PSYC1020 Lecture Notes - Lecture 2: Germ Theory Of Disease, Blind Experiment, Simple Random Sample

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9 May 2018
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Lecture 2 - Scientific Research, Statistics and Introduction to Nervous System
Review
looked at why you might study Psychology
To show how interesting and diverse psych is
The various branches of basic research, Applied, and Clinical Psychology
looked at a preliminary account of the nature of Psychology
examined the history of Psychology and its legacy in six influential frameworks in
Psychology
Each frameworks has weaknesses
The nature of scientific research
Scientific research-based on an integration of rationalism and empiricism
Rationalism-view that knowledge is produced by reasoning using logical argumentation
and debate
weakness-our best arguments and theories can turn out to be false
Empiricism-view that knowledge is produced by using the senses to observe and
experience the world
weakness-we have often conflicting experimental results and we can never
collect all the data
Each one has a weakness; neither one is perfect
Integrating the two together makes a stronger and self-correcting process
Experiments correct our theories, theories guides our experiments
Experiments used to test our most rational hypotheses
We use argumentation and debate to interpret the experimental results and determine
where and how we should look for new empirical evidence
Science
back and forth between theoretical debate ← → experimental competition
always trying to self-correct and self-improve
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In science we make predictions-hypotheses about variables
variable-object, concept or event being measure; can take on dif values
hypothesis-a testable prediction about processes that can be observed and measured
Can subject it to empirical observation!
Falsifiability-hypothesis can be put into an experiment so that it is possible for our
prediction to be wrong= testable
safeguard against projective bias we tend to “see” things in a way that
conforms to and confirms what we already believe or expect to be the case
We all have a bias
We need to set up experiments, so its possible so your prediction
could be false and you will be able to acknowledge it
If we our hypothesis is such that it cannot be shown wrong no matter what the results,
then we have rigged things to protect our bias
Ex. Freud and anal personality; ppl w/ anal personality will be miserly
If ppl are not miserly, freud might argue that non miserly, anal ppl have used a
defence mechanism to turn this trait into something else
There is no way for freud to be wrong; he is gathering data, but data
doesn’t have the power to change what freud believes
If your setting up your experiment that is non-falsifiable, then
you're saying data doesn't matter
Falsifiability-guarantees that the data matters
A hypothesis
a rationally derived to be consistent with an existing theory or prior observations
from descriptive methods
should be as simple as possible
more variables in an hypothesis = greater the number of possibilities in which they may
be interacting
Thus, more variables=increased complexity of experiment
Complex experiments-hard to run and hard to interpret
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hypothesis should be
specific by making clear exactly what we will be measuring
what we will be manipulating
what we are predicting will be the effects of the manipulation
This is usually accomplished by making use of operational definitions
Operational definition: statements that describe the procedures (or operations)
and specific measures that are used to record observations
Hypothesis needs to be very specific: if not, it rly challenges how
falsifiable your hypothesis and it becomes easy to manipulate your view
to confirm your hypothesis
Ex. about operational definition-compare two hypotheses:
People who play violent video games will exhibit more aggressive behavior than
people who do not play violent video games
Aggressive behavior=too ambiguous
What is aggressive behavior?
People who play violent video games hit, kick, bite or push others more
frequently than people who do not play violent video games
Practice of science reveals how self-deceptive we are
What is the point of collecting evidence for hypothesises?
Ultimately we want to use this evidence to explain how the world operates
=theory
Theory: an explanation for a broad range of observations that also
generates new hypothesis and integrates new finding into a coherent
whole
Goal of science: to come up w/ theories
Explanations-arguments that logically link causal predictions together
Theories are higher order arguments that link explanations together, and link these
explanations to evidence
Wrong definition of theory: a guess or a hunch or some unsubstantiated speculation
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Document Summary

Lecture 2 - scientific research, statistics and introduction to nervous system. Review looked at why you might study psychology. To show how interesting and diverse psych is. The various branches of basic research, applied, and clinical psychology. Examined the history of psychology and its legacy in six influential frameworks in looked at a preliminary account of the nature of psychology. Scientific research-based on an integration of rationalism and empiricism. Rationalism-view that knowledge is produced by reasoning using logical argumentation and debate. Weakness-our best arguments and theories can turn out to be false. Empiricism-view that knowledge is produced by using the senses to observe and experience the world. Weakness-we have often conflicting experimental results and we can never collect all the data. Each one has a weakness; neither one is perfect. Integrating the two together makes a stronger and self-correcting process. Experiments correct our theories, theories guides our experiments. Experiments used to test our most rational hypotheses.

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