Research Methods - Donald M. Gooch Website
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Transcript Research Methods - Donald M. Gooch Website
Research Methods
INTRODUCTION
Scientifically Investigating Phenomenon
Normative vs. Empirical Evaluations
Normative = questions of value: “what ought to be”
Empirical = questions of fact: “what is”
Is there a grey area? How do we determine if it is an ‘ought’ or
an ‘is’ question?
Principles of Scientific Inquiry
Be open-minded
Be skeptical
Be objective
Be creative
Be informed
Political Science
The “Science” of “Politics”
Political Science Methodology
Process & methods in using empirical research to achieve
scientific knowledge about political phenomena
Why should we learn about the study of politics?
Role as a citizen
Learning to be a scientific researcher
Why conduct research?
To accumulate and extend knowledge and understanding of a
phenomena that may be applicable to problems/solutions
relevant to society.
To satisfy intellectual curiosity
Six Stages of the Research Process
1.
2.
3.
4.
5.
6.
Formulation of Theory
Operationalization of Theory
Selection of Appropriate Research Techniques
Observation of Behavior (Data Collection)
Analysis of Data
Interpretation of Results
Sub-fields in Political Science
American Politics
Comparative Politics
International Relations
Public Policy (Public Administration)
Political Theory
Political Methodology
What is Political Science?
“Politics is not an exact science.” (Bismarck 1863)
Politics: art or science?
The study of politics: art or science?
How do we know what we know?
Scientific research / Behavioralism
Research question
…and the search for an empirical answer
Types of Research Questions
There are three basic types of questions that research
projects can address:
1. Descriptive.When a study is designed primarily
to describe what is going on or what exists. Public
opinion polls that seek only to describe the
proportion of people who hold various opinions are
primarily descriptive in nature. For instance, if we
want to know what percent of the population would
vote for a Democratic or a Republican in the next
presidential election, we are simply interested in
describing something.
Types of Research Questions (con’t)
2. Relational.When a study is designed to look at
the relationships between two or more variables. A
public opinion poll that compares what proportion
of males and females say they would vote for a
Democratic or a Republican candidate in the next
presidential election is essentially studying the
relationship between gender and voting preference.
Types of Research Questions (con’t)
3. Causal.When a study is designed to determine
whether one or more variables (e.g., a program or
treatment variable) causes or affects one or more
outcome variables. If we did a public opinion poll
to try to determine whether a recent political
advertising campaign changed voter preferences,
we would essentially be studying whether the
campaign (cause) changed the proportion of voters
who would vote Democratic or Republican (effect).
What is Theory?
“Theories are sets of logically related symbols that
represent what we think happens in the world.” (Manheim,
et al. 2006: 15)
A theory is “a possible explanation for events, often a set of
logically related assumptions and propositions” (Manheim,
et al. 2006: 415)
“…theories are no more or less than a priori reasoning
about the relations among variables.” (Bueno de Mesquita
1981: 9)
2 Types of Theoretical Reasoning
Inductive
specific to general
search for uniformity
Deductive
general to specific
logically derived theoretical consequences
Inductive reasoning works
the opposite of deduction
moving from specific
observations to broader
generalizations and
theories.
Informally, we sometimes
call this a "bottom up"
approach (please note that
it's "bottom up" and not
"bottoms up" which is the
kind of thing the
bartender says to
customers when he's
trying to close for the
night!).
In inductive reasoning, we
begin with specific
observations and
measures, begin to detect
patterns and regularities,
formulate some tentative
hypotheses that we can
explore, and finally end up
developing some general
conclusions or theories.
Inductive Reasoning
Deductive reasoning
works from the more
general to the more
specific. Sometimes this is
informally called a "topdown" approach.
We might begin with
thinking up a theory about
our topic of interest.
We then narrow that down
into more specific
hypotheses that we can
test.
We narrow down even
further when we collect
observations to address
the hypotheses.
This ultimately leads us to
be able to test the
hypotheses with specific
data -- a confirmation (or
not) of our original
theories.
Deductive Reasoning
Both Types Necessary?
“Because a theory’s usefulness can only be judged
empirically, while an empirical generalization’s
truthfulness can only be judged logically, neither
inductive nor deductive reasoning by itself is
adequate.” (Bueno de Mesquita 1981: 9-10)
Characteristics of Useful Theories
Testable / Falsifiable
Logically sound / Consistent
Communicable
General
Parsimonious
Accurate
Components of a Theory
Concepts
Assumptions
Variables
Dependent
Independent
Hypotheses
Relationship between (among) variables
Direction
Types of Variables
Dependent Variables
A dependent variable is a variable dependent on another
variable: the independent variable. In simple terms, the
independent variable is said to cause an apparent change in, or
simply affect, the dependent variable
Independent Variables
An independent variable is a hypothesized cause or influence
on a dependent variable.
This might be a variable that you control, like a treatment, or a
variable not under your control, like an exposure. It also might
represent a demographic factor like age or gender.
IVs & DVs: An Example
Example 1
The wages of an employee depend on the time worked.
Time is the independent variable that varies among
employees, and the wages are calculated directly from
the total time worked. Thus wages are dependent on time
worked.
In a call centre, the number of customers serviced per
hour, depends on the number of agents, and average
service time per customer. In this case number of
customers is a dependent variable, entirely dependent on
the other two independent variables namely agents, and
average service time.
Hypotheses
A hypothesis is a specific statement of prediction. It
describes in concrete (rather than theoretical) terms
what you expect will happen in your study.
A deductive research design should include a set of
exhaustive hypotheses: i.e. your predictions should
cover all possible conceivable outcomes related to
your two variables.
Null Hypothesis
Research Hypothesis
Relationships Between Variables
Covariational relationship
When X goes up, Y goes up
Causal relationship
X Y
Spurious relationship
a relationship that appears to exist at face value, but that
disappears when you control for another variable.
Other causal relationships
Indirect causation: X Z Y
Multiple causation: X Y; S Y; D Y
Intervening variable(s): X Z Y
Spurious Relationships
Once a group of students decided to study empirically the causes of
drunkenness.
They drank vodka and water. Got drunk.
They drank rum and water. Got drunk.
They drank scotch and water. Got drunk.
They drank bourbon and water. Got drunk.
They drank gin and water. Got drunk.
They looked at the patterns of their data and saw that water appeared in
every instance in which they got drunk, while no other factor appeared to
remain in every case. They concluded that water made them drunk. Further
research indicated that each of the substances combined with the water
contained alcohol.
The conclusion that water makes you drunk is spurious. By looking for
other variables and other patterns we find that alcohol is the culprit
variable.
Variables
A characteristic that takes on different values from
one case to another (or, for a given case, from one
time to another)
Dependent variable
Independent variable
Intervening variable
Antecedent variable
Control variable (later)
Investigating Causality
Is there covariation?
Does hypothesized cause precede effect? (causal
order)
Is there a theoretical relationship between cause and
effect? (causal linkage)
Can other explanations (simultaneous relationships)
be eliminated? (alternative causality)
Logical Relationships
Necessary conditions
(if x then y)
Sufficient conditions
(if y then x)
Necessary and sufficient conditions
(iff x then y)
Some Examples
Free elections, Democracy
Democracy, US interests
Democratic states (2+), Peace
Higher levels of education, Higher levels of political
participation
Flat (regressive) tax, Fairness