1) The document discusses a study conducted to determine the level of awareness of financial planning among university students in Malaysia.
2) It was found that university students have a high level of awareness of financial planning. Family members, demographic factors, and having a business degree were found to positively correlate with students' financial literacy.
3) Regression analysis showed that family members and having a business degree had the strongest influence on students' awareness of financial planning, with family members being identified as the most contributing factor.
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Nadeyya Rahmat ViVa - Awareness on Financial Planning
1.
2.
3.
4.
5. AWARENESS ON FINANCIAL PLANNING
AMONG UNIVERSITY STUDENTS
Prepared for:
Cik Masliana Tamrin
Puan Anidah Aziz
Prepared by:
Nurul Nadeyya Atiqah bt Hj Rahmat
2008404062
Final Year Marketing Student
8. Poor financial planning understanding amongst today’s youths.
Study loan default Failed to settle vehicle loans
Why they caught in bankruptcy?
50% of Malaysians involved in bankruptcy are University students and
young working adult. (Department of Statistics Malaysia)
Credit card debt
11. Objective 1
• To determine level of awareness on financial
planning among university students.
Objective 2
• To investigate factors that contribute to financial
literacy.
Objective 3
• To identify the most contributing factor that
influences university students on financial planning.
12. RQ 1
• How aware university students are when its come to
financial planning?
RQ 2
• What are factors that can influence university
students to become financial literate?
RQ 3
• What is the most contributing factor that influences
university students on financial planning?
14. 1. Small number of
respondents
compared to
total population.
2. Existence of
uncontrollable
factors among
respondents
Unwillingness or
reluctant to
answer in
disclosing
personal
information
regarding on
their money
management
21. Research design - Descriptive research.
- Conducted to discover and determined the
characteristics of a population.
Population – University students in public and private
universities. The total population is around half a million.
Sampling frame - Sampling frame is representation of the
elements of the target population.
- Sample from students at UiTM Cawangan
Melaka Kampus Bandaraya Melaka.
22. Sampling technique – Convenience non- probability sampling.
- Sample is selected based on the
personal judgment rather than chance.
- Researcher chooses whoever students that is
available at UiTM KBM
Sample size - Non – statistical method is applied to determine the
appropriate sample sizes.
- Sample size is determined by the previous experience that
serves as rough guidelines.
- Sample sizes larger than 30 and less than 500 are appropriate
for most research.
Sample size – Due to some restrictions and time constraint, researcher
finds it is adequate enough to have a sample size of 80
respondents.
25. Reliability Statistics
Cronbach's Alpha N of Items
.811 17
Reliability test
• Indicates
consistency
and stability
of the data
obtained
from the
survey
whether it is
reliable or
not.
Theory
• The closer
Cronbach’s
alpha is to
one, the
higher the
internal
consistency
reliability.
Thus
• It can be
concluded
that the
consistency
of the data
obtained is
good.
26. • Find total mean for Dependent Variable
• Use statistical of frequency to determine level of awareness
Mean for Total of Awareness on Financial Planning Among University Students
N Minimum Maximum Mean Std. Deviation
MeanTotalLevelOfAwareness 80 1.00 5.00 4.0125 .81898
Valid N (listwise) 80
Scale Range Level of Awareness
1.00 – 2.33 Low
2.34 – 3.67 Medium
3.68 – 5.00 High
Statistical Frequency Description for Mean Scale Range and Level of Awareness
• It was found that university students possess
high awareness on financial planningThus
27. • Previous research found that family members, demographic factors and
business degree play an important roles towards financial literacy.
• To reinforce previous findings by quantitatively, researcher decided to
measure the relationship between each independent variables and dependent
variable by using correlations and by referring to the Pearson correlation (r).
• Pearson correlation (r) would tell us the direction of the relationship (either
negative or positive).
Table 4.4: Correlations between independent variables and dependent variable
MeanTotalLevelOfA
wareness MTF MTD MTBD
MeanTotalLevelOfAwaren
ess
Pearson Correlation 1 .506** .186 .379**
Sig. (2-tailed) .000 .099 .001
N 80 80 80 80
MTF Pearson Correlation .506** 1 .347** .390**
Sig. (2-tailed) .000 .002 .000
N 80 80 80 80
MTD Pearson Correlation .186 .347** 1 .254*
Sig. (2-tailed) .099 .002 .023
N 80 80 80 80
MTBD Pearson Correlation .379** .390** .254* 1
Sig. (2-tailed) .001 .000 .023
N 80 80 80 80
28. • Pearson correlation for family members (MTF), demographic factors (MTD)
and business degree (MTBD) were 0.506, 0.186 and 0.379 respectively.
• The closer the Pearson correlation value to -1 or +1, the stronger relationship
it possess.
• Hence, all three variables indicate positive relationship with level of
awareness on financial planning among university students.
Correlation significant between independent and dependent variable
•Preceding findings by previous researchers are proven.
Family members, demographic factors, and business
degree play an important roles towards financial literacy.Thus
29. • Regression analysis is conducted to show which factors has the most influential
towards dependent variable.
• After the analysis, only two variables proof to be strong relationship with dependent
variable. ( Family members & Business degree).
Table 4.5: Coefficientsbetween independent variables and dependent variable
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 1.638 .477 3.433 .001
MTF .497 .127 .427 3.925 .000
MTD -.020 .116 -.018 -.175 .862
MTBD .193 .094 .217 2.056 .043
2 (Constant) 1.604 .432 3.713 .000
MTF .491 .121 .422 4.062 .000
MTBD .190 .092 .215 2.064 .042
a. Dependent Variable: MeanTotalLevelOfAwareness
30. •The other variable which is demographic factor is removed from the analysis data.
• The exclusion indicate that demographic factor play the least significant relation with
dependent variable
Table 4.6: Variables Entered/Removed
Model Variables
Entered Variables Removed Method
1 MTBD, MTD,
MTFa
. Enter
2 . MTD Backward (criterion: Probability
of F-to-remove >= .100)
a. All requested variables entered.
b. Dependent Variable: MeanTotalLevelOfAwareness
• The most contributing factor that influences
university students in financial planning
happened to be family members.
Thus
