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