{"title":"A Detailed Guide on Converting Qualitative Data into\n Quantitative Entrepreneurial Skills Survey Instrument","authors":"M. Rich, Ann Brown, A. Banerjee","doi":"10.34190/JBRM.17.3.001","DOIUrl":null,"url":null,"abstract":"Mixed‑methods research designs are increasingly popular,\n especially in the management domain because they hold the potential\n to offset the weaknesses inherent in mono‑method, qualitative or\n quantitative designs. In entrepreneurship research, the domain in\n which this study is located, mixed‑method studies are conducted\n mostly according to a sequential‑exploratory design with an aim of\n developing and validating theory in a single research study. In some\n studies, the qualitative phase is used to develop a questionnaire,\n which is more common. However, the actual process of converting\n qualitative data into operationalised constructs and survey items is\n usually not clearly articulated. This creates an opportunity to\n contribute to a better understanding of the process of transitioning\n from a qualitative to a quantitative study. This paper proposes such\n an approach, using an example of a study of the skills entrepreneurs\n use to start and run their businesses. In the qualitative phase,\n interviews were conducted with 20 entrepreneurs and 6 national\n experts to discover the skills required by entrepreneurs to start\n and manage their businesses. Data analysis, using computer assisted\n qualitative data analysis software, resulted in nine groups of\n skills considered important in performing entrepreneurial\n activities. Based on qualitative analysis, the study provides a\n detailed account of the process of converting qualitative data into\n a quantitative survey questionnaire, which will enhance the\n effectiveness of mixed‑methods designs. The developed\n entrepreneurial skills questionnaire was tested and validated on a\n sample of 235 entrepreneurs. The article concludes with implications\n for mixed‑methods researchers who want to develop new instruments,\n and scholars conducting research on entrepreneurial skills.","PeriodicalId":38532,"journal":{"name":"Electronic Journal of Business Research Methods","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Journal of Business Research Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34190/JBRM.17.3.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 2
Abstract
Mixed‑methods research designs are increasingly popular,
especially in the management domain because they hold the potential
to offset the weaknesses inherent in mono‑method, qualitative or
quantitative designs. In entrepreneurship research, the domain in
which this study is located, mixed‑method studies are conducted
mostly according to a sequential‑exploratory design with an aim of
developing and validating theory in a single research study. In some
studies, the qualitative phase is used to develop a questionnaire,
which is more common. However, the actual process of converting
qualitative data into operationalised constructs and survey items is
usually not clearly articulated. This creates an opportunity to
contribute to a better understanding of the process of transitioning
from a qualitative to a quantitative study. This paper proposes such
an approach, using an example of a study of the skills entrepreneurs
use to start and run their businesses. In the qualitative phase,
interviews were conducted with 20 entrepreneurs and 6 national
experts to discover the skills required by entrepreneurs to start
and manage their businesses. Data analysis, using computer assisted
qualitative data analysis software, resulted in nine groups of
skills considered important in performing entrepreneurial
activities. Based on qualitative analysis, the study provides a
detailed account of the process of converting qualitative data into
a quantitative survey questionnaire, which will enhance the
effectiveness of mixed‑methods designs. The developed
entrepreneurial skills questionnaire was tested and validated on a
sample of 235 entrepreneurs. The article concludes with implications
for mixed‑methods researchers who want to develop new instruments,
and scholars conducting research on entrepreneurial skills.
期刊介绍:
The Electronic Journal of Business Research Methods (EJBRM) provides perspectives on topics relevant to research methods applied in the field of business and management. Through its publication the journal contributes to the development of theory and practice. The journal accepts academically robust papers that contribute to the area of research methods applied in business and management research. Papers submitted to the journal are double-blind reviewed by members of the reviewer committee or other suitably qualified readers. The Editor reserves the right to reject papers that, in the view of the editorial board, are either of insufficient quality, or are not relevant enough to the subject area. The editor is happy to discuss contributions before submission. The journal publishes work in the categories described below. Research Papers: These may be qualitative or quantitative, empirical or theoretical in nature and can discuss completed research findings or work in progress. Case Studies: Case studies are welcomed illustrating business and management research methods in practise. View Points: View points are less academically rigorous articles usually in areas of controversy which will fuel some interesting debate. Conference Reports and Book Reviews: Anyone who attends a conference or reads a book that they feel contributes to the area of Business Research Methods is encouraged to submit a review for publication.