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Qualitative Analysis
In-depth study of a few cases such as historical accounts or interviews.
Quantitative Analysis
Statistical methods used to study large datasets.
Selection Bias
The distortion of data results from non-random sampling.
Causal Theory
A framework explaining causal relationships among variables.
Empirical Analysis
The process of collecting and analyzing data to validate hypotheses.
Forecasting
Predicting outcomes like election results or economic trends.
Public Opinion Surveys
Tools used to measure public ideology and democracy.
Confounding Variables
Factors that influence both the dependent and independent variables.
Reverse Causality
The difficulty in determining the direction of causal relationships.
Omitted Variable Bias
Excluding confounders that leads to misleading conclusions.
Spurious Relationships
False associations that disappear when controlling for confounders.
Causal Inference Challenges
Issues that arise when trying to determine causal relationships.
Overestimation in Causal Analysis
When the effect seems stronger than it actually is due to confounders.
Underestimation in Causal Analysis
When the effect seems weaker than it actually is due to unaccounted confounders.
Sign Reversal
The effect appears in the opposite direction due to confounding factors.
Random Assignment
A method to balance confounders across experimental groups.
Controlled Environment
An experimental setting that isolates independent variable effects.
Political Science Experimentation
Challenges in replicating real-world complexity in experiments.
Internal Validity
Confidence in the causal relationships established within an experiment.
External Validity
The extent to which experimental results are generalizable to real-world scenarios.
Representative Sampling
Randomly selected participants allowing generalization to the population.
Non-Representative Sampling
Convenience sampling that does not allow for generalization.
Survey Experiments
Experimental approach to survey questions treating them as stimuli.
Ethical Considerations in Research
Ensuring participants are informed and not harmed during studies.
Observational Studies
Research using real-world data when random assignment is not feasible.
Conditioning in Research
Comparing outcomes under different values of an independent variable.
Linear Regression Analysis
A statistical method for modeling the relationship between variables.
Simple Regression
Analysis examining the relationship between one dependent and one independent variable.
Multiple Regression
Analysis that accounts for multiple independent variables and confounders.
Coefficients in Regression
Values indicating the impact of independent variables on the dependent variable.
Natural Experiments
Studies exploiting naturally occurring variations that resemble random assignment.
Validity of Observational Research
Internal validity may be weaker than experiments but has stronger external validity.
Causal Relationships
Connections between variables where one influences another.
Advanced Modeling
Statistical techniques used to account for confounders in analysis.
Voter Preferences
Decisions or inclinations of voters based on various influencing factors.
Economic Voting
The phenomenon where voters’ preferences are influenced by the state of the economy.
Testing Hypotheses
The process of making predictions and verifying them with empirical data.
Democratization Studies
Research into the processes through which countries transition to democratic governance.
Predictive Models
Statistical models used to forecast future events or outcomes based on historical data.
Survey Design
The structure and methodology used to create effective surveys.
Political Ads Experiment
Testing the impact of different types of political advertising on voter behavior.