Midterm 2 Flashcards
What do descriptive statistics do (2)? What are the limits (3)?
Helps us describe / classify data
Can be used as part of a larger argument
(cannot identify causes, be an argument by itself, or observe trends)
What is hypothesis testing?
Testing the effect of “x” on “y”
What does rejecting the hypothesis mean (language)?
Testing our hypothesis against the null: If there is no effect of “x” on “y,” then the relationship will be a straight line
What is Y = β0 + β1x + ε
β0 is the intercept (b)
Β1 is the “m”
ε is the error term
What are the different tests? When are they used?
Z-score
T-test: used for an “x” with two values, but also ratios/intervals
F-test: used for an “x” with discrete values (categories)
Chi-squared test: used when both “x” and “y” have discrete values (categories)
Pearson correlation: used for an “x” with multiple values – checks against t-test
What is the standard deviation divided by sample size?
Standard error
What is the standard error?
the average difference between the predicted value and the actual value of the relationship
What is the problem of causality?
If we compare treated vs. non-treated individuals, we are not going to get the causal effect right because individuals self-select into treatment
Maybe other variable is the reason for observing the outcome and not X.
What are causal inference problems (4)?
Reverse causation (endogeneity): think A causes B, but B causes A
Selection effects
Confounding variable: A and B are caused by C and there is no causal relationship between A and B
Spurious correlation without an underlying relationship
What are varieties of research design (2)?
Experimental approach: survey experiments, lab experiments
Observational studies: case studies, small-n comparisons, large-n observational studies
What are benefits/drawbacks of experimental approach?
Benefits: Other factors can be excluded; Random assignment prevents self-selection
Drawbacks: hard to convince everyone about external validity of results
What are benefits/drawbacks of observational studies?
Benefits: real world data on political phenomena/behaviours, not manipulated/invented
Drawbacks: causal inference problems are hard to overcome
What is a case study? Author?
John Gerring: the intensive study of a single case where the purpose is to shed light on a larger class of cases (a population).
What are the characteristics of case studies (6)?
Central to qualitative methods.
Can be both descriptive and explanatory.
explanatory: goal of the case study is to explain an outcome through an in-depth study of the mechanisms or processes that lead to that outcome.
Style of analysis tends to be narrative.
May or may not be representative of the population.
Case studies may be theory generating or theory testing
How do we choose case studies?
They are interesting and in need of explanation: why did the USSR collapse? How do we compare?
Caution from Geddes: don’t select on the dependent variable! Hard to know what is the population for the dependent variable.
What is field research (4)?
Traveling to the site where the political processes you’re researching are taking place to collect data.
Different methods (surverys, archival data,…)
Globalization has reduced need for fieldwork partially.
Local vs. overseas researchers; positionality; power structure of the academy. North Americans researching “overseas,” not relying on local researchers. Are foreign researchers conducting field research in US/Canada?
Local researchers are engaging in field research