Week 1 - Introduction Flashcards
(6 cards)
Non-scientific methods
Belief perseverance (tenacity), intuition, authority (faith), rational method (logic), empiricism (observation)
Key features of science
Testable hypotheses, willingness to abandon unsupported ideas
Brutal objectivity
Science is true whether or not we believe it
Empiricism
Steps in research process
Establish RQ - select general topic and review literature
Theory to hypothesis - hypothetico-deductive model, hypotheses must be logical, testable, falsifiable, positive
Define/operationalise variables - what will we measure and how?
Identify participants - try and avoid bias or inappropriate sample
Select research strategy - depends on RQ and hypotheses
Measure > analyse > evaluate theory
Correlational vs experimental method
Correlational method (describing events) - relationships between variables
Experimental method (explaining events) - inferring causality, manipulating variables
Two sources of measurement error
Random error (stochastic factors) - may be fluctuations in instrument or environment, reduces change of sig. result
Systematic error (consistently different from true) - form of bias, non-zero mean, may cause sig. result that isn’t there or eliminate a real difference
Precision vs accuracy
Precision - repeated measurements showing the same results (low precision reflects random error)
Accuracy - degree of conformity of measured value to true value (low accuracy reflects systematic error)