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framing_chapters_4_and_5.pptx
1. Chapter 4
PRESENTATION AND ANALYSIS OF DATA
This chapter of the paper presents the data gathered
from the 110 senior high school students of De La Salle
Araneta University who served as respondents of this
research. It also provides the analysis and interpretation of
data that has been organized according to the research
questions enumerated in the second chapter of this paper.
2. Demographic Profile of the Respondents
This section is composed of figures and tables
relative to the demographic information given by the
respondents in the questionnaire. This included data on
sex, senior high school academic strand, and weekly
allowance. Although not central to this research, these
data helped contextualize the findings and the
formulation of appropriate recommendations.
3. OPTION 1
The respondents were asked to identify their sex. Figure
1 shows the distribution of the respondents in terms of this
variable.
Figure 1. Distribution of Respondents by Sex
47%
53%
Male
Female
4. Figure 1. Distribution of Respondents by Sex
What can be said about this data?
Fifty-eight of the 110 senior high school students (53%)
who participated in the survey are females.
What does this tell you about your respondents? (Quite
important if the sampling used is purposive.)
47%
53%
Male
Female
5. What does this tell you about your respondents? (Quite
important if the sampling used is purposive.)
These respondents have been selected through
purposive sampling with the condition that they identify
themselves to have taken an interest in KPOP music to a
certain degree. This implies that in the case of these
respondents, there are more female senior high school
students who have openly expressed their interest in this
genre of music as compared to their male counterparts.
6. OPTION 2
The respondents who were randomly selected were
asked to identify their sex and the senior high school strand
they belong to. Figure 1 shows the distribution of the
respondents in terms of both of these variables.
Figure 1. Distribution of Respondents by Sex and SHS Academic Strand
13
3
11
26
16
2
15
24
0
5
10
15
20
25
30
ABM A&D HUMSS STEM
Frequency
of
Respondents
SHS Academic Strand
Male
Female
7. Figure 1. Distribution of Respondents by Sex and SHS Academic Strand
The respondents chosen to participate in this research
have been randomly selected through stratified sampling.
With a frequency of 50 that accounts for 45.45 percent of the
total sample, majority of the respondents to the survey
conducted in line with this research belonged to the Science,
Technology, Engineering and Mathematics (STEM) strand.
13
3
11
26
16
2
15
24
0
5
10
15
20
25
30
ABM A&D HUMSS STEM
Frequency
of
Respondents
SHS Academic Strand
Male
Female
8. In general, the female respondents with a frequency of
58 (53 percent) outnumber the male respondents by a small
margin. Continue if there are other details that you wish to
highlight from the data.
Respondents were also asked to provide information
regarding their weekly allowance.
Figure 2. Distribution of Respondents by Weekly Allowance
2
5
16
28
35
14
10
0
5
10
15
20
25
30
35
40
1-150 151-300 301-450 451-600 601-750 751-900 901-1050
Frequency
of
Respondents
Weekly Allowance in Pesos
9. Figure 2. Distribution of Respondents by Weekly Allowance
Based from the data provided in Figure 2, 32 percent of
the respondents receive a weekly allowance that ranges from
PhP601.00 to PhP750.00. Furthermore, the mean weekly
allowance of the 110 respondents is PhP635.00 with a
standard deviation of PhP55.00. Make other comparisons that
you have noticed in your data. You can also look into the
weekly allowances received by females compared to males.
2
5
16
28
35
14
10
0
5
10
15
20
25
30
35
40
1-150 151-300 301-450 451-600 601-750 751-900 901-1050
Frequency
of
Respondents
Weekly Allowance in Pesos
10. Respondents’ Perception of Online Shopping
This section is devoted to presenting, analyzing,
and interpreting data gathered through the survey
relevant to the respondents’ perception of online
shopping. Information regarding this variable is based
on their responses to 24 items in the questionnaire. In
each of these statements, respondents were asked to
rate their level of agreement along a five-point Likert
scale that includes Strongly Disagree (SD), Disagree (D),
Neutral (N), Agree (A), and Strongly Agree (SA).
11. Furthermore, the 24 statements are categorized
according to four subscales of perception on online
shopping: convenience, security… Data on each of
these subscales are presented separately.
The distribution of respondents based on their
responses, the mean and standard deviation of their
collective responses, and the interpretation of this
mean based on the Likert scale used is provided by the
succeeding tables.
12. Table 1. Sample Weighted Mean of the Respondents’ Level of Agreement to
Statements Regarding Their Perception of Security in Online Shopping
Table 1 shows the data on the responses of samples to
the seven statements in the questionnaire relative to their
perception of how secure online shopping is. Based on the
information, the highest mean was recorded at 4.28 for the
fifth statement. When interpreted, this means that
respondents strongly agree that imply statement here.
STATEMENT
FREQUENCY OF RESPONDENTS
𝒙 sd INTERPRETATION
SD D N A SA
1. [Actual statement 1 in
the survey
questionnaire]
13 35 11 33 18 3.07 0.68 Neutral
13. In general, the respondents registered a strong
agreement toward four of the seven statements. The
weighted mean for these statements is computed at
3.85 with a standard deviation of 0.71 implying that the
respondents collectively agree that online shopping is a
secure mode for purchasing products.
Table 2 shows the data on the respondents’
perception of convenience in online shopping…
14. Chapter 5
CONCLUSIONS AND RECOMMENDATIONS
This chapter contains the conclusions drawn
from the analysis and interpretation of the data
discussed in the preceding chapter and the
recommendations of the researchers based on the
conclusions.
15. Conclusions
Based on the findings of the study, the following
conclusions were drawn:
1. Majority of senior high school students of De La
Salle Araneta University for the second term of the
academic year 2017-2018 are females with the Science,
Technology, Engineering, and Mathematics track
accounting for the highest number of enrollees. On the
average, SHS students receive PhP635.00 allowance per
week.
16. 2. DLSAU-SHS students have a positive perception
towards online shopping in terms of security, and
convenience but do not perceive products sold online
to be of good quality.
3. There is no significant relationship between the
weekly allowance of DLSAU-SHS students and their
perception on online shopping.
17. Recommendations
Based on the conclusions, the following recommendations are
proposed:
1. Online retailers because must improve the selection of the
products they sell online by raising quality standards that are in line
with the expectations of consumers, including SHS students. What else
can they do based on the conclusions drawn?
2. Who are the other beneficiaries of the research mentioned
under “Significance of the Study?” What can you suggest to them based
on your conclusions?
3. Future researchers may consider doing a correlational
research on consumers’ perception on online shopping and their
income or socio-economic status. Experimental researches that seek to
evaluate interventions that may help improve consumer perception on
the quality of online products may also be conducted to inform online
retailers of innovative practices that can increase their sales.