Research Methods

Cards (85)

  • directional hypothesis is a hypothesis that is clear what difference is anticipated between 2 conditions - uses words like more less higher lower
  • a non directional hypothesis simply states that there is a difference between conditions
  • an aim is a general statement of what the researcher intends to investigate
  • a hypothesis is a clear statement that states the relationship between 2 conditions
  • experimental method involved the manipulation of an independant variable to measure the effect on the dependant variable
  • professional bodies draw up guidelines for all professions - british psychological society publishes guidelines for human and non human research
  • informed consent means the old should know what they are getting into beforehand - they should know the aims
  • right to withdrawal - a pps should be able to leave a investigation at any time
  • deception - no misleading or withholding information the pps should know
  • protection from harm means that there shouldn’t be any more risk than daily life
  • privacy means pps can control the info shared about themselves
  • confidentiality means the pps should be able to have their personal data protected
  • to deal with informed consent - consent letter
  • to deal with deception - debrief
  • to deal with protection from harm - counselling
  • to deal with confidentiality - anomity
  • demand characteristics are any due from the researcher or from the situation that may be interpreted by pps as revealing the purpose of the study - may lead to a change of behaviour
  • investigator effects are any effects of the investigators
  • examples of demand characteristics:
    • interaction
    • study procedure
    • rumours
    • title
    • tools
    • instruments
    • setting
  • single blind design - the pps arent aware of the research aims and conditions they are receiving
  • double blind design is where both the investigator and pps are blind to the aim
  • experimental realism - making the task engaging makes pps focus less on why they are there
  • participant variables - differing individual characteristics ( of pps ) in an experiment eg age mood intelligence - can be considered as extraneous variables ( variables that affect the results but that the experimenter isn’t studying )
  • random allocation is done so that individual characteristics are randomly distributed ( in theory )
  • counterbalancing is when both halves of pps of experience the conditions in different orders
  • to be standardised means that there is a plan of exactly what will be done in the study which means that non-standardised changes don’t act as extraneous variables
  • to ensure all pps have the same experiment:
    • same place
    • same equipment
    • same levels of lighting
    • same noise
    • same heat
  • experimental design is the different ways in which the testing of pps can be organised in relation to the experimental conditions
  • examples of experimental design :
    • independant groups design
    • repeated measures design
    • matched parts design
  • independant groups design is when 2 sepearate groups of ops take part in 2 different conditions of the experiment
  • repeated measures design is when the same group take part in the investigation in 2 different conditions
  • matched pairs design is when pairs of ops are matched on some variables that may affect the dependant variable
  • order effects occur in repeated measure design and refer to how positioning of tasks affect the outcomr
  • counterbalancing is a technique used to manage order effects
  • demand characteristics suggest there is a high risk that people will change their behaviour
  • strengths of repeated measure design:
    • counterbalancing is used
    • pps variables kept constant
    • pps take part in all conditions
    • fewer pps needed
    • order effects improve performance
  • weaknesses of repeated measures design:
    • order effects like fatigue affect performance
    • demand characteristics could be prominent as pps take part in all conditions
  • strengths of independent groups design :
    • sample is divided
    • demand characteristics less likely to be a problem as pps take part in 1 condition
    • order effects don’t occur
    • randomisation is used to manage pps variables
  • weaknesses of independant groups design:
    • pps variables affect results
    • more pps needed
  • strengths of matched pairs design:
    • sample is divided
    • demand characteristics are less likely to be a problem as pps take part in 1 condition
    • order effects do not occur