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Combining quantitative data obtained from convenience and panel sampling: a case for avoiding waste in data collection efforts in entrepreneurship research

Citation

Eager, B, Combining quantitative data obtained from convenience and panel sampling: a case for avoiding waste in data collection efforts in entrepreneurship research, SAGE Research Methods, London (2019) [Entry]


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Official URL: http://methods.sagepub.com/case/combining-quant-da...

DOI: doi:10.4135/9781526468093

Abstract

This case presents an overview of the challenges and issues I experienced when conducting a quantitative research program using survey-based methods to explore stress, coping, and burnout in Australian entrepreneurs. I focus on discussing data collection modes, namely, how I recruited participants through convenience and purposeful sampling (i.e., non-contracted data) as well as outsourcing participant recruitment to a panel management service (i.e., contracted data). Issues arose after statistical analysis showed that non-contracted and contracted data differed significantly, and as such could not be considered a single sample. The implication of this was that data from multiple sampling modes could not be aggregated for the main analysis. An a priori power analysis indicated that the number of participants in the non-contracted sampling group was not sufficient to obtain a desired level of statistical power to detect significant interaction effects in later analysis and these cases were subsequently abandonedórepresenting wasted efforts for myself and participants. In this case, I reflect on the research design, data collection, and analysis process and highlight several complexities associated with collecting data from entrepreneurs.

Item Details

Item Type:Entry
Keywords:entrepreneur, entrepreneurship
Research Division:Education
Research Group:Education Systems
Research Field:Higher Education
Objective Division:Education and Training
Objective Group:Other Education and Training
Objective Field:Education and Training Theory and Methodology
UTAS Author:Eager, B (Dr Bronwyn Eager)
ID Code:130834
Year Published:2019
Deposited By:Management
Deposited On:2019-02-15
Last Modified:2019-02-15
Downloads:0

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