Abstract:
Purpose- The purpose of this paper is to validate the different factors considered in a
questionnaire through statistical analysis of pilot data. The questionnaire was designed to run a
survey to find out the vegetable supply chain efficiency.
Design/Methodology/Approach- The Cronbach's Alpha statistical analysis was conducted on
the pilot data collected from seventy respondents based on sample frame design. The different
factors used to design the questionnaire to run the pilot study were validated. The questionnaire
was revised for further use based on the statistical analysis.
Findings- It was observed that most of the factors are adequately designed for the questionnaire
and are above the acceptable limit of 0.7 for Cronbach's alpha. The four channels which are
selected for calculating the efficiency are adequate and we do not need to add additional option
as 'others'. All other channels resemblance the properties of the four basic channels and we
should focus on those basic channels in our data collection. It was also observed that some of the
factors for harvesting efficiency are overlapping and can be grouped as one. Few questions on
marketing and demand management are found to be redundant and can be deleted from final
questionnaire. Overall, it leads to a robust questionnaire for main data collection.
Research limitations/implications- The data analysis is based on the pilot data of selected
districts which is assumed to be representative of the overall sample frame. There may be a need
for minor adjustment during full-fledged data collection.
Practical implication- This study will help in designing a robust questionnaire which will be
used as an effective tool for full survey. |
