Chapter 2: Studying Behaviour Scientifically Flashcards
Steps of the Scientific Process
1: Initial observations / questions
#2: Formation of a hypothesis
#3: Testing the hypothesis
#4: Analyzing Data
#5: Further research and theory building
#6: New hypotheses derived from new theory
Approaches to Understand Behaviour
1: Hindsight Understanding: arriving at explanations after the fact
-a major limitation is the inability to determine alternatives
#2: Prediction, Control and Theory Building
-good theories allow for good predictions
-incorporates and tests existing facts to form predictions
-Law off Parsimony: if 2 theories can explain and predict the same outcome, thee simpler theory is preferred
Methods of Measurement and Research
Operational definition: defines a variable in terms of the procedures used to measure it
Techniques to measuring processes
-Self-Report Measure: asking people directly, honesty and bias are flaws
-Reports by Others
-Physiological Measures: biologically obtaining reports, but can’t do emotion
-Behavioural Observations: observing behaviour in real life or in lab settings
Techniques to conducting research
-Descriptive research
-Correlational research
-Experimental research
Descriptive research
-case studies, natural observations, surveys
Correlational research
-searches for connections between natural variables
-bi-directional causality problem: not knowing If x caused y or y caused x
-third variable problem: hard to tell
-correlation dos not demonstrate causation
Correlational research
-searches for connections between natural variables
-bi-directional causality problem: not knowing If x caused y or y caused x
-third variable problem: hard to tell
-correlation dos not demonstrate causation
Experimental research
-testing explanations and seeking conclusions
-random assignment: generalization
-exposure to all conditions: eliminates possible problems, more accurate
Threats to validity of research
-internal validity: the degree that research supports pre-existing clear conclusions
-confounding of variables: bi-directional causality problems
-demand characteristics: when the hypothesis is known, behaviour changes
-placebo effects: expectations of an effect may one the only cause of the effect
-experimenter expectancy effects: participants are nudged to follow hypothesis
-replicating/generalizing findings: experiment may not be repeated identically