{"id":23994,"date":"2026-01-18T17:59:25","date_gmt":"2026-01-18T12:29:25","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23994"},"modified":"2026-01-18T17:59:25","modified_gmt":"2026-01-18T12:29:25","slug":"a-comparative-analysis-of-consumer-brand-preference-among-selected-apparel-brands-using-anova","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23994","title":{"rendered":"A Comparative Analysis of Consumer Brand Preference among Selected Apparel Brands Using ANOVA"},"content":{"rendered":"

A Comparative Analysis of Consumer Brand Preference among Selected Apparel Brands Using ANOVA<\/strong><\/p>\n

Author<\/h2>\n

Bijoyeesmita Das<\/strong><\/p>\n

Introduction<\/h2>\n

The Indian apparel retail industry has witnessed significant growth due to changing consumer lifestyles, rising disposable income, and increased brand awareness. Brands such as Zara, H&M, Levi\u2019s, and Westside compete intensely by offering varied pricing strategies, designs, and customer experiences. Understanding consumer preference among these brands helps companies improve their market positioning. Statistical tools like ANOVA help determine whether differences in consumer rankings across brands are significant or merely due to chance.<\/p>\n

Objective<\/h2>\n

To calculate beta and observe its significance.<\/p>\n

Literature Review<\/h2>\n

Literature Review 1<\/strong>
According to Abesco Research (2021), statistical techniques such as ANOVA are widely used in marketing research to analyze consumer preferences across multiple brands. The study highlights that ranking-based surveys provide meaningful insights into brand perception when combined with hypothesis testing.<\/p>\n

Literature Review 2<\/strong>
Abesco Research (2022) emphasizes that consumer decision-making in the retail apparel sector is influenced by brand image, price sensitivity, and perceived quality. The research suggests that comparative analysis across brands allows firms to understand competitive strengths and weaknesses more effectively.<\/p>\n

Data Collection<\/h2>\n

The data were collected using a Google Form survey from 40 respondents. Respondents were asked to rank four apparel brands\u2014Zara, H&M, Levi\u2019s, and Westside\u2014on a scale of 1 to 10 based on their preference. The collected data were used for statistical analysis.<\/p>\n

Data Analysis<\/h2>\n

A Single Factor ANOVA<\/strong> test was applied to examine whether there is a statistically significant difference in the mean rankings of the four brands.<\/p>\n

From the ANOVA output:<\/p>\n