PSYA01H3 Chapter Notes -Statistical Inference, Naturalistic Observation, Statistical Significance

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6 Nov 2011
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PSY Exam Prep – Chap 2
5 Steps in the Scientific Method:
Question
Method
Collect
Analyze
Publish
Types of studies:
Naturalistic observation: observe behaviour of people in their natural environment
Correlation study: observe and see if 2 variables have a relationship. The magnitude can
range from correlation coefficient -1 to +1 (either negative correlation: one goes up one
goes down, or negative correlation: both go up).
Experiment: change one variable and see if it effects another variable
Nominal fallacy: the incorrect belief that one has explained a behaviour just by describing it.
Operational definitions:
In order for an experiment to be accurately duplicated and produce the same results each time,
accurate descriptions of the variables must be provided. These are called Operational
Definitions: defining a variable in terms of the operations a researcher used to
measure/manipulate it.
If the operational definitions are correct, then the experiment has Validity.
Researchers must remain alert to the problem of confounding participant characteristics with
their independent variable manipulations.
Ex: if a researcher wants to see how anger affects concentration, he would have to make
some participants angry. They might exert their right to leave the experiment at any time,
and now the control and experiment groups are not equivalent anymore.
Correlational study example: are shyness and daydreaming related?
Generalization occurs in 2 ways:
We generalize observations from our sample to a different group
We generalize from one context to another
Descriptive statistics: (what are the results?)
Measures of central tendency: mean, median, mode
Measures of variability: range and standard deviation
Inferential statistics: (are the results significant?)
Statistical significance: does a relation exist or is it due to chance?
Inferential statistics: mathematical procedures tell us if the relations are statistically
significant
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