2. Research design and questions Flashcards

1
Q

What is research?

A

A collection of information
-Evidence based conclusions about real world problems
-Starts with a research question
Research design - plan on how to answer RQ, plan for sampling

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2
Q

How to find a research question?

A
  • Own interest
  • Observation
  • Theoretically motivated- do your literature review!
  • Gap in our existing knowledge
  • Contradicting existing theories
  • Empirical evidence contradicting theory
  • Boundaries for existing theory
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3
Q

What is a research question?

A

Exact interrogative statement, aim of the overall study, giving it direction,
relevance and coherence (boundaries).
Success of the project- did you actually answer your research question?

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4
Q

What is a good RQ?

A
  • Gives you a reason to conduct the research
  • Specific enough- mentions units of analysis, points to the data needed and
    analysis, limit research area/theories
  • Gives you a starting point to think and write the entire paper as an
    argument, with grand finale- answering your RQ
  • Gives you the terminology that limits your audience and literature
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5
Q

Good and bad RD?

A

Quality criteria- generalizability, validity, replicability …
* The match between RQ and design determines priorities
* If causal RQ- causality important for RD
* If RQ about population- generalizability important

Bad research design- not thinking through all the choices in the research
process, lacking in allignment
* Patching- I did a mistake in my survey (missing a variable) so now I am
trying to do quick interviews in order to cover it up
* Starting from the wrong end-

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6
Q

What is practices?

A

Ways to collect and analyze data

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7
Q

Name two methods of collecting data

A

Quantitative and qualitative

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8
Q

Name 6 research designs

A

Survey
Interview
Experiment
Observation - naturalistic and participant
Archival - data and textual archives
Combination

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9
Q

What is a survey design

A

Sample survey- information is gathered from a representative group of people (census- whole population)

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10
Q

When to use survey

A

Subjective attitudes, values, opinions, intentions
* Social desirability bias- big problem when asking about sensitive topics (although anonymity helps)
* Can understand and remember!
* Objective information that is too complex to access
* Best- combination with objective secondary data

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11
Q

Interview design

A
  • Research interview- detailed information is gathered from a selected individual (representativeness
    is important here too, but less so in comparison to the survey)
  • Aimed more at understanding a phenomenon rather than generalizing
  • Frequently combined with different designs
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12
Q

When to use interview?

A
  • Subjective attitudes, values, opinions, feelings- just like survey, but the complexity matters here
  • Would take way too many questions in a survey to get the complexity you are looking for?
  • Do you have expectations for the answers?
  • Internal or external phenomena?
  • Surveys often ask multiple respondents about the same external phenomena (to find ”objective” truth)
  • Interviews better at capturing internal phenomena
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13
Q

What choices should be made when making an interview?

A
  • Degree of structure
  • Types of questions asked- exploratory, descriptive, explanatory, confirmatory…
  • Group interviews
  • Different interview modes
  • Formal/informal site
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14
Q

Experiment design

A

Randomized control trials- random selection and assignment of participants/cases into
experimental grous, controlled treatment, so the differences in outcomes can be only
due to treatment

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15
Q

When to use experiment design?

A

Is the research question focusing on causality?
* Is the RQ about cause and effect- asking whether a relationship exists? Or is it asking about a
process- how a relationship unfolds?
* Causality will come at a price- trade-off
* To achieve generalization to entire population through experimentation is difficult and
expensive!
* To avoid self-selection is difficult
* To simulate the real-life condition in an experiment is difficult
* To make people behave naturally is difficult

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16
Q

Which choices can be made for an experiment design?

A
  • Blinding- subjects don’t know in which group they are (single, double, tripe)
  • Between and within-subjects desings
  • Crossed or nested design
  • Laboratory experiment vs. Field experiment, Quasi- and Natural experiment
  • Pretesting, registration of hypothesis, treatment fidelity, manipulation checks…
  • Is it a control variable or manipulation/treatment?
  • Is it a continous variable or categorical and can you change it?
17
Q

What is mixed design?

A

Carefully planned utilization of multiple designs in order to answer complex (multipart) research questions

18
Q

How to combine designs?

A

How to combine the desings?
* One pre-dominant other supporting
* Not necessarily mix of qual and quantmethods but often happens
* Possibility to triangulate- data, methods, research
* Sequence- one design informs another
* Interaction/iterations- repetitive processes

19
Q

Observation design

A
  • Observing processes (events, phenomena) as they unfold without interfering
  • Takes long time
20
Q

When to use observation design?

A
  • Usually opened and exploratory- good for developing new theory and finding/refining constructs
  • Thick, contextualized, detailed description
  • Possibility to uncover very complex, causal, interacting relationships
21
Q

Archival design

A
  • Analysing existing (secondary) data- can be both text and numbers
22
Q

When to use archival design?

A

When you are interested in ”objective” information, cannot get information from respondents
* Good for large scale research, where surveys and interviews would be too difficult/expensive
* Proxy measures exit for sensitive topics
* Interested in historical processes (development over time)