1. TITLE
A Comparative Study of Consumer Perceptions Across Four T-Shirt Brands
2. AUTHOR
Aasif Sheikh (Roll No: – 021331025008)
3. INTRODUCTION
In today’s highly competitive apparel market, consumer perception plays a crucial role in influencing purchase decisions and brand loyalty. Among apparel categories, T-shirts represent one of the most frequently purchased and widely used products due to their affordability, versatility, and comfort. With numerous brands offering similar designs and price points, understanding how consumers perceive different T-shirt brands becomes essential for businesses aiming to differentiate themselves and enhance customer satisfaction.
Consumer perceptions are shaped by multiple factors such as fabric quality, comfort, fit, durability, design, pricing, and overall value for money. In addition, brand reputation, online reviews, and past purchase experiences significantly influence consumers’ evaluations and repeat buying behavior. As digital platforms and e-commerce channels continue to expand, consumers increasingly rely on peer reviews and comparative assessments before making purchase decisions.
This study focuses on a comparative analysis of consumer perceptions across four selected T-shirt brands. By examining key attributes that influence consumer satisfaction and preference, the research aims to identify similarities and differences in how these brands are evaluated by consumers. The findings of this study will provide valuable insights for marketers, brand managers, and retailers to improve product offerings, pricing strategies, and customer engagement. Furthermore, the study contributes to a better understanding of consumer behavior in the apparel segment, supporting data-driven decision-making in a highly competitive retail environment.
4. OBJECTIVES
To apply Analysis of Variance (ANOVA) to examine whether statistically significant differences exist in consumer perceptions and brand equity among four T-shirt brands.
5. LITERATURE REVIEW
Consumer perception and brand equity have been widely studied as key determinants of purchase intention and brand loyalty in the consumer electronics industry, particularly in the laptop segment. Prior studies suggest that attributes such as product performance, design, price, reliability, after-sales service, and brand reputation significantly influence consumer perceptions (Keller, 2003). Researchers have emphasized that strong brand equity enhances perceived quality and reduces consumer risk during purchase decisions. Several empirical studies have applied statistical techniques such as Analysis of Variance (ANOVA) to compare consumer perceptions across competing brands and to identify whether observed differences are statistically significant. However, existing literature indicates mixed findings, with some studies reporting significant inter-brand differences, while others suggest homogeneity in consumer perceptions due to market saturation and comparable product offerings. This study contributes to the literature by empirically examining perceptual differences among four T-shirt brands using ANOVA.
6. DATA COLLECTION
The study employs quantitative research design based on primary data collected through a digital survey administered via Google Forms. A convenience sampling method was employed, yielding responses from 40 participants with prior experience or familiarity with T-shirt brands. The survey instrument was structured to capture comparative consumer perceptions of four T-shirt brands: Nike, Puma, Levi’s, and Roadster. Respondents were asked to evaluate each brand using an interval rating scale ranging from 1 (poor) to 10 (excellent) across overall perception and satisfaction parameters. This approach ensured uniformity in responses and facilitated direct comparison among the brands. The structured and standardized nature of the questionnaire provided reliable numerical data, forming a robust statistical base for conducting One-Way Analysis of Variance (ANOVA) to examine differences in consumer perception and brand performance across the selected T-shirt brands.
7. DATA ANALYSIS
|
ANOVA |
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|
|
|
|
|
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
9.86875 |
3 |
3.289583 |
1.472208 |
0.224263 |
2.662568549 |
|
Within Groups |
348.575 |
156 |
2.234455 |
|
|
|
|
|
|
|
|
|
|
|
|
Total |
358.4438 |
|
|
|
|
|
8. CONCLUSION
The findings of the study indicate that there is no statistically significant difference in consumer perception and brand equity among the four T-shirt brands considered. This suggests that consumers perceive these brands as relatively similar in terms of key attributes influencing brand equity. The results reflect increasing market standardization and comparable value propositions offered by competing T-shirt brands. For marketers, this highlights the need to focus on differentiation strategies beyond core product features, such as customer experience, service quality, and emotional branding. Future research may expand the sample size, include additional brands, or examine specific demographic segments to gain deeper insights.
9. REFERENCES
• Sekaran, U., & Bougie, R. (2020). Research Methods for Business. Wiley.
• Keller, K. L. (2003). Strategic Brand Management: Building, Measuring, and Managing Brand Equity. Pearson Education.