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7/24/2019 Kellstedt QMteachers Presentation
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Workshop for teachers of quantitative methods forpolitical science students
Paul M. Kellstedt
Texas A&M University
September 10, 2012
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What well talk about today
1 Some preliminaries
2 The goals of a quantitative methods class
3 A proposed outline for a course in quantitative methodologyThinking skills for assessing causal relationshipsStatistical skills for assessing causal relationships
4 How to encourage our students to produce their own research
5 Final remarks
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Preliminary questions
Should we require quantitative methods classes for Political Sciencemajors?
But if departments require these classes, wont they hate theinstructor?
When should they be taught i.e., for entering students, for thosenear the end of their degree programs, etc.?
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A caveat
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What do we want students to be able to do aftersuccessfully completing a course in quantitativemethodology?
To be critical consumers of information in the media.
To be competent consumers of actual political science research.
To perform basic statistical analyses using software packages.
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We have to show students what researchers do
All scientistsincluding Political Scientistsare involved in two basicactivities:
1 We generate new causal theories.
2 We test these new causal theories against evidence from the realworld.
The key take-home point
We need to teach students both the thinking skills and then the associatedstatistical techniques involved in assessing causal relationships.
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Where do theories come from?
A recipe?
An emphasis on the new.
New theories can come from:1 A focus on dependent variables2 Moving from specific events to more generalizable phenomena3 Learning what the literature may have missed4 Formal theory
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Thinking about causal relationships
Once we have a causal theory, how do we know whether the independentvariable (X) causes the dependent variable (Y)?
Four causal hurdles1
Is there a credible causal mechanism that connects X to Y?2 Can we rule out the possibility that Y could cause X?
3 Is there covariation between X and Y?
4 Have we controlled for all confounding variables (Z) that might make
the association between X and Y spurious?
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Research designs for assessing causal relationships
Given that our theories are (normally) bivariate, but we live in amultivariate world, how can we control for other possible causes of the
dependent variable?Experiments
Observational studiescross-sectional and time-serial
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The importance of measurement
Key idea
Many critical concepts in political sciencelike democracy orprejudiceare not easy to measure empirically. So how we go about itmatters.
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The basics: Variance and covariance
Central tendency
Variance: The foundation for co-variance
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The logic of hypothesis testing
The relationship between observations from a sample and thepopulation about which we care
Can undergraduates handle Bayesian thinking?
The importance of teaching the Central Limit Theorem
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Bivariate hypothesis testing (as a warm-up)
Which bivariate test to use depends on the variable types of independentand dependent variables
Table: Variable types and appropriate bivariate hypothesis tests
Independent variable type
Categorical Continuous
Dependent Categorical Tabular analysis Probit/logit
variable type Continuous Difference of means Correlation coefficient;bivariate regression
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Bivariate regression
The emphasis
Teaching bivariate regression enables us to familiarize our students withthe way that rise over run logic from algebra is relevant for socialrelationships.
How much about OLS can/should we teach undergraduates?
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Multiple regression as the key to assessing causalrelationships in a multivariate world
How does multiple regression pertain to the Four Causal Hurdles,
especially the last?What happens in regression models when we fail to control for otherpossible causes of the dependent variable?
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If a student wants to produce his or her own research whatdo they need to be able to do?
To identify a new research question, likely through one of threetechniques:
1 A new Y (and some X)2 An existing Yand a new X3 An existing X Y relationship in a new context
To capably evaluate both individual studies and the literature as awhole, with an emphasis on what we dont yet know
To understand the strengths and weaknesses of various researchdesigns
To competently analyze data and draw appropriate conclusions
To clearly present tables and figures, and to connect text to thosetables and figures
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Is this realistic?
Yes
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