The second half of paper will include data collection, analysis of (stationary)
The second half of paper will include data collection, analysis of (stationary) data, testing hypothesis, analysis and forecasting of time series, time table and budget plano No page limit but strictly follow the APA style (font size, spacing, citation, paragraph
structures, etc) 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?
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s operations. Be specific about how each technique could be applied and why you think it would be helpful.
