Methodology tutorial - finding a research subject
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This is part of the methodology tutorial.
Finding a research subject is trivial, if you have to pick it from a list that your professors define. On the other hand, if you have the liberty and the obligation to define your own, you may be surprised at how much time and effort it may take.
- Learning goals
- Understand the various parameters that you should look at
- Understand how to optimize the process
- Understand how important it is to be able to define a "big question"
- Learn that the big questions should then decline into a set of research objectives and research questions
- Moving on
- Level and target population
- Should be ok (no more)
Choice of a research subject
Finding a research subject is the first stage of a research project. This may seem obvious, but it is not. Students without tight advising often tend to identify just a research topic, but then fail to formulate a research subject in terms of precise research objects and research questions.
In other words: If you don't watch out, you are unlikely to know what you really are going to do and you will loose a few month...
The subject identification process
Finding a research subject is an iterative process and has to be done in several stages. The final formal step happens when you write the research plan and the final non-formal one happens when your really implement your research. E.g. you may find it necessary to add a new question or to downsize the initial project. Nevertheless, you really should aim to do plan as best as you can what you are going to do. This way you will get better advice and you will be done earlier.
There are several elements you should look at and we shall discuss them in more detail in the following sections
The most important phases of the process are roughly the following ones:
- Identify a few topics / subjects and make a "short list"
- Make explicit each potential subject
- Discuss with your professors (if you can)
- Explore the subjects (new short list), see: Readings and ideas
- Make a draft of the research plan and negotiate. See Anticipation of the research plan
- Make it official (consult your local procedure)
You should take some time and think about the larger implications of your projects (besides just getting a degree or publishing a paper).
Do you want to learn something ? Are there institutional constraints (e.g. does your employer wants you to do something for them) ? To you just strive for intellectual fun ? ....
Some questions you might ask:
- What should your job be in 3-4 years ?
- A thesis is part of your "profile", a "visit card"
- A thesis will teach you a lot, what do you wish to learn ?
- And your employer ?
- Is he interested in your master thesis
- can you marry academic work with the goals of your organization ?
- What would you consider to be real "fun" ?
- are you intrinsically motivated to do this ?
Identification of the central problem
Let's now look at the very core problem.
Firstly you must understand that a research subject is not just a topic ! It must be of some academic interest, for example: explain a phenomenon, identify processes, provide scientific arguments for an expertise, prove cognitive ergonomics of some software, demonstrate pedagogic effectiveness, invent new design rules, ...
The "big question"
- The big central question does not necessarily match the title of your project (which just can announcement of a vaguely stated research topic)
La “grande question”
- is a summary of your research question
- .... may also imply practical goals
Bad: “E-learning” in vocational teacher training
Good (a): Efficiency of e-learning in ...
Good (b): Perception of e-learning ....
Maybe: Analysis of e-learning practice in ...
(all these variants need further precision)
Objectives and research questions
Even if you did manage to phrase a good "big question", your intentions are still too vague. You will have tear your big question apart and make it more operational, i.e. make a least of research objectives.
You absolutely must make all your objectives explicit, else you are looking for conflicts and other problems.
It is mandatory that you must formulate research questions that cover your objectives.
You can write them as "working hypotheses" if appropriate
Research question then could be further detailed in terms of scientific hypothesis and that are based on theoretical argumentation
- It is much easier to deal with hypothesis than with more open research questions ....
Finding the right research questions / hypothesis is an iterative process.
- Usually you only get them right after having written a draft of the literature review !!
- Therefore, don’t start field research, development etc. before you have done some theory !
Let's look at two examples now.
Example: Etude pilote sur la mise en oeuvre et les perceptions des TIC
Luis Gonzalez, DESS thesis 2004. Ttranslation needed ....
Main goal: "Understand the factors that favor teacher’s use of ICT"
The author first defines 8 factors and then also postulates a few relationships among them. The 8 factors were found through a literature review.
Below we quote from the thesis (and not the research plan):
Engineering project: a system to support inquiry-based learning (IBL)
The goals of this research have been defined implicitly by deriving the specification of the software module from a known inquiry framework:
- L'enseignant peut ainsi créer un type de fiche qui correspond à l'activité qu'il a en tête, [....]
- Cette fiche donne une structure qui permettra aux apprenants de répondre à des questions [...] (étape 1 : Questionner).
- L’enseignant soumet l’activité aux apprenants qui peuvent créer une instance de la fiche type afin de faire l’exercice. [...]. Dès lors, ils recherchent les informations susceptibles de les aider à remplir les différents éléments de la fiche (étape 2 :Questionner), [...]
- Une fois les informations trouvées, l’apprenant rempli son instance de fiche, [...] (étape 3 : Créer),
- puis, au moyen de la visualisation des instances des autres apprenants et de la possibilité des commenter, il peut débattre avec les différentes personnes ayant fait la même fiche que lui (étape 4 : Discuter). [....] Enfin, il soumet son instance de fiche au professeur et/ou à l’expert associé à l’activité.
- La 5e étape du modèle (Réfléchir) peut être incluse dans l’activité de différentes manières, [...]
This master thesis clearly lacked precise research questions
- the big questions was: how should we design a system for IBL support (and can I do it ?)
- the driving operational questions were a specification based on a popular IBL model
- but it was accepted that this development would lay the basis for further research,
since such a tool did not exist before
- ( only preliminary usability testing was required from the thesis advisor )
Anticipation of the research plan
As we said before, at some point you will have to start working on a research plan. Here is an idea of what will enter the research plan
|What ?||A good question !
(the big question)
|* “So what” ? "What knowledge do we gain"|
|A (or more) good conceptual framework(s)
|* links your research to a larger identified issue,
Consider that your research plan should be ...
Be realistic !Prove that you have ...
A whole !
Readings and ideas
Who/what can help you finding a good subject
- Examples (other thesis in the same area)
- Academic articles
- Academic web sites like this one :)
- Interviews with academic experts
- Interviews with domain experts
- Your librarian, your library, on-line journals
- Internet, in particular: http://scholar.google.com (not google.com!)
- Your research topic will be vague in the beginning
- Be sure to talk to other persons than just your advisor
- Engage discussion with a written list of precise questions
- and make sure that all questions have been covered at the end of your meeting
- don’t ask by mail, ask for an appointment (unless the teacher tells you otherwise)
- Don’t just think, start producing at some point
- start with 2-3 articles/standard works and that contain a survey of your topic or a related area.
- ask experts, use the library, use scholar.google.com, use on-line journals
- if you can’t find anything:
- hunt for articles that cover subjects with similar structural properties (e.g. concerning the approach, the “way to look at things”, etc.)
- start to occupy "islands" (and enlarge with ”circles”)
- look for further publications
- follow-up leads from you 2-3 initial articles
- go through specialized indexes
- systematically browse through specialized journals
- Go through the Internet pages of well know researchers in your field
- do not trust randomly found things (e.g. indirect quotes) on the Internet
- hunt down the home pages (a lot of researchers publish at least a few papers on their site)
- the same information comes back,
- you found a good central framework, the analysis grids for your concepts, experimental designs that provide you with a good example, etc. (details depend on your approach),
- you can relate your research questions to published work.
Exploitation of literature and draft of the theory part
- Don’t write “summary memos”, it takes to much time (IMHO)
Here is an advice:
Step 1: Read texts "diagonally", and just mark the most relevant concepts, theories, models, hypothesis, etc.
Step 2: Make a matrix of the most important concepts like this:
- you may add some small comments
Step 3: Sort concepts
- mark the most important ones
- look at relations
- throw away the ones you won’t need (the theory part must support the empirical part, nothing else)
Step 4: Write a draft
- Be synthetic and be critical (!)
- Do not align one mini-summary after each other (i.e. order by concepts and not authors !)
- End up with a conclusion that argues in favor of a central framework, that identifies major dimensions (elements) and corresponding analysis grids
- Look again at your research questions (revise them or add/remove things from your draft)
There exist several techniques to generate ideas and you may apply several of these.
Brainstorming is done in several stages:
- Write rapidly keywords (what you want investigate, know, etc.) on paper
- Take this list and do it again for each point
- Sort/clean and go to the next steps (see below)
It is important that brainstorming is done quickly since you want to trigger associations in your brain (and not reflection), else it's not brainstorming ...
Organize your ideas
(1) As a first step you can divide a concept or study subject in its components.
- To do so, you may use mind mapping software.
- but don’t not overdo it, since mind mapping may generate too much complexity. All you may get is something "wow, look its complicated". Doing research means that you should answer precise questions and just "map out things".
(2) You then could use concept maps to draw relationships between important concepts.
Alternatively, consider using a wiki (make sure to think about categories tagging and making links). A wiki should not just a be random collection of entries, but an organized whole. Else you better use some blogging software. Daniel K. Schneider used this wiki to prepare an introductory text on educational technology ... and it turned out to be a good strategy. See [and outcomes] about edutechwiki.
- organize your ideas,
- produce a detailed plan of work to do (e.g. work packages),
- order your ideas in a linear way (your thesis will be linear, not a hypertext nor filled-in concept map).
Trust your brain's creativity
Good ideas sometimes pop out of nothing at odd times (this is documented in the auto-biographies of some really outstanding scientists). So make sure not to forget good inspirations.
List of checkpoints and things to do
- Talk to field experts, academic experts (in particular potential advisors)
- Also contact your "victims"
- Political feasibility
- Make sure that you will find human subjects willing to participate, that organizations will cooperate (e.g. give you access to documents), etc.
- In some institutions you will have to submit your research plan to an ethics committee.
- Theoretical feasibility
- Have you got a good enough overview of existing relevant research ?
- E.g. can you point gout theoretical frameworks, analysis grids, propositions (hypothesis)
- Methodological feasibility
- Did you make a list of the concepts found in your research questions ?
- Do you have initial definitions for them ?
- Do you believe that you can measure each empirical concept ?
- Do you have an idea how to analyze relationships (to answer your research questions) ?
If these suggestions are meaningless to you, go (back) to Methodology tutorial - empirical research principles
- Budgetary feasibility
- Time is your enemy
- Keep your subject as small as possible (but make sure that you address an academic question ..)
The general thrust of research
I.e. think about the kind of research you plan to do and in particular the general approach you'd like to use:
Read Methodology tutorial - introduction if you don't understand "kinds of research" and "approach".
Think hard about the concepts you use
Make sure that you list of research questions is complete, i.e. that they cover everything that you plan to do.
Then identify all major concepts used in your research questions and start thinking a bit on how you are going to collect related data.
- The theoretical face
- The empirical face
See the module on empirical research principles if you don’t understand this (and come back later)
You also may have a glance at:
- Methodology tutorial - theory-driven research designs
- Methodology tutorial - theory-finding research designs
- Methodology tutorial - design-oriented research designs
Now you can go and read Methodology tutorial - the research plan.