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 don’t 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.