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Here, the research could directly observe the manner in which drones are used and could make count of the proportion between causalities and roadside bombings through that duration.
b. Where would you conduct the observational field research?
For the present research, this could best be accomplished by placing the research in Afghanistan for a period of observation.
c. List your dependent and independent variables from your course research project's hypothesis and provide a short explanation for what you would observe that would measure this variable and contribute to your course research data collection.
Dependent Variable:
The dependent variable is the number of roadside bombings occurring in Afghanistan during a measured duration. The observational field research described above could provide an opportunity to make count of these bombings during a sample space of time.
Independent Variable 1:
The independent variable of Predator drone usage could be measured also through observational count of daily flyover schedules.
Independent Variable 2:
Another independent variable, that of enemy combatant casualties, could be counted through direct...
Surveys:
a. Would a survey contribute useful data for your course research project?
In this context, a survey could be particularly valuable as a way to collect qualitative data regarding the perception of veteran servicemen and women of the use of drones as a deterrent.
b. What is the population for your survey and what is the corresponding sample size you would need for a 95% confidence level in the survey results?
The personnel selected would be veterans of the War in Afghanistan of variant rankings.
c. Provide a short discussion of how you would carry out such a survey.
This would be achieved using a Likert Scale survey and distributing it through the print medium and with the assistance of various veterans affairs groups.
Works Cited:
Coppedge, M. (2002). Theory Building and Hypothesis Testing: Large- vs. Small-N Research on Democratization. Annual Meeting of the Midwest Political Science Association, Chicago, Illinois.
United States General Accounting Office (GAO). (1992). Quantitative Data Analysis: An Introduction. Program Evaluation and Methodology Division.
Works Cited:
Coppedge, M. (2002). Theory Building and Hypothesis Testing: Large- vs. Small-N Research on Democratization. Annual Meeting of the Midwest Political Science Association, Chicago, Illinois.
United States General Accounting Office (GAO). (1992). Quantitative Data Analysis: An Introduction. Program Evaluation and Methodology Division.
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