stress
collaborate with different professionals in the health field. Having people to receive social
support from can be a way for nurses and other medical staff to improve their coping skills.
This can be due to conducted educational and training programs curated for coping
The results of a study by Bruno (2017) showed that individuals with stronger Mobility
and Accessibility presence had more positive evaluations in the majority of their subscales, as
well as more positive opinions of their health, quality of life, and social support. The results
demonstrate that there is a wide range of preferences among the participants. In the majority
of the domains covered, there are considerable differences. The results show that mobility
and accessibility significantly affect quality of life, social support, and health, and that these
Socio-demographic profile
and demographic factors is required. In this study the socio-demographic profile includes the
age, gender, religion, marital status, year level, no. of units enrolled, and residence. To
precisely ascertain whether it has a direct impact on the respondent's Quality of Life, several
factors are used. Age is a significant determinant of physical performance and fitness, which
is a key aspect of quality of life. In light of this, growing older can negatively influence a
person's physical condition, which may ultimately have an impact on their range of talents
and abilities (Puciatio, Borysiuk, & Rozpara, 2017). Along with age, the progression of the
major courses in the nursing program should also be considered as a factor which results in
the students feeling overwhelmed, as these courses are implemented much later in their
curriculum (Cruz et al., 2018). Gender is a discussed factor in various fields of work.
of men’s involvement in the field. With that in mind, gender differences in this line of work
is still a factor that has a relation to Quality of Life, which is yet to be discussed in a separate
study.
Women score poorer on the Quality of Life scale than men do in the time
al. (2017). This can be due to women having greater levels of anxiety and sadness brought by
gender disparities. According to Chaar et al. (2018), religion is linked to Quality of Life as
evidenced by the study's findings, which show that someone's Quality of Life is positively
correlated with their level of purpose, tranquility, and faith. Relational spirituality is
perceived to be beneficial in terms of a spiritual coping model to assist the patients through
their healing process. That being said, relational spirituality can be a prominent factor to
nursing students who practice and apply their faith through their learning process. A nursing
student’s unit per semester is determined by the curriculum that the university implemented.
An individual’s work load is weighed and listed to what their current level needs to expand
their knowledge on. Increased workload and increasing topic difficulty have a detrimental
effect on students' motivation in mental, physical, social, and academic areas (Cruz et al,
the results of individuals in underdeveloped countries, certain countries had relatively good
ratings on overall level of well-being, according to a study that focused on the Quality of Life
of nursing students in 9 different countries (Cruz et al, 2018). This could be due to varying
Blended Learning
His definition of online blended learning includes instructional media, techniques, and
a mix of in-person and online training. Moskal, Dzinban, and Hartmen defined blended
learning as changes in higher education institutions as a result of combining old and new
methods (as cited in Malik, G., Fatima, A., Hussain, & Sarwar, 2017), but they suggested that
a better definition is required so that institutions of higher education can align their goals in
order to successfully implement blended learning. In this way, blended learning has been
shown to help both individuals and businesses make more effective use of their time and
resources.
Blended learning combines traditional face-to-face instruction with online learning
strategies to give students access to a range of media (Dziuban, Graham, Moskal, Norberg, &
Sicilia, 2018; Wright, 2017). According to previous studies, 35 percent of the eyes of
university lecturers use design blended learning, and 12 percent of the 12.2 million elements
of online teaching is introduced into the blended course (Dziuban et al., 2018 ). The illness
known as Covid-2019 first surfaced on December 31, 2019, in Wuhan, China, before
spreading to other parts of the world. It is anticipated that the epidemic's continuous growth,
stringent isolation policies, and delays in the start of schools, colleges, and universities across
the nation would have an influence on students' mental health (Pragholapati, 2020).
Recent years have seen a surge in research into the new educational norm. Others
focused on each student's unique learning experiences throughout the epidemic, while others
(2021) and Fawaz et al. investigated how COVID-19 affected the mental health and coping
emotional functioning, specifically their ability to pay attention and cope with stress (i.e.,
mood and wellness behavior). In the study by Fawaz et al., pupils also raised concerns about
the methods used for teaching and evaluating them, a task load that was too heavy, technical
difficulties, and confinement (2021). Students sought support from educators and family
They discovered that the lockdown significantly disrupted students' ability to learn.
Additionally, students spoke about certain challenges they had when enrolled in online
courses. Students who are marginalized and from remote locations are more likely to
experience anxiety, sadness, poor Internet connectivity, and a toxic home learning
environment. Contrary to Kapasia et al(2020) .'s findings, Gonzales et al. (2020) found that
isolating students during the pandemic had a significant positive impact on their performance.
These results were associated with students' regular application of learning techniques, which
Synthesis
Determining an individual’s quality of life was not that easy as it is highly subjective.
interventions or if there are changes that need to be obtained to improve or maintain quality
of life. Having the ability to assess and be aware of their quality of life promotes a healthy
The students' quality of life may be affected by various factors such as age, gender,
religion, year level, no. of units enrolled, and residence. An increase in age was thought to
have an indirect association with Quality of Life. In line with the age, the nursing program's
curriculum contributes to the students' overwhelming feelings that affect their quality of life.
Thus, the increased effort and difficulty of the subjects caused by the increased number of
nursing units every semester has a detrimental effect on the students' quality of life.
Gender differences in this field are also considered a factor in affecting students'
Quality of Life, which explains why women have lower Quality of Life scores than men due
There are various factors that can affect the quality of life. Sensory stimulation from
the environment such as lightning, noise, and temperature, as well as the physical presence
of other people can have a substantial impact on students' learning and performance since
they can generate attentional distraction and impair concentration. Many studies,
particularly experimental studies, have discovered strong evidence that exposure to nature
can have a major impact on your psychological health, particularly in terms of reducing
increased stress levels. It is also reported that students are more anxious in this time of
pandemic due to limited interaction, abrupt lifestyle changes, restriction, and social isolation,
all of which impact their life satisfaction. A person's total function can be significantly
impacted by physical pain in general. With this in mind, health concerns have a strong link to
the job of healthcare professionals and their overall quality of life. They also learned that
practicing compassion and self-care have a beneficial effect on their quality of life, which
The physical environment has a major influence on how well students learn.
Exposure to natural light, a stable temperature and fresh air flow, a quiet environment, and
other physical environmental elements help students to be more productive and improve their
academic performance. In addition, Body positivity and confidence have been shown to
improve a person's quality of life. Negative body image is associated with poorer wellness
habits, negative outcomes, poor quality of life, and functional impairment. The vast majority
of students spend their time in school, which prevents them from engaging in recreational
activities. A study found that leisure time positively impacts both the physical and
psychological aspects of young adults' quality of life. Females who engaged in more physical
exercise in their spare time had a greater quality of life. This proves that participating in
In relation to this, The quality and duration of students' sleep may have an effect on
their daily lives. Weeknight sleep deprivation has been associated with worse perceived
academic performance, higher Epworth exhaustion scale scores, dozing off while driving,
burnout or depression symptoms, and reduced quality of life satisfaction. Also, the measure
of sex life satisfaction (SLS) is linked to quality of life. Putting a priority on the SLS of
nurses can help them cope with job stress and receive psychosocial support.
According to the findings, mobility and accessibility have a significant impact on
quality of life, social support, and health, and transportation plans should focus on these
areas. This shows that individual’s with better mobility had a more favorable opinion on their
frequently they have a challenging time. It has been discovered that burnout, exhaustion, and
compassion satisfaction all have a substantial impact on health care providers' quality of life.
This could be as a result of the hardships that the nursing profession brings.
Students' who have higher meaning, peace, and faith have a positive relation to their
Quality of Life. It is beneficial in terms of a spiritual coping model to assist the patients
throughout their healing process which explains the relationship of religion to the Quality of
Life of the student. Moreover, students' residence contributes to the factor affecting their
quality of life because some countries showed high scores on overall well-being compared to
Pandemic causes drastic changes in providing education. It affects how nurses learn
since nurses need to practice and hone their skills well. It changes into online or blended
learning from traditional classes. Instructional media, techniques, and online training are all
learning and making more efficient use of time and resources. Blended learning consists of
learning aims to provide flexible learning to students. It allows them to study in their phase
when they do not have or cannot provide access to the Internet due to slow Internet
connection and cannot afford to provide Internet. On the other hand, students use various ICT
learning technologies such as Zoom Cloud Meeting, Microsoft Teams, and VLE to conduct
synchronous learning.
Theoretical Framework
In this study, the researchers made use of Abraham Maslow's (1962) theory of quality
of life, which is still regarded as a reliable explanation of quality of life today, along with his
book Towards a Psychology of Being. The idea of human needs serves as the foundation for
Maslow's theory of progression toward happiness and true being. He described his method as
this notion, people who take more ownership of their lives and actively use all of their best
qualities would feel more liberated, powerful, joyful, and healthy. Maslow's idea of self-
actualization also seems to hold a lot of promise for contemporary medicine. Because most
chronic illnesses persist despite the best biological treatments, it's feasible that understanding
and pursuing the noble path of human development will truly change our patients' experience
for the better. The secret potential for enhancing life resides in assisting the patient in
realizing that his or her thirst for life, wants, and desire to contribute are all one and the same
thing deep down in human existence.However, you won't learn this hidden meaning of life
until you have thoroughly examined your own existence and life to learn who you really are.
With the students’ quality of life as a variable, Maslow’s theory is relevant to this study as it
talks about the quality of life of the nursing students at National University-Manila.
Conceptual Framework
Most of us have experienced different methods where technology is the new mode of
teaching and learning. The most famous difference between synchronous and asynchronous
delivery. Education has often used a blend of these methods of delivery for homework,
supporting references, and projects tend to be asynchronous, while the classroom discussion
Figure 1
In order to conceptualize the study, researchers used the input, process, and output
(IPO) paradigm. The input presents the blended learning. The process displays the
respondents' sociodemographic profile, which includes their age, gender, religion, year of
birth, number of enrolled units, and place of residence. The output presents the final result of
the study which is the improved Quality of Life of respondents during Blended Learning in
Definition of terms
Quality of Life - This is the degree of the respondent’s emotional, mental, and
STATEMENT OF HYPOTHESIS
CHAPTER III
METHODOLOGY
This study was conducted to determine the Quality of life among Bachelor of Science
describes the research design, setting, sample and sampling design, data collection procedure,
Research Design
research design to gather data that was useful for drawing findings and practical insights.
The researchers used the descriptive type of research for the study that aims to gather,
analyze, and present collected data that described the characteristics of the variables of the
study. This assesses and describes the socio-demographic profile and quality of life among
ascertain the link between an independent variable and a dependent variable, which is one of
the study's variables.It was effectively examine the relationship of the quality of life of the
In this study, quality of life–related variables and blended learning modalities was
described and correlated to the socio-demographic profile of the respondents. The students'
quality of life was not altered by manipulation in a mixed learning setting. Instead, when
blended learning became more widespread, the Bachelor of Science in Nursing students'
develop a sense of personal strength and used it in their daily life (Riopel, 2021) — for online
learning was utilized in this study in which participants from level I to IV of the Bachelor of
availability.
Nursing students from Level I to IV, which is located at 551 M.F Jhocson Sampaloc, Manila
1008. The data was collected through an online survey questionnaire utilizing the Google
forms.
Sample Scheme
a. Inclusion Criteria
date.
Sampling Design
particular, the stratified random sampling where in the respondents of the study were divided
into subgroups based on their academic level to ensure that every stratum is adequately
represented (Taherdoost, 2016). In this study, the researchers gathered data from the enrolled
Sample Size
As of October 2021, the total number of enrolled students in the Bachelor of Science
in Nursing program is shown in Table 1. This is the population data where samples were
conducted.
Level I 334
Level II 170
Level III 105
Level IV 51
The researchers used Yamane's Simplified Formula for Proportions to calculate the
sample size needed with a target population of 660 from Bachelor of Science in Nursing
Students. A 98% confidence level is assumed. To get the sample size, researchers used the
(0.05)
Table 2. Summary of population of Bachelor of Science in Nursing students using the Yamane’s
Simplified Formula
Bachelor of Science in Nursing Students
Table 2. Utilizing the simplified formula, the required number of samples to be included in
this study is 126 respondents from level I; 64 respondents from level II; 40 respondents from
level III; and 19 respondents from level IV with a total of 249 respondents.
INSTRUMENTATION
The research instrument used in the study is an online questionnaire survey via
Google Forms to gather the needed data from the respondents to determine if each problem
statement is answered. The survey form consists of three parts. The sociodemographic profile
of the respondents is included in the first section. The Quality of Life questionnaire is
included in the second section. The final section then includes information or queries about
blended learning.
The first part consists of the respondent’s socio-demographic profile including student
number, age, sex, religion, year level, number of units enrolled, and residence. On the other
hand, the outline of the questionnaire on the second part was based on the Quality of Life
Organization (WHO), which encompasses a variety of subjective quality of life factors. One
of the most well-known tools for comparing quality of life across cultures is the WHOQOL-
BREF, which is accessible in more than 40 languages. The survey questionnaire's questions
are modified by the researchers to ensure that each one was relevant and accurate in order to
address the research aim and objectives. The questionnaire is changed by the researchers into
a 26-item one with four domains: physical health (6 items), psychological health (8 items),
quality of life and general health (2 items). Every question on the WHOQOL-BREF is scored
using a response scale with a five-point ordinal scale that runs from 1 to 5. The scores are
then linearly translated to a 10–100 scale. Each ordinal value was given a percentage by the
researchers in order to more accurately assess data and distinguish the differences and
severity of the answer. Additionally, the area of physical health include mobility, daily
activities, functional capacity, energy, discomfort, and sleep. Among the psychological
mentality, learning ability, memory focus, religion, and mental status. The category of social
interactions includes sex life, social support, and personal relationships. The environmental
health domain includes the following topics: financial resources, safety, health and social
services, living physical environment, opportunities to learn new skills and information,
A similar study in Saudi Arabia was conducted wherein the quality of life of their
medical students was measured using WHOQOL-BREF questionnaire. The study validated
the tool because it found no relationship between academic year and gender and quality of
life for students. Additionally, the study found that students who performed better had worse
psychological health and social interaction scores (Malibary et. al., 2019).
For the third part of the online questionnaire, a constructed blended learning student
survey by Long Island University was adapted and utilized for the study. This is a 36-item
survey form that gathers the respondents’ thoughts regarding their experiences in a blended
learning set up. To verify that each item is accurate and pertinent to the research aim and
objectives, the researchers additionally modify the questionnaire into a 26-item one. The
subjective items are disregarded when the questionnaire is revised to provide precise data that
can be measured. Each question in the survey is assessed using a response scale with a five-
point ordinal scale that runs from 1 to 5. After that, the scores are linearly scaled to a range of
10 to 100. The researchers assigned a percentage to each ordinal value in order to more
precisely examine the data and identify the variations and severity of the response. It asks
questions about factors students should think about before enrolling in a blended learning
environment, the amount of interaction between professors and students, the quality of
education they will receive despite being confined to an online environment, and personal
A study conducted in 2019 utilized The Blended Learning Student Survey by Long
Island University. With 234 responses from the students, they were able to determine the
feedback of students regarding their online summer courses. The survey showed that the
students were very satisfied with their online learning experiences. They were also able to
find out how the students were more flexible in terms of finishing requirements. It also
showed how many opportunities there are in achieving their goals in their academic
programs, which also resulted in having more time to explore other additional courses to
A request letter to carry out the study is written. A questionnaire checklist was
modified by the researcher, approved by the subject-matter professor, and then distributed.
Because of the benefits of the survey approach, the researcher from National University of
Manila used an online survey to carry out the study. The respondent's value to the study was
terminologies to the respondents so that they can complete the questionnaire fully aware of
their role as the study's subject. The responders were asked to respond with all honesty To
guarantee that each stratum is fairly represented, the researcher employs stratified random
sampling, a sort of probability sampling in which the participants are separated into
In this study, since the researcher's goal is to determine the Quality of life among
believes that this method is the most appropriate in choosing the sample for the research.
immediately tallied the data collected for this study and computed the results for
After determining the completeness of the survey, data were encoded using Microsoft
Excel and was verified. The researchers utilized a descriptive type of data analysis to analyze
and Quality of Life (QoL). The respondents’ socio-demographic profiles are listed along with
the respective number of students per profile (age, gender, religion, year level, no. of units
enrolled, and residence). A multivariate regression analysis was utilized as well as to assess
and describe the relation of socio-demographic profile to the respondents’ Quality of Life. All
In order to find the desired results of the data gathered, the researchers tend to use the
different statistical formulas to tabulate and calculate the gathered data in this study including
frequency and percentage formula, weighted mean, standard deviation, and spearman’s rho.
The data to be gathered in this study was subjected to the following statistical treatment:
I. Frequency Count
The frequency count is used to identify or determine the total number of respondents
in terms of their socio-demographic profile and to summarize the survey data gathered. To
turn a raw frequency of the respondents’ socio-demographic profile into relative frequency
calculated using a percentage calculation, taking into account their age, gender, religion, year
of study, number of enrolled units, and place of residence. To show the size of each answer as
compared to the population, the percentage was taken. The formula for percentage is:
To calculate the average of the collected data, the researchers utilized a weighted
mean formula. According to guidelines set by the World Health Organization, the
respondent's Quality of Life is calculated by using weighted mean. The formula for weighted
mean is:
learning
The dispersion of the data set in relation to its mean was quantified by the researchers
using standard deviation. When the standard deviation is low, it means that the data points
typically fall relatively close to the mean; when it's high, it means that the data points are
dispersed across a wide range of values. The formula for Standard Deviation is:
where, x_i^ is each value in the data set; ▁x is the mean; n is the number of values in
V. Chi-square Test
implementation of blended learning to their socio-demographic profile and quality of life, the
researchers conducted the Chi-square Test. The formula for Chi-square Test is:
factors on a dependent variable, the researchers utilized two-way ANOVA to evaluate the
data collected. This statistical analysis is done to see if the respondent's quality of life differs
from how they perceive blended learning to be applied to their socio-demographic profile.
Chapter IV
The results of the data gathered from the study's survey and discussion on the Quality
of Life among the Bachelor of Science in Nursing Students on Blended Learning at National
University-Manila will be shown in the following chapter. The study included 304
respondents, and upon data cleaning, all the 304 data are valid.
Table No. 1 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Age
Age Frequency Percent
As per the data gathered, the majority of the respondents were ages 18 to 20 years old
with a total number of 191 or 62.8%. Respondents aging 21 to 23 years old had a total
number of 109 or 35.9%, and respondents aging 24 to 27 years old were only 4 or 1.3% from
the total number of respondents. The majority of responders with ages 18 to 20 years old is
largely due to the ratio of the remaining seniors to the increasing number of freshmen and
is well recognized that younger individuals are more inclined to engage than older individuals
Table No. 2 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Gender
Gender Frequency Percent
Male 59 19.4%
The total number of respondents were 304 with the female showing a greater number
amounting to 245 or 80.6%, while the male had a total number of 59 or 19.4%. The Nursing
department is known to have more women in the field rather than men. With the increasing
number of nursing students enrolling per year, the number of men enrolled increases yet the
population of women still dominate the nursing department. According to a study, women are
known to engage in answering and participating in research studies rather than men (Bethony,
J., Diemert, D., Gazzinelli, M., Grahek, L., Lobato, L., & Per5eira, F., 2014)
Table No. 3 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Religion
Christian 32 10.5%
No Religion 1 0.3%
The frequency distribution of the respondents' religion is displayed in the table above.
responses. Moreover, there were 30 respondents, or 9.9%, who have other religion. One of
the responders answered no religion with 0.3% . In total, the researchers gathered 304
Church, which holds a dominant position in terms of both the number and percentage of
adherents in the country's religious structure. More than 80% of Filipinos continuously
declared their devotion to the Catholic branch of Christianity throughout the decade of 2010
(Balabeykina, 2020). Given this, Roman Catholics represented the majority of the
Table No. 4 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Marital Status
Marital Status Frequency Percent
Married 1 .3%
status. The majority of the respondents are single with a total number of 303 or 99.7% and
there is only 1 married among all the respondents. The researchers obtained a total of 303
responses for this table. According to a study, only seven percent of all undergraduates are
married, which explains why the number of single students is higher compared to those who
Table No. 5 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Year Level
The data from the above table displays the frequency distribution of the respondent's
Year Level. It was determined that 154 respondents, or 50.7%, were first-year students, who
made up the majority of the respondents. There were 82 or 27.0% second-year students.
There were 52 respondents, or 17.1%, third-year students. Additionally, 16 or 5.3% of
students are fourth-year students. The researchers obtained a total of 304 responses for this
table. At the Nursing Department of National University-Manila, the ratio of seniors to the
increasing number of freshmen and sophomores is the primary reflection of the significant
number of responses in first year, followed by the second year, third year, and fourth year
students. The researchers calculated a sample size based on the population of nursing students
required for the study. The sample size is primarily set to have a significant number of
Table No. 6 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their No. of Units Enrolled
No. Of Units Enrolled Frequency Percent
10 up to 15 units 23 7.6%
16 up to 20 units 255 83.9%
21 up to 26 units 26 8.6%
Total 304 100.0%
As presented in the table, it shows the frequency distribution of the respondents’ no.
of units enrolled. The majority of the respondents were taking 16 up to 20 units with a total
8.6%, and respondents taking 10 up to 15 units were 23 or 7.6% from the total number of
necessary to graduate (Lucier, 2019). One explanation that students detest online learning and
may have reduced their overall number of units by enrolling in only the most important
Table No. 7 Frequency & Percentage Distribution of Respondents Demographic Profile According to
Their Residence
Residence Frequency Percent
City 268 88.2%
Province 36 11.8%
Total 304 100.0%
The table above indicate the frequency and percentage distribution of the respondents
according to their residence. The majority of the respondents are from urban area (city) with
the total frequency number of 268 or 88.2%, while the respondents from rural area (province)
are 36 or with a total of 11.8%. According to the article of Arellano, D. (2017) majority of the
parents of the students intended to enroll their children to a school near at their homes in
order to save time and money commuting, and to assure that the students are safe and secure.
In addition, long commutes are exhausting, especially with the horrendous traffic in Manila.
1.) Physical pain prevents me from doing what I 3.03 1.13 Moderately Healthy
need to do.
2.) I take certain medications/medicine to function. 1.87 1.04 Slightly Healthy
3.) I have enough energy for everyday life. 3.10 0.87 Moderately Healthy
4.) I am able to get around to places I need to. 3.24 1.02 Moderately Healthy
5.) I am satisfied with my sleep. 2.20 1.03 Slightly Healthy
6.) I accept my bodily appearance 2.94 1.16 Moderately Healthy
Over-all Physical Health 2.73 0.52 Moderately Healthy
1.00-1.79 Not Yet Healthy
1.80-2.59 Slightly Healthy
2.60-3.39 Moderately Healthy
3.40-4.19 Healthy
4.20-5.00 Extremely Healthy
The table above shows the mean perception distribution of the respondents towards
the level of quality of life according to their physical health. The overall mean obtained
(2.73), which is interpreted as moderately healthy. According to Cruz (2018), the heavy
workload in school may limit students to engage in exercise on a regular basis. Being
physically healthy among students holds importance in improving the quality of life, being
healthy without a presence of disease is one of the factors in determining the quality of life of
an individual. Quality of life of students can also be affected by lower practice of physical
The table displays the mean perceived distribution of the respondents’ quality of life
in relation to the level of quality of life according to their psychological health. The over-all
Cruz (2018), The wellbeing of nursing students is influenced by their psychological health,
which is in turn influenced by how they perceive stress. Therefore, psychological health is the
The table shows the mean perceived distribution of the respondents’ quality of life in
regards to their social relationships. The overall social relationships under their quality of life
were determined to have a mean of (3.69), meaning that the respondents’ reported having
satisfied social relationships. Peers and support groups shows great contribution to an
individual’s Quality of Life through protecting one another’s mental health. A known social
determinant of health is their relationship and social interaction with others (Bergeron, G.,
Lundy De La Cruz, N., Gould, L.H. et al., 2020). As the table showed that the respondents
have a satisfied social relationship, their quality of life can be perceived better through this.
The groups they socialize with creates a psychological and emotional impact to their overall
health and eventually improves their quality of life (Fu J, Cheng Z, Liu S, Hu Z, Zhong Z,
Luo Y, 2021).
The Quality of Life of the respondents under the Environmental domain shows a
mean score of (3.21) or Moderately Satisfied. This finding shows that an individual’s Quality
of Life may be affected through environmental factors such as the feeling of safety and
security, resources available, accessibility to certain facilities, transportation, and etc. The
respondents' everyday activities are affected by the presence or absence of these elements.
Regarding that, their quality of life may also be significantly influenced due to environmental
factors that support and aid them in meeting their basic needs, which in return affects their
general wellbeing. (Ramli, A., Zain, R.M., Zain, M.Z.M., Rahman, A.A.A., 2021).
Table No. 12 Respondents Quality of Life According to Their Quality of Life and General Health
Quality of Life and General Health Mean SD Verbal Interpretation
1.) How would you rate your quality of life? 3.56 0.77 Good
2.) I am satisfied with my health. 3.34 0.93 Average
Over-all Quality of Life and General Health 3.45 0.77 Good
1.00-1.79 Very poor
1.80-2.59 Poor
2.60-3.39 Average
3.40-4.19 Good
4.20-5.00 Very good
As indicated above, the overall Quality of Life and General Health of the respondents
results to a score of (3.45). The tool reveals that the respondents have a Good Quality of Life
and General Health when looking at the set of values used to analyze the data. The different
domains under the tool used to evaluate their Quality of Life is a determinant of their overall
general health and as well as their Quality of Life. The Physical, Psychological, Social
Relationship, and Environment domains were all factors to be evaluated before respondents
are able to accurately and appropriately evaluate their perception of their Quality of Life. At
certain domains they showed excellence and most were just average which resulted to the
The table above shows the mean perception distribution towards the level of the
(3.01), which is interpreted as Moderately important. It was evident that the respondents do
recognize the value of this learning modality through the advantages it provides. As most of
the questions asked are determined to be moderately important, the respondents’ perception
may be influenced by the adjustment period and rapid transition from traditional classroom
setting to blended learning. Moreover, the online learning modality was able to show the
impact of blended learning not only for their academics but also to their life outside the
course, which in return may influence and improve the quality of their skills and performance
Table No. 14 Level of Respondents’ Perceived Implementation of Blended Learning (according to the
amount of interaction)
Perceived Implementation of Blended Learning Mean SD Verbal Interpretation
1.) Other students in this blended course. 2.91 0.77 Maintained
2.) The instructor in this blended course. 3.26 0.75 Maintained
Over-all Perceived Implementation of Blended Learning
according to the amount of interaction 3.09 0.76 Maintained
100-1.79 Much decreased
1.80-2.59 Somewhat decreased
2.60-3.39 Maintained
3.40-4.19 Somewhat increased
4.20-5.00 Much increased
The table above shows the mean distribution towards the level of the respondents’
maintained. Transitioning from traditional online settings to blended learning, the students’
between student and instructor may be elements that are affected which could eventually
have an impact to their over-all academic performance. Aside from the expected connection
errors and miscommunication through online, the flexibility of the schedule provided by the
instructors to the students made a positive impact to how students manage their time as it is
accessible and relevant to their current conditions (Hajhosseini, F. & Taghizadeh, M., 2021).
Through this, the data shown above determined that the interaction between students and
instructors are maintained at a level that is still efficient for both ends. (PACHECK KUNG
Table No. 15 Level of Respondents’ Perceived Implementation of Blended Learning according to the
quality of interaction
Perceived Implementation of Blended Learning Mean SD Verbal Interpretation
1.) Other students in this blended course. 3.02 0.72 Maintained
2.) The instructor in this blended course. 3.13 0.75 Maintained
Over-all Perceived Implementation of Blended Learning
according to the quality of interaction 3.08 0.73 Maintained
100-1.79 Much worse
1.80-2.59 Somewhat worse
2.60-3.39 Maintained
3.40-4.19 Somewhat better
4.20-5.00Much better
The table displays the mean perceived implementation of blended learning according
maintained. Blended Learning provides students with access to online information and
resources according to their interests and expertise levels. It improves lecturers' and students’
time management skills and helps the classroom environment by providing possibilities for
professional cooperation (Guillén-Gámez et al. 2020; Owston et al. 2019). Through that the
quality of interaction between the instructors and students are determined to have minimal to
no changes compared to the quality of interaction during the traditional face-to-face setting.
interpreted as average. As technology has been easier to use over the past several years,
blended learning has changed how classrooms look. Since the evidence shows that they have
integrate synchronous and asynchronous activities and are located on a continuum between
face-to-face and online teaching and learning—are of special interest (Graham, 2019). The
current situation demands what is the best methodology for teaching and which ones may suit
The table presents the perceived implementation of blended learning. The over-all
was determined to have a mean of (3.26), which indicates average. The degree and amount of
workload of the students during traditional and face to face classes and the comparison of the
traditional and blended learning in terms of level of difficulty contributed to the outcome of
this data. Blended learning was a potential method in undergraduate medical to teach the
medical students and it was as effective as traditional learning for teaching medical students
(Sitthiphong, et al. 2021). As a result, the respondents viewed that the course whether
blended learning or traditional face-to-face had minimal differences in terms of quality and
Table No. 18 Level of Respondents’ Perceived Implementation of Blended Learning resources and
components
Perceived Implementation of Blended Learning Mean SD Verbal Interpretation
1.) The provided class syllabus is helpful to me. 3.30 0.88 Moderately helpful
2.) The materials (e.g., PowerPoint presentation, video
presentation) provided in class helps me to understand 3.56 0.92 Very helpful
the lesson.
3.) Online interaction (e.g., discussion board, chats, e-
3.37 0.92 Moderately helpful
mails) benefits me.
4.) In-class quizzes and tests benefit me. 3.37 0.86 Moderately helpful
5.) I benefit from taking exams and quizzes online. 3.35 0.93 Moderately helpful
6.) The textbooks are useful to my online class. 3.58 0.99 Very helpful
7.) Online reading materials are helpful to my studies. 3.64 0.99 Very helpful
Over-all Perceived Implementation of Blended
Learning resources and components 3.45 0.93 Very Helpful
100-1.79 Not at all helpful
1.80-2.59 Slightly helpful
2.60-3.39 Moderately helpful
3.40-4.19 Very helpful
4.20-5.00 Extremely helpful
The table presents the perceived implementation of blended learning. The over-all
which indicates very helpful. Factors such as dissemination of class materials like
PowerPoint presentation and video presentation, textbooks, and online reading materials are
considered to be very helpful for the respondents. On the other hand, the dissemination of
syllabus, online interaction, in-class quizzes, and exams are considered as moderately helpful.
When attempting to create an online course that is more beneficial and useful for students
studying, understanding the elements that influence how students perceive the usefulness of
blended learning may be of substantial use. If the course material and activities are well
prepared and easy to use, students feel comfortable and have greater motivation to study
The table above shows the summary of the elements under Blended learning as
perceived by the respondents. Through the data gathered, Blended learning is perceived to be
moderately important as the amount and quality of interaction between the students and
instructors were both maintained whether it was traditional or not. Their over-all
perception they have as they compared it to the traditional face-to-face setting. Under the
blended learning modality, the resources and components it provided the students is found to
be very helpful to their course due to its availability, accessibility, flexibility, and relevance
(SOP4)
Table No. 19 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to Their Age Profile
Type III Verbal
Mean Probability Decision
Source Sum of df F Interpretatio
Square Value Rule
Squares n
Corrected
4.826a 9 .536 2.098 .030
Model
Intercept 71.778 1 71.778 280.828 .000
Over-All
Not Yet
Quality of 1.157 2 .579 2.264 .106 Accept Ho
Significant
Life
Blended Not Yet
1.014 3 .338 1.322 .267 Accept Ho
Learning Significant
Over-All
Quality of
Not Yet
Life * 1.216 4 .304 1.189 .316 Accept Ho
Significant
Blended
Learning
Error 75.144 294 .256
Total 663.000 304
Corrected
79.970 303
Total
a. R Squared = .060 (Adjusted R Squared = .032)
The hypothesis was tested as shown in table (19), where the (F) value regarding the
over-all quality of life reached (2.264) with a probability value of (.106), which indicates that
the result of statistical analysis accepts the null hypothesis and confirms that there is no
significant difference among the respondents’ over-all quality of life when they are grouped
according to their age profile. Additionally, the probability value obtained for the blended
learning experience by the respondents is (.267), which also indicate that the result accepts
the null hypothesis and confirms that there is no significant difference among the
respondents’ blended learning experience when they are grouped according to their age
profile. Furthermore, the (F) value regarding the over-all quality of life and blended learning
obtained (1.189) with probability value of (.316), which is found to be not yet significant.
Therefore, the result accepts the null hypothesis and further concludes that there is no
significant difference among the respondents’ over-all quality of life and blended learning
Table No. 20 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to The No. Of Enrollees
The table above shows the comparison among respondents’ over-all quality of life
and blended learning experience when grouped according to the no. of enrollees. It reveals
that the (F) value regarding the over-all quality of life reached (2.259) with a probability
value of (.081), which indicates that the result of statistical analysis accepts the null
hypothesis and confirms that there is no significant difference among the respondents’
over-all quality of life when they are grouped according to the no. of enrollees.
Additionally, the probability value obtained for the blended learning experience by the
respondents is (.062), which also indicate that the result accepts the null hypothesis and
confirms that there is no significant difference among the respondents’ blended learning
experience when they are grouped according to the no. of enrollees. Furthermore, the (F)
value regarding the over-all quality of life and blended learning obtained (2.185) with
probability value of (.071), which is found to be not yet significant. Therefore, the result
accepts the null hypothesis and further concludes that there is no significant difference
among the respondents’ over-all quality of life and blended learning experience when they
Table No. 21 Comparison Among Respondents Over-all Quality of Life and Blended Learning
Experience When Grouped According to Their Gender
The table above shows the comparison among respondents’ Blended learning and
over-all Quality of Life when grouped according to their gender profile. It can be claimed that
Learning as over-all Quality of Life based on respondents’ gender profile. Moreover, the
probability value is less than 5% which is 0.01, wherein it was found to be significant.
Evidently the researchers have enough claims to reject the null hypothesis. This further
concludes that there was a significant difference among respondents’ Blended Learning
experience when they are grouped according to their gender profile. The influence varies
depending on gender even though the resources and courses supplied are fairly distributed to
each student. Their gender profile also affects how well and motivated they are while using
various blended learning modalities. (Alqahtani, M., Elumalai, K., Sankar, J., & R., K.,
2022). Additionally, the score obtained for the over-all quality of life of the respondents is
also less than the significant level which results to a decision of rejecting the null hypothesis
meaning that Quality of Life has a significant difference to their gender profile. This may be
due to the genders’ certain emotional and psychological capacities. The impact of their
emotions and psychological health greatly affects their over-all quality of life (Chaar et al.,
2018). Through these findings, the respondents’ gender is a reliable determinant for their
perception on blended learning and over-all quality of life as it depicts their condition
appropriately.
Table No. 22 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to Their Religion
Null Hypothesis Test Probability Value Decision
Independent-
The distribution of Blended Learning is Retain the null
1 Samples .348
the same across categories of Religion. hypothesis.
Kruskal-Wallis Test
Independent-
The distribution of Over-all Quality of
Samples Reject the null
2 Life is the same across categories of .044
Kruskal-Wallis hypothesis.
Religion.
Test
Asymptomatic significances are displayed. The significance level is .05.
A non-Parametrical test under the Kruskal-Wallis's test was utilized to know the
blended learning when grouped according to their religion. The table shows the comparison
among respondents’ Blended learning and overall Quality of Life when grouped according to
their religion. Moreover, the probability value obtained for the blended learning is .348,
which is greater than the significance level of .05 by that, the researchers have enough claim
to retain the null hypothesis, meaning, that there is no significant difference in respondents’
the path they make, it is still not enough to be a determining factor to their motivation in the
blended learning and impact on the over-all quality of life. Furthermore, the probability value
obtained for the overall quality of life is .044, which is less than the significance level of .05,
with that, there being a significant difference in the respondents' quality of life according to
their religion, the researchers have adequate evidence to reject the null hypothesis. According
to Chaar et al. (2018), the study's findings, which reveal that a person's Quality of Life is
positively correlated with their level of purpose, serenity, and faith, support the notion that
religion and Quality of Life are related. Regarding a spiritual coping paradigm to help the
Having said that, relational spirituality can play a significant role for nursing students who
Table No. 23 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to Their Marital Status
The comparison between respondents’ Blended learning and over-all Quality of Life
when classified according to their marital status was presented in this table. A non-
Parametrical test under the Mann-Whitney U test were utilized to determine the significant
difference between blended learning and over-all quality of life based on respondents’ marital
status. Moreover, the probability value obtained for the blended learning is .789, which is
greater than the significance level of .05. This gives the researchers adequate evidence to
support the null hypothesis, which claims that there is no significant difference in
classified to their marital status. Moreover, the probability value obtained for the over-all
quality of life is 0.99, which is greater than the significance level of .05, the researchers have
enough claim to retain the null hypothesis, meaning that there is no significant difference in
Table No. 24 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to Their Year Level
Null Hypothesis Test Probability Value Decision
Independent-
The distribution of Blended Learning is
Samples Retain the null
1 the same across categories of Year .093
Kruskal-Wallis hypothesis.
Level.
Test
Independent-
The distribution of Over-all Quality of
Samples Retain the null
2 Life is the same across categories of .138
Kruskal-Wallis hypothesis.
Year Level.
Test
Asymptomatic significances are displayed. The significance level is .05.
A non-Parametrical test under the Kruskal-Wallis Test was utilized to know the
blended learning when classified into their year level. The table above presents the
learning when grouped into their year level. Moreover, the probability obtained for the
blended learning is .093, which is greater than the significant level of .05. This provides the
researchers with sufficient data to support the null hypothesis, which states that there is no
discernible difference between the respondents' perceptions of the quality of their lives and
the implementation of blended learning according to their year level. Furthermore, the
probability value obtained for the over-all quality of life is 0.138, which is greater than the
significance level of .05, the researchers have enough claim to retain the null hypothesis,
meaning that there is no significant difference in respondents’ over-all quality of life and
Table No. 25 Comparison Among Respondents Over-all Quality of Life and Blended Learning Experience
When Grouped According to Their Residence
Independent-
1 The distribution of Blended Learning is Samples Retain the null
.918
the same across categories of Residence Mann-Whitney U hypothesis.
Test
Independent-
The distribution of Over-all Quality of Samples
2 Retain the null
Life is the same across categories of .567
Mann-Whitney U hypothesis.
Residence
Test
Asymptomatic significances are displayed. The significance level is .05.
The probability value of the respondents' residence's link to blended learning and
quality of life is calculated using the Mann-Whitney U Test. Given that the probability value
(.918) of blended learning and respondents' residency is higher than the significance level
(.05), the null hypothesis was chosen to be retained. Same goes with the correlation of
respondents’ residence to the over-all quality of life, the null hypothesis was retained as the
probability value (.567) was greater than the significance level (.05).
(SOP5)
Table No. 25 Significant is the correlation exist among respondents’ Quality of Life to their socio-
demographic variable.
Over-all Chi-square Probability Verbal
df Decision Rule
Quality of Life Value Value Interpretation
Very
Age 10.658a 4 .031 Accept H1
Significant
Very
Gender 10.330a 2 .006 Accept H1
Significant
Not Yet
Religion 12.155a 6 .059 Accept H0
Significant
Very
Marital Status 9.163a 2 .010 Accept H1
Significant
Not Yet
Year Level 5.727a 6 .454 Accept H0
Significant
Number of Not Yet
7.120a 4 .130 Accept H0
Enrollees Significant
Not Yet
Residence .325a 2 .850 Accept H0
Significant
The table above shows the significant correlation between the respondents’ quality of
life to their socio-demographic profiles: Age, Gender, Religion, Marital Status, Year level,
The connection between age and quality of life is highly significant with a probability
value of (.031), which is below the significant threshold of (.05). As a result, the alternative
hypothesis is accepted. Fitness level and performance, which are important components of
quality of life, are significantly influenced by age. Given this, growing old can have a
negative effect on a person's physical health, which may then have an effect on their variety
Just like age, the respondents’ gender is also determined to have a very significant
correlation with quality of life due to having a probability value of (.006), meaning that the
domains, gender is a discussion point. Despite the fact that women still outnumber men in the
health area, there has been a noticeable rise in male involvement. In light of this, gender
disparities in this field of work continue to be a problem that affects quality of life. Students
studying nursing at National University-Manila were the evidence of the statement about the
Chaar et al. (2018) found a favorable correlation between purpose, tranquility, and
faith and Quality of Life. Relational spirituality is seen as a spiritual coping paradigm to help
patients heal. Nursing students who practice and apply their faith in their learning can benefit
from relational spirituality. But, in this study unlike the first two sociodemographic factors,
religion was found out to have a probability value of (.059) that is greater than the significant
value, resulting to accepting the null hypothesis and determining that religion and quality of
The marital status of the respondents was able to get a probability value of (.010),
which is less than the significance threshold of (.05). The alternative hypothesis was
accepted, and a very significant association between married status and quality of life was
found. The marital status of the respondents was able to get a probability value of (.010),
Although the year level of the respondents varies, it was found to not have a
significant correlation to quality of life due to a probability value of (.454) that is greater than
The number of enrollees were also determined to not have a significant correlation to
quality of life as it acquired a probability value of (.130) which is greater than the
correlation to quality of life of the respondents, due to the value being greater than the
(SOP6)
Table No. 26 Significant is the correlation exist among respondents’ perceived implementation of blended
learning to their socio-demographic variable.
Blended
Chi-square Probability Verbal
Learning df Decision Rule
Value Value Interpretation
Experience
Not Yet
Age 4.019a 6 .674 Accept H0
Significant
Very
Gender 15.842a 3 .001 Accept H1
Significant
Not Yet
Religion 10.113a 9 .341 Accept H0
Significant
Not Yet
Marital Status .449a 3 .930 Accept H0
Significant
Not Yet
Year Level 7.304a 9 .606 Accept H0
Significant
Number of Not Yet
5.444a 6 .488 Accept H0
Enrollees Significant
Not Yet
Residence .325a 2 .850 Accept H0
Significant
The table above shows the significant correlation between the respondents’ perceived
The correlation between the respondents’ age and their perceived implementation of blended
learning is not significant with a probability value of (0.674), which is above the significant
The respondents’ gender is determined to have a very significant correlation with the
Religion was found out to have a probability value of (.341) that is greater than the
significant level, which accepts the null hypothesis and determining that religion and the
perceived implementation of blended learning among respondents does not have a significant
The marital status of the respondents obtained a probability value of (.930), which is greater
than the significance threshold of.05. Therefore, the null hypothesis was accepted, and
confirms that there is no significant correlation between the respondents’ marital status and
The respondents’ year level was found to not have a significant correlation to the
of (.488) which is greater than the significance level, resulting in the acceptance of the null
hypothesis.
blended learning.
Chapter V
This chapter aims to present the summary of the findings, conclusions and
1. The study shows the demographic profile of the respondents in terms of:
1.1. Age
Majority of the respondents are 18-20 years old. Wherein 62.8% of the respondents
are 18-20 years old, 35.9% are 21-23 years old, and the remaining 1.3% ages 24-27 years old.
1.2. Gender
There were 304 total responses; 245 of them were women, or 80.6% of the total; the
1.3. Religion
responses. Moreover, there were 31 respondents, or 10.2%, who have other religion. In total
The majority of the respondents are single with a total number of 303 or 99.7% and
there is only 1 married among all the respondents. The researchers obtained a total of 304
up the majority of the respondents. There were 82 or 27.0% second-year students. There were
fourth-year students. The researchers obtained a total of 304 responses for this table.
The majority of the respondents were taking 16 up to 20 units with a total number of
255 or 83.9%. Respondents taking 21 up to 26 units had a total number of 26 or 8.6%, and
respondents taking 10 up to 15 units were 23 or 7.6% from the total number of respondents.
1.7. Residence
The majority of the respondents are residing at an urban community (city), with the
total frequency number of 268 or 88.2% while, the respondents residing in rural area
2. The study shows the respondents’ level of Quality of life in terms of:
moderately stable. Medication and sleep obtained scores that reached within the scale of
(1.80 - 2.59), which is interpreted as Slightly Healthy. The rest of the domain which consisted
of sensation of pain, everyday energy, ability to go places, and bodily appearance were found
to be Moderately Healthy.
2.2 Psychological
Moderately stable. While the respondents’ perception of life as meaningful obtained a score
of (1.06) or Stable, The rest of the questions that asked for the other aspects of psychological
hopelessness, anxiety, and sadness obtained scores within the range of (2.60 - 3.39), meaning
The overall social relationships under their quality of life were determined to have a
mean of 3.69, meaning that the respondents’ reported having satisfied social relationships. As
the domain explored their satisfaction on both the respondents’ personal relationships and the
support they receive from these group of people, their quality of life in regards to social
relationship is deemed to be satisfied based on both scores landing on the interval of (3.40 -
4.19).
2.4 Environment
The Quality of Life of the respondents under the Environmental domain showed a
mean score of (3.21) or Moderately Satisfied. As information needed for everyday and
satisfaction on current living place acquired scores between (3.40 - 4.19), these elements
under the environment domain is determined to be satisfactory as per the respondents. The
data gathered for safety, health security, resources, leisure activities, accessibility of certain
services, and transportation all acquired a score between (2.60 - 3.39), which interprets to be
Moderately satisfied.
The Over-all Quality of Life and General Health of the respondents resulted to a score
of (3.45) or interprets to the idea that the respondents’ quality of life and general health is
good. The respondents rated their quality of life and was determined to be good, while the
It shows that the mean score for the perceived value of implementing blended
reported that the choice in university aside the course is slightly important as the score
gathered is within the scale of (1.80 - 2.59). The convenience of having flexible time,
relevance of course to their schedule, and other activities aside from academics are other
elements received scores that land on the scale of (2.60 -3.30) meaning it is Moderately
A mean score of (3.09) was achieved for the overall perception of blended learning
Both students and instructors are determined to have the same perception regarding the
quantity of interaction during the blended learning modality, due to the fact that it acquired a
interaction obtained a mean of 3.08, which is interpreted as maintained. Both students and
instructors are determined to have the same perception regarding the quality of interaction
during the blended learning modality, due to the fact that it acquired a mean score within the
obtained a mean of (3.18), which means that the modalities of blended learning experienced
by the respondents is average. These consists of the resources, information, syllabus, courses,
and schedule.
3.5 Level of Respondents’ Perceived Implementation of Blended Learning
to-face setting was determined to have a mean of (3.26), which indicates average. Although
mean of (3.45), which indicates very helpful. PowerPoint presentation, textbooks, and online
reading materials is all very helpful as the scores acquired landed on the scale between (3.40 -
4.19), while the syllabus, online interaction, and quizzes and tests are all determined to
moderately helpful.
The amount and quality of contact between students and instructors were maintained whether it
was conventional or not, making blended learning appear to be of moderately important. Their general
understanding of how blended learning is implemented and their perspective of it as compared to the
conventional face-to-face setting are both determined to be average. Due to availability, accessibility,
flexibility, and relevance to the students' present circumstances, the materials and components offered
through the blended learning modality are deemed to be very helpful to the students' courses.
The statistical analysis's conclusion accepts the null hypothesis and confirms that there
is no discernible difference between the respondents' overall quality of life when they are
grouped according to their age profile, as shown in table (19), where the hypothesis was
tested. The (F) value regarding the over-all quality of life reached (2.264) with a probability
value of (.106). Additionally, the respondents' probability value for their experience with
blended learning was (.267), indicating that the result accepts the null hypothesis and
experiences when they are grouped according to their age profile. Additionally, the (F) value
for overall life quality and integrated learning was (1.189) with a probability value of (.316),
which is still not considered to be significant. As a result, the finding supports the null
hypothesis and leads to the additional conclusion that when respondents are classified
according to their age profile, there is no discernible difference in their overall quality of life
of life when they are grouped according to the number of enrollees, as shown by the fact that
the (F) value for the over-all quality of life reached (2.259) with a probability value of (.081).
This indicates that the statistical analysis accepted the null hypothesis. Additionally, the
respondents' probability value for their blended learning experience was (.062), indicating
that the result accepts the null hypothesis and that there isn't a significant difference between
the respondents' blended learning experiences when they are grouped according to the
number of enrollees. Additionally, a probability value of (.071) was used to calculate the (F)
value for overall quality of life and blended learning, which was achieved at (2.185), and is
now not significant. As a result, the finding supports the null hypothesis and leads to the
additional conclusion that when respondents are categorized according to the number of
enrollees, there is no discernible difference in their overall quality of life or their experience
4.3 Gender
It was determined that the probability value, which is less than (.05) and equals (.016)
for blended learning and (.015) for quality of life, is determined to be significant. Evidently,
there are enough assertions for the researchers to reject the null hypothesis. When
respondents are categorized according to their gender profiles, it is further concluded that
there was a considerable disparity in the respondents' experiences with blended learning.
Additionally, because the respondents' overall quality of life score fell below the threshold
for significance, the null hypothesis was rejected, indicating that there is a significant
4.4 Religion
The researchers have enough evidence to support the null hypothesis, which states that
of blended learning according to their religion, since the probability value obtained for the
blended learning is (.348), which is greater than the significance level of (.05). With a
blended learning according to their religion, as well as the probability value obtained for the
overall quality of life being (.044), which is less than the significance level of (.05), the
The researchers have sufficient evidence to support the null hypothesis, which states that
of blended learning based on marital status, since the probability value obtained for blended
learning is (.789), which is greater than the significance level of (.05). Furthermore, because
the probability value obtained for overall quality of life is (0.99), which is greater than the
significance level of (.05), the researchers have enough evidence to maintain the null
The researchers have enough evidence to back up the null hypothesis, which states that
of blended learning based on year level, since the probability value obtained for blended
learning is (.093), which is greater than the significance level of (.05). Additionally, because
the probability value for overall quality of life obtained is (0.138), which is greater than the
significance level of (.05), the researchers have sufficient evidence to support the null
4.7 Residence
The researchers have enough evidence to support the null hypothesis, which states that
learning is (.918), which is greater than the significance level of (.05). Further to that, because
the probability value obtained for overall quality of life is (0.138), which is greater than the
significance level of (.05), the researchers have enough data to back up the null hypothesis,
implying that there is no significant difference in respondents' overall quality of life and
demographic Variable
The connection between age and quality of life is highly significant with a probability
value of (.031), which is below the significant threshold of (.05). Just like age, the
respondents` gender is also determined to have a very significant correlation with quality of
life due to having a probability value of (.006), meaning that the alternative hypothesis is
accepted. Moreover, religion was found out to have a probability value of (.059) that is
greater than the significant value, resulting to accepting the null hypothesis and determining
that religion and quality of life does not have a significant relationship. The marital status of
the respondents was able to get a probability value of (.010), which is less than the
significance threshold of (.05). Although the year level of the respondents varies, it was
found to not have a significant correlation to quality of life due to a probability value of
(.454) that is greater than the significance level of (.05). The number of enrollees were also
value of (.130) which is greater than the significance level, resulting in the acceptance of the
null hypothesis. Residents acquired a probability value of (.850) which means no significance
The correlation between the respondents` age and their perceived implementation of
blended learning is not significant with a probability value of (0.674), which is above the
due to having a probability value of (0.001), meaning that the alternative hypothesis is
accepted. Religion was found to have a probability value of (.341) that is greater than the
significant level, which accepts the null hypothesis and determining that religion and the
perceived implementation of blended learning among respondents does not have a significant
relationship yet. The respondents` year level was found to not have a significant correlation
of (.606) that is greater than the significance level of (.05). The number of enrollees were also
of blended learning as it obtained a probability value of (.488) which is greater than the
Considering the unexpected circumstances that caused changes in the classroom setting at
National University, which led to the implementation of blended learning approach rather
than the traditional face-to-face classes that has been there before. This study found out that
in the students’ socio demographic profile in age, and religion there is a significant difference
Upon conducting this study, the researchers come up with the following recommendations:
1. To the nursing students, the researchers recommend to utilize this study to understand
the correlation and differences of the presented demographic data to the quality of life
intervention plans or strategies among nursing students to balance quality of life and
academic requirements that will not affect the day-to-day living of the nursing
3. To the support system/family, the researchers recommend to use this study to help .
including nursing or non-nursing students from other institutions. They may conduct
interview utilizing video call platforms such as MS Teams and Google Meet. This
learning.
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