Gem Case Study Question Answers

Length: 4 pages Sources: 4 Subject: Education Type: Question Answers Paper: #38936813 Related Topics: Variable, Christian, God, Correlation
Excerpt from Question Answers :

Causation vs Correlation and the Effects of Bias on Research


1. What are the independent and dependent variables in this study?

Dependent variable: entrepreneurship activities

Independent variable: activities (promotion, facilitation, long-term commitment to secondary education, developing the capacity of a society to accommodate the higher levels of income disparity, and creating a culture that validates and promotes entrepreneurship throughout society)

2. What are some of the intervening, extraneous, and moderating variables that the study attempted to control with its 10-nation design?

· Innovation

· Culture

· Economy (GDP)

· Geography and politics (geopolitics)

· Proximity to needed supply chains

· Available resources

· Government subsidies

3. Can you do a causal study without controlling intervening, extraneous, and moderating variables?

Extraneous variables should be controlled when possible but it is not always possible to control for them all as they are extraneous. Intervening variables are only


One cannot determine or control their influence. Moderating variables can be controlled to some extent as they are identifiable and may impact the relationship between the independent and the dependent variable (Bauman, Sallis, Dzewaltowski & Owen, 2002; MacKinnon, 2011).

4. What is the impact on study results of using national experts (key informants) to identify and weigh entrepreneurial framework conditions?

The impact on study results of using national experts to identify and weigh entrepreneurial framework conditions is that it introduces bias into the study. It provides a way to measure and entrepreneurial stimulation, but the measures all come from the ways in which the key informants see and judge entrepreneurship. These views may be different among other populations. Experts are not always clinically sound or even 100% objective in their views (Commons, Miller & Gutheil, 2004). One can also have selection bias in terms of what informants to accept as “experts” for the study’s purposes (Pal, Harper & Konstan, 2012).

Bias is a natural condition in man, which is why it is so hard to root it out in a study. As Scripture notes, only Christ is free of all bias in terms of how He looks at people and the world, because He is looking at things from the standpoint of God—and since He is God, He knows what the right way to see things actually is. Two quotes from Scripture that illustrate this point are: “They came and said to Him, ‘Teacher, we know that You are truthful and have no personal bias toward anyone; for You are not influenced by outward appearances or social status, but in truth You teach the way of God. Is it lawful [according to Jewish law and tradition] to pay the poll-tax to [Tiberius] Caesar, or not?’” (Mark 12:14). In this quote, the Pharisees recognize (even though they themselves are acting falsely) the justness of Christ when they point out that He is…

Sources Used in Documents:


Bauman, A. E., Sallis, J. F., Dzewaltowski, D. A., & Owen, N. (2002). Toward a better understanding of the influences on physical activity: the role of determinants, correlates, causal variables, mediators, moderators, and confounders. American journal of preventive medicine, 23(2), 5-14.

Commons, M. L., Miller, P. M., & Gutheil, T. G. (2004). Expert witness perceptions of bias in experts. Journal of the American Academy of Psychiatry and the Law Online, 32(1), 70-75.

Curtis, E. A., Comiskey, C., & Dempsey, O. (2016). Importance and use of correlational research. Nurse researcher, 23(6).

MacKinnon, D. P. (2011). Integrating mediators and moderators in research design. Research on social work practice, 21(6), 675-681.

Pal, A., Harper, F. M., & Konstan, J. A. (2012). Exploring question selection bias to identify experts and potential experts in community question answering. ACM Transactions on Information Systems (TOIS), 30(2), 1-28.

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