Comprehensive Study Notes – Financial Literacy & Online Purchase Decisions (Grade 12 ABM)

Abstract

Purpose of the study
- Determine the relationship between Grade 12 ABM students’ applied financial literacy and their online purchase decision-making.
- Identify other factors that shape buying choices, the role of finance-focused subjects, and barriers that impair prudent spending.
Key context
- Rapid growth of e-commerce, intensified by COVID-19, makes financial literacy critical.
- Adolescents (esp. Generation Z, 16–18 yrs) are heavy users of platforms such as Shopee; 73 % shop online, 60 % at least weekly.
Methods
- Explanatory mixed-methods: quantitative survey (5-point Likert) + qualitative semi-structured interviews.
- $N{survey}=66$ , $N{interview}=10$ from Immaculate Conception College of Balayan.
Major findings
- Moderate positive Pearson correlation between literacy and purchase behaviour: r=0.51,\ p<0.001.
- Students “often” show good literacy (composite $\bar x=3.67$ ) and weight price, reviews, ratings in decisions (composite $\bar x=4.13$ ).
- Gaps: weak mastery of basic terms, limited formal training, impulsive habits.
Implications
- Need holistic, practice-rich programs, continuous updating, trust-building tactics, ethical grounding.

Introduction

Digital economy + pandemic → surge in online shopping; solid financial skills are now “life skills.”
Online platforms’ benefits
- Customisation, reviews, convenience; but constant tech changes pressure consumers.
Financial literacy significance
- Empowers budgeting, price comparison, fraud avoidance (OECD 2014).
- ABM strand gives exposure, yet practical mastery remains low (Gentina 2021; Wuisang 2023).
Behavioural backdrop
- Gen Z high impulsivity; 73 % shop online (Wicknertz 2023), often weekly.
- Price-quality heuristic: cheaper ≠ saving (Shirai 2015).
Study objectives
1. Gauge students’ literacy level.
2. Describe how they decide on online buys.
3. Surface barriers despite coursework.
4. Examine coursework’s aid.
5. Test the literacy-decision correlation.

Methodology

Design

Explanatory mixed-method; numeric priority then qualitative follow-up (Danes 2016).

Sampling

Judgmental purposive: Grade 12 ABM active online shoppers.
Phase 1: 66 respondents (pre-survey qualified).
Phase 2: 10 interviewees randomly drawn from 66.

Instruments

5-point Likert survey (1 = Never … 5 = Always / Strongly Agree).
Semi-structured interview protocol (validated, pre-tested).

Data analysis

Quantitative: descriptive stats + Pearson correlation $r=\frac{\sum (x-\bar x)(y-\bar y)}{\sqrt{\sum (x-\bar x)^2\sum (y-\bar y)^2}}$ .
Qualitative: Thematic analysis.

Ethics

Adviser clearance, informed consent, anonymity (code names), voluntary withdrawal, mandatory reporting of abuse.

Results

RQ 1 – Level of Financial Literacy (Table 1)

Composite mean $\bar x=3.67$ → “Often.”
Top strengths
- Explain importance of saving & goals ( $\bar x=3.95$ , Rank 1).
- Budget creation & management ( $\bar x=3.85$ , Rank 2).
- Protecting personal data / safe e-banking ( $\bar x=3.77$ ).
Weakest areas
- Formal literacy education exposure ( $\bar x=3.45$ , Rank 9).
- Defining basic terms (interest, credit score) ( $\bar x=3.44$ , Rank 10).

RQ 2 – Factors Shaping Online Purchases (Table 2)

Composite $\bar x=4.13$ (“Often/Always”).
Always-considered cues
- Reading reviews & ratings ( $\bar x=4.61$ , tied 1).
- Seeking discounts/coupons ( $\bar x=4.61$ , tied 1).
- Comparing retailer prices ( $\bar x=4.30$ ).
- Shipping/delivery options ( $\bar x=4.27$ ).
- Product price itself ( $\bar x=4.23$ ).
Lower-weight aspects
- Impulse tendency online ( $\bar x=3.73$ ).
- Checking return/refund policies (lowest, $\bar x=3.71$ ).

RQ 3 – Barriers (Table 3)

Composite $\bar x=3.62$ (“Often”).
Key hindrances
- Misconception “lower price = saving” ( $\bar x=3.82$ , Rank 1).
- Confusion despite specialised subjects ( $\bar x=3.79$ , tie Rank 2).
- Digital upbringing/peer influence toward impulsivity ( $\bar x=3.79$ , tie Rank 2).
- Difficulty transferring theory to practice & budgeting ( $\bar x=3.70$ ).
- Overwhelm from tech changes ( $\bar x=3.41$ ).
- Least barrier: perception coursework useless ( $\bar x=3.36$ ).

RQ 4 – Aid of Financial Subjects (Table 4)

Composite agreement $\bar x=3.62$ (“Agree”).
Most endorsed impacts
- Heightened recognition of budgeting/saving importance ( $\bar x=4.05$ , Rank 1).
- Better conceptual grasp ( $\bar x=3.85$ ).
- Skills for effective money management ( $\bar x=3.82$ ).
Issues needing strengthening
- Confidence resisting impulses ( $\bar x=3.59$ , last).
- Translating lessons to real-life buys ( $\bar x=3.65$ ).

RQ 5 – Correlation Test (Table 5)

Pearson coefficient $r=0.51$ → moderate positive.
p=0.000<0.05 → significant; null hypothesis rejected.
Interpretation: higher applied literacy → more judicious online purchase decisions.

Thematic Insights (Qualitative)

1 – Influences on Purchases

Advertisements: high-quality multimedia accelerates product discovery.
Trustworthy influencers: dermatologists or favourite content creators sway choices.
Reviews & brand trust: meticulous feedback scanning for authenticity, quality.
Needs-driven buying: necessity overrides promo hype.
Peer/friend recommendations: social validation important.
Curiosity/interest sparks: novel items ignite exploration.

2 – Barriers to Sound Decisions

Financial challenges: limited allowances, weak family support.
Peer/environment pressures: mimic friends’ spending, FOMO.
Lack of budgeting skills: impulse buys, uncertainty in planning.
Unexpected struggles: sudden consecutive expenses derail plans.

3 – Coursework Contributions

Decision-making reflection: diaries, spending audits, “think-before-click.”
Budgeting & awareness: specialised ABM subjects cultivate habit of allocation.
Critical thinking: differentiate needs vs wants, scrutinise ads.
Knowledge application: using concepts (risk/return, price-quality heuristic) for everyday choices.

Discussion & Interpretation

Literacy strengths align with self-regulation theories: competent budgeting fosters disciplined consumption.
Pricing, reviews, logistics dominate decision calculus → rational, information-search behaviour (consistent with Information Search Theory).
Persistent misconceptions & impulse triggers indicate attitude-behaviour gap; knowledge alone not sufficient (Theory of Planned Behaviour).
Moderate $r$ value implies other variables (marketing tactics, socio-emotional factors) also shape decisions.

Practical & Ethical Implications

Educators: integrate experiential tasks (budget simulations, mock online carts, reflective journals).
Policy-makers: mandate financial-literacy modules with digital-marketplace focus.
Platforms: responsible nudging—transparent pricing, easy-to-find return policies.
Ethical marketing: avoid exploitative scarcity tactics on minors.

Recommendations

Combine theory with hands-on budgeting, investing mini-games.
Continuous curriculum updates to cover new fintech trends (e-wallets, BNPL).
Foster peer-led workshops to convert social influence into positive budgeting norms.
Develop adaptive apps that coach students in real time (e.g., spending alerts, goal trackers).

Key Numbers & Equations

Sample sizes: $N{quant}=66$ , $N{qual}=10$ .
Likert scale interpretation bands: Always 4.21-5.00, Often 3.41-4.20, Sometimes 2.61-3.40, Rarely 1.81-2.60, Never 1.00-1.80.
Pearson correlation computation: $r=0.51$ , $p=0.000$ .
Highest mean in literacy table: $\bar x_{save\,importance}=3.95$ .
Highest mean in purchasing factors: $\bar x{discounts}=\bar x{reviews}=4.61$ .

Conclusion

Grade 12 ABM students show respectable but incomplete financial literacy; practical application lags.
Buying behaviour is predominantly rational yet still susceptible to impulsive triggers.
Finance-focused subjects provide foundational benefits but need richer, applied experiences.
Statistically validated link (moderate $r$ ) signals that boosting applied literacy can measurably improve online consumer choices.