Just like any other kind of design, the process of designing a research project is creative, even artistic. And like other kinds of design, a good one works well and a bad one will just make a mess. Here are the steps to designing a good research project:
Step 1. Articulating Different Points of View about an Issue
The  success of a 
research design project depends on knowing and  understanding how people
 understand the issue you plan to research. It is important to be able to articulate how you understand an issue as well as to articulate other perspectives. 
 Your own perspective will be very important to your research design,
  but it will also be important to "see" your issue from other perspectives. In your literature review you will discuss the other ways people understand your issue.
  Therefore,  the 
first step in the research design process is to see what people  have 
said already about the Big Questions around you want to research. You need to discuss and then explain where your research fits into 
the overall “conversation” in the literature on this topic.
Elsewhere we will 
discuss further the qualities of a good literature review.  But the 
first rule is: the sources you use in a literature review should also be
 well designed.  That is, you should ascertain whether or not the source
 you are citing followed the design steps laid out here.  Papers that 
are peer reviewed
 are more likely to be well designed.  Papers coming from policy 
organizations with agendas may not be open about articulating those 
agendas.  However, they will be very good at viewing a particular issue 
according to a particular perspective.  Major policy organizations 
depend on maintaining a reputation and may be more transparent in terms 
of their criteria.  However, many papers that call themselves research 
papers are in fact advocacy pieces.
  It  is good practice to learn how to write an advocacy piece where you
  clearly articulate and defend one opinion, and you may be asked to 
write  such pieces based on your research.  However, that is not the 
goal of this course.
Step 2. Defining your research question
After you have looked at the conversation  surrounding your 
topic, you need to clearly define a research question.  In some cases, you will be going the other way around, asking a question and then asking how this question helps us understand Big Questions.  Your question 
may change during the research process, but efficient and  focused 
research requires that you always have a research question  clearly in 
mind as you look for information and evidence. 
The literature review and research question process is often iterative:
  once you formulate your research project, you may find that you may  
need to go back and read more of what others said, refine your criteria 
 again, and re-state your research question in a somewhat different way.
  This will also mean that you may have to rework Step 3 as well.
Once you start gathering evidence to 
answer your research question, you are likely to get into the boundary 
problem.  A good researcher is efficient and focused on gathering the 
information necessary to answer a specific research question.  This  
involves making constant decisions about the boundaries of the issue  
being researched, asking, “Do I need to expand my gathering of data in  
order to answer my question, or is my field of data-gathering  
sufficient?” Or, “Am I trying to gather too much information to answer a
  focused question?  Will I get lost in my research?” Or, "Is my question too big to answer adequately in 10 weeks and 20-25 pages?"
Step 4. Designing your measurement strategy
Next  you need to 
design your measurement strategy. Like  any other  
kind of design, if you design it well, it will be efficient and  will  
create a good product. Well-designed measurement strategies are based  on 
 fulfilling Steps 1-4. However, if you come up with your question first, you will need to iterate between your question and these steps.
To  design a good 
measurement strategy, you will need some tools.  In  particular, you 
need to understand how to use the concept of validity as a tool to make your measurement design work well.
Step 5: Carrying out your research and analyzing the results
If you used Steps 
1-4 to design your research, this part should be straightforward.  
However, most good research leads to at least one Surprise – that is, 
results that you didn’t expect.  An unexpected result is not the product
 of a bad research design.  In fact, research that is designed to get 
expected results is usually not well-designed research.  The  best 
research designs always give you more knowledge than you know what  to 
do with, and more than your research strategy set  out
 to do.
Step 6. Understanding trade-offs of alternative designs
Research designs 
never satisfy all of the identified requirements necessary to answer a 
research question.  In  your final conclusion, you need to identify the 
limitations and  comparative trade-offs associated with the research 
design you chose.
Step 7: Conclusion
Your conclusion depends on the kind of paper you are writing.  If you are researching a policy question (Policy Analysis), you will at the end of your paper introduce your policy proposal or policy reform.  You
  also, at this point, will discuss the tradeoffs involved in choosing this  
policy option over another.  If you are evaluating a program (Program Evaluation)
  then you are asking whether the program works, looking at various  
criteria that defines "works" and creating a measurement machine that  
collects data according to those criteria.  But in all cases, in the conclusion, you will return to the Big Questions and tell us how your research contributes to answering those larger questions.
 
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