ResearchProposalPart2.pdf

RSCH 600 Term Paper II

TERM PAPER PART 2: in Quantitative Methods
Due: June 18, 2021 (midnight)

The purpose of the assignment is to develop skills associated with selecting and applying methods for data collection,
stationary and time series data analysis, and hypothesis testing. The final part of your Term Paper is your Research
Proposal. It contains the first parts of your Term Paper 1 and preliminary findings with quantitative methods. Here, Model
(conceptual framework), data source and sampling, preliminary finding (pilot test) are the main components to
build on the existing research proposal. See the details below.

The quantitative methods part of your research proposal should include the following sections in addition to the sections
from term paper 1:

Research Methods

In continuation from the Methodology section that you developed under Term Paper 1, (1) Provide a concrete conceptual
framework (theory) and model that allows to capture the core research problems under this study. (2) Specify the actual
data type and source for the analysis. NB: Review and carefully address the feedback on your research methodology part
provided from Term Paper 1.

The key components and questions you need to cover here are:
What methods do you plan to use to answer your research question? Why? What kinds of instruments, variables,
materials, or sources will you use (i.e. will you use observations, surveys, interviews, case studies, focus groups,
experiments, documents, media, database searches, etc.)? If you plan to use mixed methods, will they be sequential,
concurrent or transformative? Why?
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.
If you plan to use research participants, where will they come from? How will they be sampled? How many participants will
you require? 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?
How will you analyze the data/information you collect? How will you validate your findings/conclusions?
What ethical issues will your research project present? What biases might you bring to the research and how will you
address that bias?

Data collection
Identify the sources that will offer the information that you need to answer the research question (journals, books, internet
resources, government documents, people, etc).

1. What data do you plan to acquire to answer your research question? Why? What kinds of instruments, variables,
materials, or sources will you use (i.e. will you use observations, surveys, interviews, case studies, focus groups,
experiments, documents, media, database searches, etc.)? If you plan to use mixed methods, will they be
sequential, concurrent or transformative? Why?

2. 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.

3. If you plan to use research participants, where will they come from? How will they be sampled? How many
participants will you require? 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?

4. research topics related to events that develop in time.
Explain how would you acquire a snapshot of data 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?

5. What ethical issues will your research project present? What biases might you bring to the research and how will
you address that bias?

Analysis of stationary data (for time series data structure)
1. What method will you choose to analyze the stationary data that you plan to collect?
2. Has this method of data analysis been applied in similar situations by other authors? Include references and

illustrations from the literature to show the advantages and disadvantages of the method.
3. Attach a worked-out example of application of the method using simulated or previously published data.
4. How will you validate your findings/conclusions?

Testing hypotheses
1. State your hypotheses.
2. Explain whether your hypotheses will be tested using a frequentist or Bayesian approach, and justify the choice.
3. Have similar hypotheses been tested by other authors? Include references and illustrations from the literature.
4. Attach a worked-out example of hypothesis testing using simulated or previously published data.
5. How will you validate your findings/conclusions?

Analysis and forecasting of time series (regression analysis)
1. What method will you choose to analyze and forecast the time series data that you plan to collect?
2. Have these methods of data analysis and forecasting been applied in similar situations by other authors? Include

references and illustrations from the literature to show their advantages and disadvantages.
3. Attach a worked-out examples of analysis and forecasting using simulated or previously published data.
4. How will you validate your findings/conclusions?

Apendexis

Append any relevant content including the literature map, graphical presentations that do not fit into the body of the
proposal, questionnaire (where applicable), timetable, budget proposal, etc.

GRADING CRITERIA II

Part 2 Grading Criteria (35
points)

Exemplary Proficient Marginal Nil Maximums

Student included a valid work
plan and deliverable

4 3 2 0 4

Student proposed appropriate
research method addressing the

research question

5 4 3 0 5

Student included valid reference.
Plus, APA formatting of

references is valid

3 2 1 0 3

Student’s command of the
English language is acceptable

(reasonably good grammar,
syntax, word choice,

punctuation, etc.)

3 2 1 0 3

Student organizes data for
analysis

5 4 3 0 5

Student applies appropriate
model to data analysis and

provides preliminary results and
discussion

5 4 3 0 5

Final Research Proposal Quality
and Feasibility. Plus, originality

and novelty of the Research
Proposal

5 4 3 0 5

Totals

30%
Percentage

100.00%