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Summary GV249 Exam Notes

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These are the detailed notes that cover all of the examinable content for GV249, at which is usually tested. Back then, I had to study the course from scratch within less than 1 week, and easily achieved a first-class mark by using this set of notes. It is designed to be concise yet comprehensive, allowing you to focus on revising the key concepts and three-statements and ace your exams easily.

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GV249 Notes




Table of Contents

,Table of Contents
INTRODUCTION.............................................................................................. 4
RESEARCH BASICS.......................................................................................................... 4
EXAM FORMAT................................................................................................................... 4
THEORY......................................................................................................... 6
THEORY DEVELOPMENT.................................................................................................. 6
THEORETICAL APPROACHES........................................................................................... 6
ABSTRACTION................................................................................................................. 6
OPERATIONALISATION..................................................................................................... 7
HYPOTHESES.................................................................................................................. 7
DATA............................................................................................................. 8
DESCRIPTION..................................................................................................................... 8
STATISTICS......................................................................................................................... 8
CORRELATION..............................................................................................10
CAUSATION..................................................................................................11
MEASUREMENT............................................................................................13
VALIDITY....................................................................................................................... 13
RELIABILITY AND BIAS..................................................................................................13
REPRESENTATIVENESS.................................................................................................. 15
LINEAR REGRESSION....................................................................................16
INFERENCE AND HYPOTHESIS TESTING.........................................................17
INFERENCE...................................................................................................................... 17
STANDARD ERROR........................................................................................................ 17
HYPOTHESIS TESTING........................................................................................................ 18
RESEARCH INTEGRITY..................................................................................20
BIASED RESEARCH PRACTICES.....................................................................................20
OPEN SCIENCE SOLUTIONS................................................................................................. 20
COMPARATIVE CASE STUDIES.......................................................................23
MILL’S METHODS.............................................................................................................. 23
CHALLENGES OF COMPARATIVE ANALYSIS...............................................................................24
SYNTHETIC CONTROL METHOD............................................................................................24
COFOUNDERS.............................................................................................. 27
RANDOMISED EXPERIMENTS.........................................................................29
R.E.N. ASSUMPTIONS........................................................................................................ 30
FIELD EXPERIMENTS....................................................................................31
NON-COMPLIANCE AND COMPLICATIONS...............................................................................31
QUANTITATIVE FIELD RESEARCH...................................................................33
INTERVIEW....................................................................................................................... 33
RESEARCH ETHICS.......................................................................................35



Table of Contents

, ETHICS OF HUMAN SUBJECT STUDIES....................................................................................35
APSA ETHICS PRINCIPLES (2020).......................................................................................35
REGRESSION DISCONTINUITY DESIGN...........................................................39
QUASI-EXPERIMENTS......................................................................................................... 39
RDD BASICS................................................................................................................... 39
RDD ROBUSTNESS CHECK.................................................................................................40
DIFFERENCE-IN-DIFFERENCE DESIGN.....................................................................................42
DID ASSUMPTIONS............................................................................................................ 42
MATHEMATICAL OPERATIONS...............................................................................................42
MECHANISMS..............................................................................................44
IMPLICIT MEDIATION STRATEGIES.......................................................................................... 44




Table of Contents

, Introduction
Welcome :) Good Luck!


RESEARCH BASICS
Descriptive Questions: asking about the systematic patterns or novel
phenomena.

Casual Questions: asking about the casual effects between two
variables.

Variable: an entity that takes on different values.

 Categorical
 Ordinal
 Continuous

Outcome Variable (Y): the dependent variable (DV).

Explanatory Variable (X): the independent variable (IV).


EXAM FORMAT
ONE Essay Question (50%)

o Choose 1 out of 6 Questions
o References: Author (Year) / (Author Year) - no bibliography required

Structure:

1. Short Introduction, including definitions.
2. Main Part
3. Conclusion

FOUR Short Questions (20%, 5% each)

o Answer ALL 4 Questions.
o Remember KEY Definitions, Concepts, Assumptions, Estimators,
Designs.

FIVE Questions on Interpretations of Quantitative Regression
Outputs (30%)

o Answer ALL 5 Questions.
o A Regression Table (linear model) will be presented.



Table of Contents

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