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(11 cards)
criteria for whether a subject is scientific
- objectivity
- testing theoretical predictions
- falsifiability
- paradigm
- replicability
features of science - objectivity
researchers remain unbiased in their work
‘psychology meets this sometimes’
all sources of bias are minimised
some methods more objective than others eg. brain scans
eg. thematic analysis, case studies are subjective!
features of science - testing theoretical predictions
‘psychology does meet this’
theory - general laws that allow us to explain certain behaviours
theory construction - gathering evidence by directly observing + testing theories and proving or disproving predictions objectively
features of science - testing theoretical predictions
why is it important to test a hypothesis
all research begins with a hypothesis
results mean you accept or reject the hypothesis
if your results support the hypothesis then you can use this evidence to support your theory construction
features of science - falsifiability
- whether your theory is capable of being tested by observations/experiment
-‘psych doesn’t meet this feature’
Popper 1969 says that the point of a science is that we seek to disprove a theory and only accept it if we can’t disprove it - so theories that are non-falsifiable are unscientific
features of science - paradigms
- Kuhn 1962 believed that the most essential thing in a science is paradigm
it is a shared set of assumptions + methods that support the subject
so in a non scientific discipline there will be many explanations for 1 event
3 distinct stages of development of a science:
- pre-science - no paradigm exists. not everyone agrees on the subject
- normal science- generally accepted paradigm that can explain + account for all findings
- revolutionary science- evidence against old paradigm so it’s replaced by a new paradigm. paradigm shift
features of science - replicability
- ability to be able to repeat study
eg. experiments use standardised procedures - researcher can establish reliability
also impacts validity + researcher’s ability to be able to generalise findings to real life
nominal data
data divided into categories
known as discrete data - Ps can only be put in 1 category
- gives researcher little detail
ordinal data
data that has been ordered eg. ranked
- subjective and doesn’t have equal intervals
- not precise
interval data
based on numerical scales in which the intervals are universal
each interval is precise eg, cm, weight