Research Methods- y12 Flashcards
experimental method- key concepts
operationalised hypothesis (statement of what researcher believes to be true)
1.directional- states whether changes are greater/lesser pos/neg
1.non directional-doesn’t say direction, just says there is a correlation
-researcher causes IV to vary and measures effect on DV
experimental method- research issues
-EV’s= nuisance variables that make it hard to detect effect
-CV’s=change with IV so we cannot be sure if change in DV is due to CV or IV
-demand characteristics= any cue from researcher that may reveal aim and change behaviour
-investigator effects= any effect they have on DV
-randomisation= use of chance when designing investigation to control bias
-standardisation= same procedure for all pps
experimental method- pilot studies
-small scale trial run to road test procedures
-control groups/conditions set to make comparisons
-single blind means pps dont know aim double blind means investigator also doesn’t
-these things reduce demand characteristics
experimental method- independent groups
-one group does A and another does B
-randomly allocated groups
pros=no order effects, will not guess aim
cons=participant variables, less economical
experimental method- repeated measures
-same pps do all conditions
-order should be counterbalanced to reduce order effects
pros= participant variables, fewer participants
cons= order effects, pps may guess aims
experimental method- matched pairs
-2 groups of pps used who are paired on pps variables related to experiment
pros=participant variables, no order effects
cons= matching is not perfect, more pps
types of experiment- lab
-controlled environment where EV’s and CV’s can be regulated
-Iv manipulated, effect on DV recorded
pros= EV’s and DV’s controlled, easily replicated
cons=may lack generalisability, demand characteristics
types of experiment- field
-natural setting
-Iv manipulated, effect on DV recorded
pros=natural environment, pps unaware of study
cons=difficult to control CV’s and EV’s, ethical issues
types of experiment- natural
-Iv changes but not because of experimenter
-DV may be naturally occuring or devised, measured in field or lab
pros= practical and ethical, external validity
cons=event may only occur rarely, pps not randomly allocated
types of experiment- Quasi
-IV based on pre existing difference such as age or gender
-DV may be naturally occurring or devised
pros=high control, comparisons can be made between people
cons= pps not randomly allocated, casual relationships not demonstrated(cannot say change in DV was due to IV)
Sampling
-population= large group we are interested in
-sample= smaller part of pop
-generalisation= sample should be representative so we can generalise
-bias= certain groups are over or under represented
random sample
-everyone has equal chance of being selected
-lottery method/ randomiser
pros=potentially unbiased
cons= rime consuming and may not work if pps refuse
systematic sample
-pps selected using set pattern e.g. alphabetical order
-every nth person selected
pros=unbiased
cons=time and effort, might as well use random
stratified sample
-sample reflects proportions of people in certain sub groups
-sub groups identified and relative percentages chosen which represent population
pros= representative
cons=stratification not perfect as not all types of people can be represented
opportunity sample
-people who are easiest to obtain
-ask people nearby
pros=quick method
cons=biased and cannot be generalised
volunteer sample
-self selecting
-advertisements
pros= participants are willing and likely to engage
cons= volunteer bias, likely to share certain traits
ethical issues- conflict
-conflict between rights of pps and aims of research
-bps code of conduct, document to protect pps
-ethics committee weigh up costs and benefits before allowing a study
ethical issues- informed consent
-get permission
-signed consent for or;
1.presumtive-ask similar group
2.prior general-agree to be decieved
3.retrospective-get consent after
