Title: How do we know what we know? What is science compared to other modes of knowing?
1How do we know what we know? What is science
compared to other modes of knowing?
2Review of Types of knowledge
- Faith belief without firm evidence, on faith,
metaphysical - Investment we know because that is what we have
invested in by our past actions and beliefs - Logic logic may tell us answers math can
support, but based on simple assumptions that
themselves may not be true. - Authority figures/agents of authority tell us
so! - Science through repeated observation of senses
(testing!). Some call this positivism
3- What do we mean by political science?
- It is a field of academic inquiry that applies
theories, systematic methods, and tests to
describe, explain, and predict political events
and behavior. - This is true of the natural sciences and
typically other areas that use data analysis
methods, although the substantive topic is
obviously not politics.
4What do we mean by systematic?
- Taking steps to be as objective and thorough as
possible in research and typically by following
principles of science. - Key problems arise when one is non-systematic
- Inaccurate observations sloppy or incomplete
- Overgeneralization Frank and Kansas?
- Selective observation typically related to ones
political biases and ideology. For example,
conservatives may not recognize when they agree
with liberals but hear instead what they most
disagree with.
5Positivism (basis for science)
- An objective reality exists that can be analyzed,
modeled replicated - Ideas and theories are confronted with facts
- Regularities and patterns are present
- Social reality can be analyzed systematically
- Social reality can be quantified and measured
systematically - Example poverty exists and can be measured
6What is Science?
- In some rough form, common to humans as a means
of reasoning. - A systematic way to formulate and test research
questions. Generalization! - A means of producing useful and reliable
empirical information (based on evidence).
Transmissible - communicable endeavor research must be
replicable, verifiable
7Science
- By necessity we make inferences about the world
around us populations or systems may be too
complex to analyze in their entirety. Thus, we
attempt to generalize about phenomena not
directly observed or tested. - Conclusions are uncertain. WHAT? Can we ever
know for perfect certainty that we are correct
about our explanations and predictions?
8- Again, TESTING is very important to science. In
order to make inferences about the world, we must
compare our ideas and theories to reality. - We bring evidence to bear when testing hypotheses
through the analysis of cases in either - Case Studies
- Focus Groups, Interviews, etc.
- Statistical Analysis Surveys or aggregate data
on society, economics, legislatures, or history.
9If our theories are found to properly explain our
phenomena of investigation, then they can be used
for prediction. Prediction is a prominent goal
but very difficult in the non-natural sciences,
why? Prediction is hard because unlike atoms or
molecules, people have free will. People can
sometimes be unpredictable even if they often
follow habits and patterns.
10- There are at least four types of research
questions and projects - Description -- Who, what, where and when?
- (starting place for most research)
- Explanation -- Why?
- (sciences, both natural and social)
- If we have good explanations, then prediction may
be possible.
11types of research questions and projects
- Normative -- Should it be?
(Philosophy/Ethics/ etc.) - 4. Prescription -- What should we do?
(Policy and sometimes philosophy, ideally based
on empirically verified theories or other
research)
12- As political scientists or others using
scientific method, we are usually interested in
explanation, but description must come first and
then ideally prediction and well informed
prescription. - How do we do this? We explain phenomena by
applying systematic methodologies based on logic
and theories. - Here is where the science comes in!!
13What do we mean by systematic and why do you
think it would be good?
- To be systematic means to attempt to be as
objective as possible by looking at a varied
amount of data and types of situations. - To be systematic means to try to reduce
subjectivity, opinion, bias, and prejudice, which
may lurk in conventional wisdom, customs,
legends, and myths.
14An example of a widely believed assertion of
conventional wisdom War is good for a national
economy
- What do you think?
- How do we know this?
- What types of wars should we examine, if any?
- What types of variables are important, or simply
it is just that simple?
15Through logical reasoning, it would make sense
that wars lead to the demand for goods (weapons
etc.) that results in a increased production,
jobs, and even wages. However, what about other
variables? What if wars are fought on ones own
territory? What if the economy is not fully
mobilized for war? Considering that many wars
are highly destructive for at least one side, if
not both, war must not pay for at least half the
combatants. Factories and infrastructure, or
social costs, may make war too costly.
16- To really answer such a question we require a
more systematic empirical analysis. - My own research suggests that this simple
assertion is untrue, despite being repeatedly
echoed by politicians, the media, and others. - In American history, 3 wars appear to have
stimulated economic growth Civil War (North),
WWI, and WWII.
17- Considering that WWII was a monumental conflict
that had a huge impact on many peoples lives, it
tends to become an object of generalization when
it is in fact somewhat anomalous. - The majority of wars in American history were an
economic drain or too short to have much effect
Korea, Vietnam, Gulf War I, War of 1812,
Spanish-American War, War with Mexico.
18- Actually, my research suggests that for most
countries economic growth increases the
probability of war, which is then often followed
by economic stagnation (inflation, destruction of
infrastructure, social disorder, etc.)
19Beginning Empirical Research Reasoning
- It is important to start with various puzzles or
research questions based on whether idea for a
project is stimulated by theory or observation - Inductive Observation of phenomena lead to
theory, and then testing. - Deductive Theory leads to propositions that are
then tested.
20Social research strategies
Ideas What we think THEORY
DEDUCTIVE REASONING
INDUCTIVE REASONING
DATA Reality What we observe