research methods used Flashcards
(29 cards)
correlational designs
identifies a relationship between variables
correlation strengths
- a good starting point for further research
- can be used if experiments aren’t practical
correlation weaknesses
- no cause and effect can be established
- extraneous variables may be the cause
experimental design
careful manipulation of a independent variable to measure the effect on the dependent variable
experimental strengths
- can determine cause and effect
- no extraneous variable, highly controlled
experimental weaknesses
- low ecological validity
- low population validity
cross sectional design
children of different ages are observed at a single point in time
cross sectional strengths
- less time consuming
- provides a quick estimate of changes with age
cross sectional weaknesses
- only describes age differences
- doesn’t identify cause and effect
longitudinal designs
more than one observation of the same group f children is made at different points in their development
longitudinal strengths
- allows for within person changes
- allows for between person changes
longitudinal weaknesses
- high drop out rate
- population bias, not generalisable
sequential designs
participants of different ages are followed up over time
a combination of cross sectional and longitudinal designs
sequential strengths
- measures individual differences
- measures changes over time
sequential weaknesses
- can’t establish cause and effect
observational studies
behaviour is observed and recorded
researcher doesn’t attempt to influence indivduals natural behaviour
observational strengths
- high ecological validity
- inexpensive
observational weaknesses
- subjective
- Hawthorne effect
case studies
in-depth data collection of an individual
case study strengths
- rich source of data
- good for studying unique behaviours
case study weaknesses
- subjective so low reliability
- low generalisability
cross cultural comparisons
studying and comparing individuals from different ethnic groups to understand similarities and differences across cultures
cross cultural comparison strengths
- reduces ethnocentrism
- can study universal behaviours
cross cultural comparison weaknesses
- language barrier
- researcher bias