Research proposal
Checklist for Term paper 2
This checklist is designed to elaborate on the key points of the term paper.
General: o You research method should be either quatitative or mixed method.
o No page limit but strictly follow the APA style (font size, spacing, citation, paragraph
structures, etc).
o Submit Term Paper 2 in Turnitin . No need to include your Part one here.
o On the same day, submit the upgrade version of Term Paper 1 through Dropbox (email).
Data Collection: o What type of data do you plan to acquire to answer your research question? (Qualitative
or quantitative or Mixed?) and Why you choose that type of data?
? What kinds of instruments or materials will you use (observations, surveys,
interviews, case studies, focus groups, experiments, documents, media,
database searches, etc.)
? Identify the sources information that you need to answer the research question
(journals, books, internet resources, government documents, people, etc).
? If you plan to use mixed methods, will they be sequential, concurrent, or
transformative? and Why?
o List the kinds of data/information that you plan to collect (e.g. testimonials, statistics, business/government reports, other research data, audio/video recordings, etc.). Also, consider two or three alternative ways you could gather data/information for this research.
o If you plan to use research participants,
where will they come from (e.g from a list of employees of a factory, students of a university, Manages/supervisors, etc? )
How will they be sampled (e.g. random sampling, stratified sampling, purposeful sampling?)
How many participants will you require? (your sample size) and how you decided the number?
o If you are not using research participants,
who will you use as the target audience of your data? Who would most benefit from your research, and why?
o If your research topic is related to events that develop in time.
Explain how would you acquire a snapshot of data (a data at a particular point in time) relevant to your research question. Within the snapshot, the data become effectively stationary.
Consider the evolution of data with time. How would you acquire the time series data relevant to your research question?
o What ethical issues will your research project present? (You dont need to explain how will you address it)
o What biases might you bring to the research and how will you address that bias?
Analysis of (stationary) data:
o What method will you choose to analyze the stationary data that you plan to collect (e.g.
descriptive analysis, variance analysis, etc)?
o Has this method of data analysis you choose been applied in similar situations by other
authors? If yes (most likely Yes to all of you unless you developed a new methodology),
? Include references
o Annex a worked-out example of the application of the method using simulated or
previously published data (Optional).
o How will you validate your findings/conclusions?
Testing Hypothesis
o State your hypotheses ( the null hypothesis ONLY).
o Explain whether your hypotheses will be tested using a frequentist or Bayesian approach, and justify the choice.
o Have similar hypotheses been tested by other authors?
If yes, include references
o Attach a worked-out example of hypothesis testing using simulated or previously published data (Optional).
o How will you validate your findings/conclusions?
Analysis and forecasting of time series ( Answer this part ONLY if you
have Time Series Data)
o What method will you choose to analyze and forecast the time series data that you plan to collect? (Simple Index Number, Composite Index Number, Weighted Composite Price Index, etc)
o Have these methods of data analysis and forecasting been applied in similar situations by other authors?
If yes, include references.
o Attach worked-out examples of analysis and forecasting using simulated or previously published data (Optional).
o How will you validate your findings/conclusions?
Time Tabel and Budget Plan
o Show the time table for major activities on weekly or monthly basis.
o Show your budget plan for research related expenses.
