Reliability and validity

    Cards (11)

    • Reliability:
      CONSISTENCY of results
    • Inter-observer reliability:
      1. Researchers must have the SAME training and use the same behaviour categories
      2. Two psychologists conduct the observation/content analysis/ study independently
      3. They check for agreement and if they find similar results it is reliable
      4. This could be done by using a correlation, a strong positive correlation of +0.8 shows the observers gave similar results - so has reliability
    • Inter-observer reliability simplified:
      1. Same training
      2. Independently study
      3. Agreement
      4. Strong positive correlation of +0.8
    • Improving inter-observer reliability:
      Training: Give the observers better training so they can identify the behaviour
      Operationalisation: Make sure both observers are clear on what theyre looking for - could be checked using pilot study
      View of behaviour: Video the behaviour and let the observers view the same behaviour
    • Test-retest reliability:
      1. A test would be given to a participant on two different occasions and the scores are compared
      2. If they find similar results it is reliable
      3. This could be done by using a strong positive correlation of +0.8 or above
    • Validity: extent to which a test measures what it intends to measure
    • Internal validity:
      • findings are due to the IV and nothing else
      • We can establish a true cause and effect relationship
      Improving:
      • Extraneous variables must be minimised - controlled environment EVs are easier to control
    • External validity: Ecological validity
      • Results can be generalised to the real world
      Improving:
      • conduct in more natural environments
      • Use tasks that represent everyday life
      • Use materials that represent everyday life
    • External validity: population validity
      • results can be generalised to the rest of the target population
      Improving:
      • Conduct studies on large sample sizes
      • Use random/stratified sampling
      • Conduct research cross-culturally and across different ages and genders
    • External validity: Temporal validity
      • results can be generalised to the modern day
      Improving:
      • do the test again in the modern day to see if results are still accurate
    • Assessing validity: Concurrent validity:
      • Involves assessing how closely the scores on a test match a different measurement
      • High concurrent validity is when there is a close agreement between the data produced by the new test compared to the established test - indicated if both tests exceeds +0.8
    See similar decks