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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
NAZRIL IDRUS
Founder of LVG
Consultants
JASHIDA KAMAL
Co – founder of LVG
Consultants
Money Sifu Seminar
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
They spend more
than what they
earned
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.
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?
Respondents consisted
of undergraduate
students from
Universiti Teknologi
Mara (UiTM)
Cawangan
Melaka, Kampus
Bandaraya Melaka.
Public
Universities
Students
Private
Universities
Students
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
Literature Review
• Financial Literacy
Literature Review
• Financial Planning
Awareness On Financial
Planning
Demographic
factors
Family
Members
Business
Degree
Independent
Variables
Dependent
Variable
(Sources taken from Joyce K.H. Nga, Lisa H.L. Yong and Rathakrishnan D. Sellappan &
Haiyang Chen and Ronal P. Volpe)
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.
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.
Data Collection
Method
Primary Data Questionnaire
Secondary Data
Books
Journals
The Internet
SPSS
Computer
Program
Frequencies
Regression
analysis
Correlations
Reliability
test
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.
• 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
• 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
• 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
• 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
•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
Nadeyya Rahmat ViVa - Awareness on Financial Planning

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Nadeyya Rahmat ViVa - Awareness on Financial Planning

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  • 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
  • 6. NAZRIL IDRUS Founder of LVG Consultants JASHIDA KAMAL Co – founder of LVG Consultants
  • 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
  • 9. They spend more than what they earned
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  • 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?
  • 13. Respondents consisted of undergraduate students from Universiti Teknologi Mara (UiTM) Cawangan Melaka, Kampus Bandaraya Melaka. Public Universities Students Private Universities Students
  • 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
  • 17. Awareness On Financial Planning Demographic factors Family Members Business Degree Independent Variables Dependent Variable (Sources taken from Joyce K.H. Nga, Lisa H.L. Yong and Rathakrishnan D. Sellappan & Haiyang Chen and Ronal P. Volpe)
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  • 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.
  • 23. Data Collection Method Primary Data Questionnaire Secondary Data Books Journals The Internet
  • 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