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

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 t...

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Bibliographic Details
Main Author:	Eager, Bronwyn (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications Ltd, 2019.
Series:	SAGE Research Methods. Cases.
Subjects:	Entrepreneurship > Research > Case studies. Quantitative research > Case studies. Stress (Psychology) > Case studies. Burn out (Psychology) > Case studies. Businesspeople > Job stress > Australia > Case studies. Entrepreneurship > Australia > Statistical services > Case studies. Entrepreneuriat > Recherche > Études de cas. Recherche quantitative > Études de cas. Stress > Études de cas. Épuisement professionnel > Études de cas. Gens d'affaires > Stress dû au travail > Australie > Études de cas. Entrepreneuriat > Australie > Services statistiques > Études de cas. Burn out (Psychology) Entrepreneurship > Research. Quantitative research. Stress (Psychology) Australia. Case studies.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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 abandoned́representing 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.
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526468093 1526468093