Matter and Progression of Research Built on the Global Entrepreneurship Monitor (GEM)
The learning objectives which align with this case study include being able to:
- Synthesize research variables
- Illustrate the impact of research
- Compare scales of measurement
- Examine differing types of research studies
Team Case Study: A Gem of a Study
Table of Contents
TOC \o "1-3" \h \z \u Abstract PAGEREF _Toc94954355 \h 3
Introduction ……………………………………………………………………….4
Team Case Study: A Gem of a Study PAGEREF _Toc94954356 \h 4
Independent & Dependent Variables PAGEREF _Toc94954357 \h 4
Intervening, Extraneous, and Moderating Variables PAGEREF _Toc94954358 \h 4
Casual Study Without Controlling Variables. PAGEREF _Toc94954359 \h 6
Impact of Key Informants on Study Results. PAGEREF _Toc94954360 \h 6
Casual Study Using Interval, Ordinal, and Descriptive Opinion as Primary Data.8
Conclusion ………………………………………………………………………8
Abstract
Analyzing the matter and progression of research built on the Global Entrepreneurship Monitor (GEM) in this paper will provide information regarding the variables and frameworks used in such studies.
Keywords: GEM, Variables
Team Case Study: A Gem of a Study
Promoting entrepreneurial activity was prevalent during periods of economic downturn. Researchers believed that by increasing and expanding new business ventures and ideas, it would ultimately lead to improving the economy. Project directors of The Global Entrepreneurship Model (GEM), along with Kauffman Center for Entrepreneurial Leadership of Ewing Marion Kauffman Foundation teamed up to conduct research that would depict what concepts, government policies, and initiatives would generate high levels of entrepreneurship. These researchers utilized data from 9 separate nations to conclude their findings. Additionally, the study aimed to determine a new conceptual model of cultural, economic, physical, and political factors to make a decision of what could lead to successful economic growth.
Independent & Dependent Variables
The independent variables in this study consist of entrepreneurial opportunities, entrepreneurial capacity, entrepreneurial framework conditions, and general national framework conditions as found through the GEM Conceptual Model. Since the variables are not dependent on one another and can be manipulated as needed, they are completely independent. There are numerous concepts within the independent variables that deliver an opportunity to supplement additional insight to the type of the constructs and thus breakdown such multifaceted independent variables into plainer and quantifiable elements. The dependent variables consist of the construct of business dynamics as well as interest due to including new job conception, progression, dissolution, and reduction.
Intervening, Extraneous, and Moderating Variables. Implementing various types of variables into research can prove to be beneficial in determining a desirable and informative outcome. Variables are key components that are utilized to facilitate accurate explanation of what information is being researched. Some of the most widely used types of variables are intervening, extraneous, and moderating.
Intervening variables are considered to be hypothetical variables that affect dependent variables, but are not observed or have not been measured (Schindler, 2022). These variables derive from inferences of an idea between independent and dependent variables. In the GEM of a Study case, the intervening variable that the study aimed to control with its 9-nation design was the correlation between the government, and their ideas to flourish during an economic downturn, with entrepreneurial activity and the increased entrepreneurial activity. In the 9-nation design, the study is committed to identifying how the many different factors, including culture, equity, debt, R&D, education, subcontractor, and legal/banking could have an effect on the development of entrepreneurial ventures.
Extraneous variables are variables to assume (because it has little effect or its impact is randomized) or excluded from a research study (Schindler, 2022). Extraneous variables are any variables that the researcher does not intentionally study in the experiment, but could potentially affect the outcome of the research study (Bhandari, 2