experimental designs

    Cards (17)

    • explain the method of independent groups: 

      • seperate groups of participants for each level of the iv
      • there are usually two levels of the iv the control group and the experimental group
      • control group has no influence of the iv and is used as a comparison to the experimental group
    • strengths and weaknesses of independent groups
      strengths: order effects are not an issue because the participant only tries one condition reducing practice effects
      weaknesses: individual differences, each group has a different set of participants which posses diff skills and backgrounds so can affevt valid of results
    • explain repeated measures
      • all participants undergo all of the conditions of the experiment
      • results then of each of them are compared to see wether there is a difference in performance
      • all game part in all conditions
    • what are the strengths and weaknesses of repeated measures
      strengths: participant variables r removed as each participant undergoes each condition so is compared against themselves. ——fewer participants are needed so each produce two set of results
      weaknesses: order effects, participants get to practice tasks so if performance increases it may be becayse they practiced
    • explain matched pairs
      • participants only take part in one condition
      • they are split into two groups but are similar
      • they are tested on participant variables and matched up for comparison
      • the pairs undertake one of two conditions
    • strengths and weaknesses of matched pairs
      strengths: no order effects as they only undertake one condition
      participants are matched up so participant variables are moderately reduced when compared
      weaknesses: takes time and not always exact, not everyone is the same so method is a lot of effort for minimal gain
    • what’s a quantitative method 

      use data that can be counted, usually given as numbers
    • what’s a qualitative method 

      data expressed in words, and given meaning usually in a non numerical format
    • what’s ecological validity
      a type of external validity that refers to the extent to which the findings can be generalised to real life setting
    • explain labatory experiments 

      aim to measure the effect which one or more independent variable has on a dependant variable
    • strengths and weaknesses of a laboratory experiment
      strengths: extraneous variables can be controlled so allows confident conclusions
      standardised procedures allowinf for replication
      weaknesses: lacks ecological validity so not reflective of everyday activities
      increase in demand characteristics so participants are aware they are being studied and can change behaviour
    • explain field experiments
      • studies using experimental design that occurred in a natural setting
      • researchers examine how the manipulation of at least one iv changes in a dv in context of a natural environment
    • strengths and weaknesses of field experiments
      strengths: more realistic as they are conducted in a natural environment
      follow a standardised procedure to account extraneous variables
      weaknesses: lack of control over variables
      ethics, if they are unaware they are being studied there is no consent
    • explain natural experiments
      • studies using experimental design that occur in a natural setting
      • does not change the iv it changes naturally
    • strengths and weaknesses of natural experiments
      strengths: high validity they include real life changes in natural settings
      weaknesses: rare occurance so effects the iv being measured
      • unique characteristics researchers cannot allocate conditions which may lead to influence extraneous variables
    • explain quasi experiments
      a study that is almost an experiment but lacks manipulatoon of variables. the iv has not been determined by anyone
    • strengths and weaknesses of a quasi experiment
      strengths: carried out under controlled conditions
      weaknesses: cannot randomly allocate participants to conditions meaning confounding variables are present
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