1.18 Year 2 Research Methods - Validity Flashcards
Validity
Extent to which results are accurate and what you expect to find in real life
Internal Validity
Research method is valid if it measures what it was supposed to measure inside the study. Extent to which the finding are due to the effect of the IV on the DV and not due to an EV
Types of internal validity
- Extraneous variables
- Confounding variables
- Leading questions
- Demand Characteristics
- Social Desirability
- Researcher or investigator effect/bias
- Order effects
- Participant variables
External (Ecological) Validity
Results are valid if they are reflective of what you would expect to happen in real life. Artificial environments such as Lab settings mean low ecological validity, natural environments the opposite. Milgram had low ecological validity, Hofling had very high ecological validity
External (Temporal Validity)
Generalisation of findings to other populations and other time periods. E.g. Asch had low temporal validity as his repeated experiments found inconsistency whilst Milgram had high temporal validity
Face Validity
Basic assessment determining whether a measure appears ‘on the face of it’ to represent what it is supposed to for example does a test for anxiety look like a test for anxiety. Can be done by ‘eyeballing’ or passing to an expert.
Concurrent Validity
Extent to which a new measure relates to an old measure for example a new personality test is created so it is tested and compared to the findings of an older personality test. If results are 80% or more similar than results are concurrent.
Improving Validity in Questionnaires
- Make anonymous to lower chance of social desirability
- Use a ‘lie scale’
Improving Validity in Qualitative methods
- Triangulations, use different sources of data e.g. diaries and interviews, observations to ensure researchers interpretation matches the participants
Improving Validity in observations
- Covert observations ensure that behaviour of the participants remains natural – improving ecological validity
- Behavioural categories to clearly operationalise variables
- Double blind procedures to limit researcher bias
Improving Validity in Experimental research
- Use of control groups
- Standardised procedures
- Control EVs
- Double blind procedures to get rid of participant and researcher effects
- Counterbalancing