Leveraging a sample of more than 198,000 adult entrepreneurs, both currently involved in the startup of a business or formerly involved in business creation, this study investigates the perceptual, societal impression, economic, and demographic variables that are predictive with an individual's decision to engage in entrepreneurial activity. Guided by existing literature on cognition and social capital, as well as economics, the research attempts to establish an association between this decision and a holistic set of characteristics. The research considers whether perceptual and societal impression attributes, such as alertness to opportunities, aversion to risk, self-confidence, and whether entrepreneurship is a viable career choice, are significantly correlated with entrepreneurial engagement across countries in our sample. This study will be directed by the following research questions: What is the likelihood of an individual making the decision to participate in entrepreneurial activity (nascent or established) given his or her perceptual, demographic, economic, and societal impression variables? Specifically, (1) To what extent do perceptual variables predict different levels of entrepreneurial activity in globally diverse ecosystems?; (2) To what extent do demographic and economic variables predict different levels of entrepreneurial activity in globally diverse ecosystems?; (3) To what extent do societal impression variables predict different levels of entrepreneurial activity in globally diverse ecosystems?; (4) To what extent does an aggregate of factors predict different levels of entrepreneurial activity in globally diverse ecosystems? This study is designed to measure the impact of perceptual, demographic, economic, and societal impression variables on entrepreneurial activity. The study uses Global Entrepreneurship Monitor data from 2012 with a sample representing an estimated 74% of the world's population and 87% of the world's total GDP. The method for this research is quantitative in nature. In order to answer the four research questions, binomial logistic regression was conducted. A summary of the results, implications, and discussion are presented. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]