A Comparative Analysis of Different Sampling Methodologies for the Purpose of Evaluating Consumer Risk Perception

Authors

  • Nitin Gotan Patil, Reliance Jain, Sanjay T Purkar

Keywords:

Consumer Chance Notion, Sampling Methodologies, Probability Sampling, Non- Opportunity Sampling, Stratified Sampling, Convenience Sampling, Quota Sampling, Research Reliability, Sampling Bias, Choice-Making, Marketplace Behavior, Methodological Rigor.

Abstract

This study investigates the impact of unique sampling techniques on the evaluation of customer threat perception. Because hazard perception affects consumer decision-making and market behavior, it is critical for businesses and legislators to comprehend it. To determine their efficiency in capturing images from different angles, the study contrasts possibility-based tactics (like stratified sampling) with non-chance techniques (like convenience and quota sampling). Statistical tools were used to analyze data from different patron companies in order to evaluate the validity, reliability and potential biases of each method. Results show notable variations in outcomes, highlighting the critical role that sampling strategy plays in the accuracy of research. The study offers recommendations for choosing suitable approaches, which enhances the rigor of consumer risk or alpha risk research.

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Published

18.09.2024

How to Cite

Nitin Gotan Patil. (2024). A Comparative Analysis of Different Sampling Methodologies for the Purpose of Evaluating Consumer Risk Perception. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 2343 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7995

Issue

Vol. 12 No. 22s (2024)

Section

Research Article

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