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Montero-Sandra-BS-PSYCHOLOGY-2-4-Research-Proposal-EP-PSYC-30075

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MONTERO, Sandra B.
BS PSYCHOLOGY 2-4
Experimental Psychology
TITLE:
THE HEALTH STATUS OF SELECTED GRADE 11 STEM STUDENTS AND ITS
RELATIONSHIP TO THEIR LIFE SATISFACTION SCORES IN FILEMON T. LIZAN SENIOR
HIGH SCHOOL: A CORRELATIONAL STUDY
I. INTRO/ABSTRACT
This study used correlational research design since it aims to determine the relationship
between the health status and life satisfaction scores of Grade 11 STEM students in Filemon T.
Lizan Senior High School. The participants of this study were selected using random sampling
with a total of 50 (using the Slovin’s formula) in which the participants answer the two-part 41item survey forms. The first part is accordance to participant’s perception on their health status
while the second one is about the participants’ life satisfaction rating. The data treated using twovariable chi-square statistics (test of independence). The results of this study suggest that most
of the participants are satisfied and slightly satisfied with their current lives with both having
frequency score of 15 out of the 50 participants. This study also show that the two variables have
correlation between the participants’ physical health component and mental health components
scores. Since the PHC and the MHC has both shown a correlation with the life satisfaction scores,
the null hypothesis that there is no relationship between the health status and life satisfaction
scores of selected Grade 11 STEM students is rejected. While the alternative hypothesis that
there is a relationship between the health status and life satisfaction scores of selected Grade 11
STEM students is accepted.
II. CONTEXT
Health is one of the most important concerns in a life of a person. It is the overall condition
of someone’s body or mind. Habits or lifestyle and health can affect in the life satisfaction of an
individual. Good health is apparently one of the most consequential things an individual, thus,
health status is often seen as an important source of data that people use when referring in
evaluating their overall life satisfaction. Also, factors like establishing healthy eating as well as
physical and mental activity behaviors are critical in assisting the long-term health and well-being
of a person. It can also affect if a person sees their life in a satisfied manner or not. Other than
that, the well-being of the person can also affect the health, which also affects the life satisfaction
of a person. A fluctuation in health can be of a crisis which leads to a change in perspective of an
individual regarding to how satisfied they are with their life.
According to Viren et al. (2007), there are some proofs that mental health has a relationship with
life satisfaction. He examined the associations between loneliness, general, depression, and life
satisfaction. In addition to that, Sam (2001) studied self-reported satisfaction with life, and knew
that that some factors like number of friends, satisfaction with finances, perceived discrimination
and such significantly affected the life satisfaction of a student.
Life satisfaction is usually used interchangeably with emotion such as happiness, but then
again, they are two different notions. Life satisfaction is a complex term wherein it is described as
an individual's assessing of life as one, instead of emotions and feelings felt at a certain moment
only. Although this is a fact, many people still associate their level of satisfaction in their life by
pertaining only to some of their past experiences.
According to Sels (1969), most researchers appear to agree that life satisfaction ought to
be a substantial constituent of any plenary generalization of "adjustment" of mental health. On
that point, a research of Veenhoven in 1996 about 'The Study of Life Satisfaction' showed that
the quality of life is related to living conditions such food, health, shelter, and so on.
Another interesting point when researching about life satisfaction is education. In accordance to
Chompoo (2018), the variance in satisfaction between nations resource more highly educated
countries generally experience higher levels of satisfaction, but with this education comes
opportunity for aversive repercussions — loss of prior possibilities that come along with
accomplishing such education, job competition, or even deficiency of jobs. In a research titled
"Health Behaviours and Life Satisfaction in College Students" of Pettay (2008), life satisfaction,
along with positive and negative effects, are the components of Subjective Well-Being (SWB) as
stated by Andrews and Whitney in 1976. In addition to that, Pettay (2018) also stated subjective
well-being is a way of describing a good life, which can also be referred to as happiness. Diener
(2000) mentioned that people who experience abundant SWB have many comforts and few
sufferance, and they feel satisfied with their lives. Chompoo (2018) also stated that there are also
variables that show strong correlation with satisfied people are as mental and physical health,
extroversion, and empathy, but it is hard at times to conclude whether these are just products or
causes of life satisfaction.
In the Philippines, education has been one of the issues the country has been facing with.
Now that it adapted the K12 system, an addition of two years had been implemented to stand up
for the Senior High School. Little have been known about the life satisfaction and self-assessed
health of students in the Philippines, particularly those in higher education. With these in
concerns, this research aims to determine the health status and life satisfaction of selected Grade
11 STEM students in Filemon T. Lizan Senior High School.
III. RESEARCH QUESTIONS
1. Is there a relationship between the health status and life satisfaction scores of selected
Grade 11 STEM students?
2. Is there a relationship between the physical health component and life satisfaction scores
of selected Grade 11 STEM students?
3. Is there a relationship between the mental health component and life satisfaction scores
of selected Grade 11 STEM students?
4. What is the mean score of the participants in the physical health component?
5. What is the mean score of the participants in the mental health component?
6. What is the most frequent score of the participants in the SWLS?
7. What is the most frequent score interpretation of the results of the SWLS?
IV. RESEARCH METHOD
This research is entitled, “The Health Status of Selected Grade 11 STEM Students
and its Relationship to their Life Satisfaction Scores in Filemon T. Lizan Senior High
School: A Correlational Study”. The main aim of this study is to determine the relationship
between the health status and life satisfaction scores of selected Grade 11 STEM students
in Filemon T. Lizan Senior High School.
POPULATION AND SAMPLE
The researchers conducted this study within the STEM strand of the Filemon T.
Lizan Senior High School. Presently, the strand has two sections with a total population
of 57. In selecting the participants, the researchers used the Slovin's formula in obtaining
the sample size using a 5% level of significance. Thus, 50 members of the strand will be
randomly selected and is expected to participate in this study.
SAMPLING TECHNIQUE
In this study, there is an expected number of 57 participants. The researchers used
probability sampling specifically, through simple random sampling technique. A simple
random sample is meant to be an unbiased representation of a group (Investopedia,
2018).
Research Instruments
The researchers used cellphones, laptops, short form 36 health survey (SF36) and satisfaction with life survey (SWLS) through an online survey are used to
gather data for the study.
Cellphones and Laptops
Cellphones are used to document and record the data gathering
process. While, laptops are used to input all data garnered.
Short Form 36 Health Survey (SF-36)
Short Form 6 Health Survey (SF-36) is a set of generic, coherent,
and easily-administered quality of life measures. These measures
rely upon participant self-reporting and is now widely utilized by
managed care organizations for assessing of care outcomes in
patients. The questionnaire’s concepts are divided into two
components of health namely, physical health component and
mental health component. The purpose of this survey form is to
determine the self-evaluation of the students to their subjective view
of their health statuses (RAND, 1994-2018).
`
Satisfaction With Life Scale (SWLS)
The Satisfaction With Life Scale (SWLS) has been used heavily as a
measure of the life satisfaction component of subjective well-being.
The SWLS is a 7-point Likert style response scale. The possible
range of scores is 5-35, with a score of 20 representing a neutral
point on the scale. Scores between 5-9 indicate the respondent is
extremely dissatisfied with life, whereas scores between 31-35
indicate the respondent is extremely satisfied (Pavot, 2008).
Demographic Profile Sheets
The demographic profile sheets is used in this study to get the
personal background of the participants such as age, sex, and health
background.
Statistical Instruments
In this study, two- variable chi-square test (or Test of Independence) is used to
evaluate if there is a relationship between health status scores and life satisfaction scores.
According to (Siegle, 2015), correlational research designs are used to determine the
extent to which two or more variables are related among a single group of people without
attempting to manipulate the variables. Also, correlations only describe the relationship,
they do not prove cause and effect. In these circumstances, use of a two-variable chisquare test can help us to decide whether there is a relationship between the scores of
the participants in the two health components and the life satisfaction categories.
Below is the formula used to obtain the chi-square value between the two
variables:
Figure No. 4: Calculating the Chi-Square Statistic
In this study, the expected frequency is solved through this equation:
Figure No. 5: Formula for
Expected Frequency (STAT
500-Applied Statistics, 2018)
Below is the formula for finding the degree of freedom:
r = number of rows
c = number of columns
Figure No. 6: Formula for Degree of Freedom (STAT 500-Applied Statistics, 2018)
Also, the researchers used a 5% level of significance.
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