Quantitative Analysis Assume that you are a consultant engaged in a project to i

Quantitative Analysis
Assume that you are a consultant engaged in a project to implement a major high-speed overpass extension to the most congested highway, linking rural provinces to a major Asian city of 12 million people. A major feature of this project is to implement an electronic toll collection system for this high-speed segment. The objective of the entire project was not just to relieve congestion, lower the cost of operating vehicles, and improve the quality of transport services. It was also initiated to help address the loss of revenue resulting from an antiquated and corruption-ridden system of manual toll collection.
You helped implement the toll collection system and returned three years later to evaluate the effectiveness of the program. Data on toll collections and traffic volumes are available on a day-to-day basis.
For this Assignment:
Discussion, review this week’s Learning Resources and examine the effectiveness of the project.
Please respond to the following questions below:
1) Post an explanation of how you would analyze data for this type of project.
2) Include in your explanation the type of design and analysis you might use to address the problem.
3) Suggest another type of data you might find useful and other techniques of analysis you might employ.
4) Provide a rationale for your suggestions.
LEARNING RESOURCES
• Langbein, L. (2012). Public program evaluation: A statistical guide (2nd ed.). Armonk, NY: ME Sharpe.
• McDavid, J. C., Huse, I., & Hawthorn, L. R. L. (2019). Program evaluation and performance measurement: An introduction to practice (3rd ed.). Thousand Oaks, CA: Sage.
• Spiers, N., Manktelow, B., & Hewitt, M. J. (2009). Practical statistics using SPSS. Download Practical statistics using SPSS. Retrieved from http://www.rds-yh.nihr.ac.uk/wp-content/uploads/2013/05/13_Practical_Statistics_Using_SPSS_Revision_2009.pdf
• Walter, S. J. (2009). Using statistics in research. Download Using statistics in research. Retrieved from http://www.rds-yh.nihr.ac.uk/wp-content/uploads/2013/05/14_Using_Statistics_in_Research_Revision_2009.pdf
• Institute for Digital Research and Education (IDRE). (2013). What statistical analysis should I use?Links to an external site. Retrieved January 5, 2015, from http://www.schwarzpartners.ch/Applied_Data_Analysis/Lecture%2012_EN%20Workshop%20UCLA%20Decision%20Tree.pdf
• http://www.schwarzpartners.ch/Applied_Data_Analysis/Lecture%2012_EN%20Workshop%20UCLA%20Decision%20Tree.pdf
Optional Resources
• Blank, R. M. (2002). Evaluating welfare reform in the United States. Journal of Economic Literature, 40(4), 1105–1166.
• Lance, P., Guilkey, D., Hattori, A., & Angeles, G. (2014). How do we know if a program made a difference? A guide to statistical methods for program impact evaluationLinks to an external site.. Measure Evaluation. https://www.measureevaluation.org/resources/publications/ms-14-87-en.html
• Evans, W. N., Farrelly, M. C., & Montgomery, E. (1999). Do workplace smoking bans reduce smoking? American Economic Review, 89(4), 728–747.