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24 Cards in this Set

  • Front
  • Back
Qualitative Research
- interpretive or critical social science.
- non linear research path
- speak a language of "cases and contexts"
Quantitative Research
- positivist approach
- linear research path
- speak a language of "variables and hypothesis"
Qualitative - Finding a Research Topic
Begin with a vague research question and the topic emerges slowly during research.
Quantitative - Finding a Research Topic
Narrow it down before doing research.
Practical Limitations
Eg. Time, cost, access to resources, etc.
Grounded Theory
- theory is built from data
- builds theory by making comparisons.
Context
- note what came before or what surrounds the data.
- consider the cultural context.
- if ignored meaning and significance are distorted.
The Case and Process
- usually told as a narrative plot
- passage of time is very important
The Case and Process
- usually told as a narrative plot
- passage of time is very important
Interpretation
Assign meaning to something.
First Order Interpretation
Contains the inner motives, personal reasons, and point of view of the people who are being studied.
Second Order Interpretation
Acknowledges that however much a researcher tries to get very close to what he or she is studying they are still "on the outside looking in".
Third Order Interpretation
Translates his research into a form that facilitates communication with people who are more distance from the original source.
Variable
Central idea
Attributes
Values or categories of a variable.
Independent variable
The cause.
Dependant variable
The effect.
Intervening variable
Shows the link between the IV and DV.
Hypothesis
Proposition that can be tested.
5 Characteristics of a Causal Hypothesis
1. at least 2 variables.
2. expresses a cause-effect relationship.
3. expressed as a prediction.
4. logically linked to a research question and a theory.
5. it is falsifiable.
Null Hypothesis
Test hypothesis by looking for evidence that will allow them to accept or reject the null hypothesis. (no relationship exists)
Ecological Fallacy
Gathers data at a higher unit of analysis but wants to make a statement about a lower unit.
Reductionism
A researcher explains macro-level events but has evidence only about specific individuals.
Spuriousness
2 variables are associated but not causally related (3rd variable is involved)