Empiricism is the philosophical position that factual knowledge only comes from our experience with the world.
Empiricalmethods is a process of collecting data from direct experience. This includes observation but also experimentation, self-report, case studies and content analysis.
Objectivity suggests data should be collected and interpreted in ways that avoid bias by the researcher's opinions or expectations, as such research may produce subjective conclusions.
Improving objectivity:
Systematic data collection - Gathering data is carefully planned out and consistent for each participant. This could be via questionnaires.
Double-blind - Researchers who don't know the research aims collect the data.
Peerreview.
Replicability is when scientists carefully record their methods and produce standardised procedures so that other scientists can repeat their experiment and observations.
Falsifiability is the ability to collect supporting evidence for a theory that is not enough to be genuinely scientific. For a theory to be scientific, it needs to be constructed in a way where it can be empirically tested.
Karl Popper - The black swan.
Example theory - All swans are white. Previous observations of swans were all seen on white swans.
Single observation of a black swan in Australiafalsified the theory.
Paradigm shift are a change in the way a field of study is viewed, or a change in the way a field of study is conducted.
Paradigm shifts:
Early psychologists used introspection to develop theories of the mind; Freud used casestudies, Wundt used controlled scientific observation. This was a paradigm shift away from earlier religious and philosophical concepts (eg - sin).
Stages of scientific theory construction - Bottom-up method:
Observation,
Construct a testable hypothesis,
Conduct an experiment and gain experimental data,
Propose a theory explaining the results.
Stages of a scientific theory - Top-down method:
Researchers start with an established theory and develops a hypothesis that test one of the theory's assumptions.
This can either support the existing theory, add to the theory or discredit the current view.
Hypothesis testing - The more a theory can withstand its assumptions with hypothesis testing, the greater the confidence there should be in the validity of that scientific theory.