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Lecture Notes Desgning Research - The Logic of Scientific Discovery

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Lecture notes of Designing Research taught at Cognition, Language and Communication at the UvA.

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Designing Research Lectures

Lecture 1
History of science (physics):
- Aristotle
- Scientific revolution (1500-1750) → Darwin, Rene Descartes
Systematically doubting everything
- Relativity theory and Quantum mechanics
No new theories that are in sync with our senses, only more difficult theories.
- Epistemology in Philosophy
Question about how we gain knowledge, how do we know?
- Brain injuries around WWI and WWII
- Behaviorism → Skinner, Pavlov
- Chomsky, Turning and the Cognitive Revolution

What is science?
Claims backed up by empirical data.
Opposites are very important → investigate that instead of proving something is true
What is no science? → Pseudoscience
Anything subjective: Astrology, metaphysics, psychoanalysis, dialectic materialism

Syllogism:
All A’s are B’s. → Premises All gasses expand when heated
X is an A. Helium is a gas
------------------------------------------------
Therefore, X is a B → Conclusion Therefore, Helium expands when heated

Inductive reasoning: aims to develop a theory.
→ Singular observations lead to universal statements, the conclusion is supported by
premises, but not necessarily true.
Deductive reasoning: aims to test an existing theory.
→ Conclusion is necessarily true if premises are true, which makes them powerful.

Problem of induction:
If A has been reliable in the past, it will be in the future
In the past, A has been reliable
--------------------------------
Therefore, A will be reliable in the future

→ Last statement follows the first
!But the first statement requires justification!
Without induction, there are no experiments

Scientific process according to Popper:
From a(n): Idea, theory, hypothesis, theoretical system → Empirical predictions that are
deductively inferred. These predictions can be empirically tested



1

,Predictions (born out of theory) can:
Support the theory (Temporary verification)
Contradict the theory (Falsification)
!All it takes to falsify a theory is a single empirical observation!

Problem of demarcation:
- For the inductivist, a way to demote metaphysics
- For Wittgenstein, a matter of meaning,
- For Popper, a proposal/convention
- Falsifiability as a criterion for demarcation
- Falsifiable is not the same as Falsified


Seminar 1
Hypothesis:
General hypothesis:
if A, then B
use conceptual definitions

Specific hypothesis:
Use operational definitions
make sure it is falsifiable and testable
!Beware of post-hoc hypotheses!

HW 11/11/2023
Popper terms Ch 1.
Inductive methods: methodes die voort komen uit een singular statement
Universal statements: hypotheses of theorieen.
Problem of induction: De vraag of inductieve gevolgtrekkingen gerechtvaardigd zijn, zo
niet, onder welke voorwaarden
Principle of induction: een verklaring met behulp waarvan we inductieve gevolgtrekkingen
kunnen omzetten in een logisch aanvaardbare vorm
A priori: iets wat iemand van te voren al kan weten, zonder daar specifieke kennis over te
hebben.
Apriorism: vooropgezette mening
psychology of knowledge: gaat over empirische data/feiten
logic of knowledge: gaat over logische relaties
questions of fact (quid facti?): Emperisch resultaat/feit????
justification or validity (Kant’s quid juris?): deductie???
‘rational reconstruction’: het vinden van een ‘nieuwe’ waarheid
falsified: Aangetoond dat het niet klopt, verworpen
‘corroborated’: Bevestigd
‘epistemological’: de leer van het weten of de kennis en richt zich op de vraag naar
waarheid of zekerheid.
concepts: Begrippen of ideeen.
statements: verklaringen
naturalistic: het interpreteren van problemen alsof ze uit de natuurlijke wetenschap komen



2

, ‘conclusively decidable: De vorm moet zo zijn dat de vraag geverifieerd of verworpen kan
worden op een logische manier
conclusive verification: Als er geen mogelijkheid is om te bepalen of een statement waar
is, heeft het statement geen betekenis
verifiability: verifieerbaarheid
falsifiabilit: verwerpelijkheid
ad hoc: voor deze huidige/specifieke situatie
perceptual experiences: iets waarnemen en daardoor geloven dat het ook echt zo is.
basic statements: een statement dat kan dienen als een premise in een empirische
verwerping: een statement van een singular fact
objectivity: zonder interpretatie of mening
psychological hypothesis: hypothese op basis van psychologische en andere theorieën,
doen; en deze mogen tijdens experimentele tests bevestigd of weerlegd worden
ad infinitum: oneindig


Lecture 2
Big picture of research design: you have to learn more than a collection of methods or
research practices.

Invisible research objects: Understanding behavior and mental processes really means
understanding what makes behavior, thought and emotion vary.

Possible exam questions:
What does the author mean that the mean is a fulcrum? (fulcrum = ??????????)
→ ´a thing that plays a central/ essential role in an activity, event, or situation´

What do positive and negative values of deviation scores tell us?
→ Positive above the mean, negative below the mean.

What happens when you sum all the deviation scores of a sample data?


How do we solve the sum-to-zero of deviation scores?
→ Divide by (sample size - 1)

How do we fix the dependence between sample size and the magnitude of the total sum of
squares?


!All RQ are about variability in their operationalized form. Therefore, all research design has
to be geared to interpreting such variability at the theoretical level!

Effect size:
The higher proportion of systematic variance → The higher effect size
↪ How strong the relation between variables is
- Absolute: a larger value always indicates a stronger effect. Same units as the original
measurement (milli sec, microvolts, frequencies)


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