independent variable
the variable that is manipulated by the experimenter
dependent variable
the variable that is measured by the researcher, which changes as a result of manipulating the IV
extraneous variable
variables other than the IV that may have an effect on the DV- participant, situational, experimenter
confounding variables
any variable other than the IV that has not been controlled which already had an effect on the DV
demand characteristics
any cue from the researcher/ research situation which may lead to participants changing their behaviour as a result
investigator effects
any effects of the investigator's behaviour on the research outcome
randomisation
the use of chance in order to control the effects of bias when designing material and deciding the order of conditions- random generation
standardisation
using the same procedure and instructions for all participants- same environment, instructions and experience
laboratory experiments
controlled environment setting and control the IV
(+) laboratory experiment
high control of extraneous variable so any effect on DV is likely a result of manipulation of the IV- cause and effect can be established, high internal validity, possible replication as it is standardised
(-) laboratory experiment
lacks generalisability due to artificial environment, low external validity, increase in demand characteristics as participants are aware they are being tested, low mundane realism as tasks may not represent real life experience, investigator effects may occur
field experiments
control the IV within a natural setting
(+) field experiment
higher mundane realism than lab exp as environment more natural, high ecological validity, more authentic and valid results, high external validity as ptp are unaware they are being study so no demand characteristics
(-) field experiment
less control of extraneous variables, difficult to repeat, cause and effect difficult to establish, ethical issues as ptp unaware of being studies, cannot consent, invasion of privacy
quasi experiment
can take place in both controlled or natural setting, pre-existing IV (can't control) e.g autism
(+) quasi experiment
often carried out in controlled conditions- high control of extraneous variable so any effect on DV is likely a result of manipulation of the IV, high internal validity, possible replication as it is standardised
(-) quasi experiments
cannot randomly allocate participants (ptp either have condition or not) so may be confounding variables, possible demand characteristics
natural experiment
takes place in both controlled and natural settings, the IV is naturally occuring and can't be manipulated e.g age
(+) natural experiment
provides opportunity for research that may not otherwise be conducter, high external validity as they involve the study of real life issues
(-) natural experiment
naturally occuring event may only happen rarely- reducing opportunity for research, limiting generalisation to other situations, ptp may not be randomly allocated to conditions
experimental design
how ptp in an experiment will be used
independent groups design
two seperate groups experience two differnet conditions of the experiment
(+) indepenedent groups design
order effects are avoided, less chance of demand characteristics
(-) independent group design
individual differences/ participant variables between groups- differences due to individuals eg IQ rather than the IV (use random allication), larger amount of ptp requires as one ptp contributes one result so less economical
repeated measures design
each ptp takes part in both conditions of the experiment
(+) repeated measures design
individual differences/ptp variables avoided, requires fewer ptp
(-) repeated measures design
order effects occur- ptp get worse/better due to practice or boredom (use counterbalance ABBA - one half of A first then B second, then one half of B first then A second) demand characteristic are more likely as ptp are exposed to both conditions so may pick up cues
matched pairs design
two seperate groups are carefully matched on key criterias/variables
(+) matched pairs design
less likely to have demand characteristics, avoids order effects, contols participant variables
(-) matched pairs design
ptp can never be matched exactly, very time-consuming to match ptp
random allication
each ptp has the same chance of being in one condition or the other- distributes ptp characteristics across the conditions of the experiments by using randome techniques
counterbalancing
half the ptp experience the conditions in one order, the other half od ptp experience the condtions in the opposite order- ABBA
aims
a general statement about the investigation
hypothesis
precise testable statement predicting the outcomes of the study
experimental hypothesis
any hypothesis related to an experiment
alternative/research hypothesis
a hypothesis related to everything else that isn't an experiment which states an outcome of research
null hypothesis
no relationship between the two variables being studied
directional/ one-tailed
the research heads in a specific way- girls have better exam results than boys
non directional/ two-tailed
don't know the results of investigations- there is a difference in exam results between girls and boys
target population
group of people who are the focus of the researcher's intrest, from which a small sample is drawn
opportunity sample
researcher selects a sample of anyones who is available and willing to participate in their study
(+) opportunity sample
convenient, efficient, saves time and effort, easy, costs less, more ethical as researcher can judge if ptp is likely to be upset or too busy
(-) opportunity sample
may be unrepresentative of the target population as people who are unavailable and unwilling are ruled out, researcher bias as researcher may choose certain people
random sample
every member of the target pop has an equal chance of being selected- complete list of all members of target pop is obtained and put into a computer and a random generator selects sample
(+) random sample
no bias as everyone has an equal chance of being selected, sample is likely to represent target pop
(-) random sample
time consuming and very difficult especially with large target pop, if you don't have a list of names, ptp may not be available or refuse resulting in bias
stratfied sample
reflects the propotions of the target pop by classifying the pop into catergories (strata), ptp are obtained in proportionate to the occurance in the target pop via random selection
(+) stratified sample
avoids bias, designed to accurately reflect the pop, so generalisation is possible, good representation of each group
(-) stratified sample
time consuming dividing sample into strata and the randomly selecting them, detailed knowledge about the pop characteristic required
systematic sample
used predetermined system to select ptp- every nth memeber of target pop selected
(+) systematic sample
avoids bias as the once the researcher picks number, have no control over selection, usually fairly representative, simple proceedure
(-) systematic sample
chance of a sample that would not be representative (unlikely), not objective as researcher may decide on how people are listed or what number was chosen
volunteer sample
ptp select themselves to be a part of the sample (self-selection)- researcher may advertise study
(+) voluteer sample
easy, little effort, less time consuming
(-) volunteer sample
volunteer bias- may attract certain profile of people , increase of demand characteristics as volunteers are eager to please, may affect generalisability
confidentiality
the right to privacy- ptp data should not be disclosed to anyone unless agreed in advance, allocae numbers to ptp instead of using their names, state in breif+debreif that their data will be protected throughout the research process
deception
deliberatly misleading or withholding information from ptp- however there are occasions when deception can be justified if it does not cause the ptp any undue distress- full debreif at the end + reminded of the right to withdraw
informed consent
ptps should be aware of what they are doing- be aware of aims and methods so they can make informed judgement on whether they want to take part- may cause demand characteristics, signed letter of agreement that contains all relevant details that may affect their descion (under 16s must have consent come from a guardian)
presumptive concent
rather than getting consent from the ptps themselves, a similar group of people are asked if the study is acceptable and if agreed then the consent of the original ptps is presumed
prior general consent
ptp give their permission to take place in a number of different studies including one that involves deception so they are consenting to be decieved at some point
retrospective consent
ptps are asked for their consent after taking part in the study, during the debrief- they may not have been aware that they were apart of the study or that they were the subject of deception
right to withdraw
ptp should be aware they can leave the study at any time or can withdraw their data- can be explained in the brief or debrief
protection from harm
ptps should not be placed in any physical or psychological risk- any harm caused can be adressed in the debrief, councelling should be offered
brief
ptps are told some or all of the conditions of the experiment and what they will be doing in order to gain informed consent
debrief
after the experiment the ptps should be told why the experiment was conducted:
full aim of the study and the conditions- remind the ptps which conditions they took part in
reassurance that their behaviour was typical/normal -right to withdraw their results
explain that data will be confidential (numbers not names) -ask if they require councelling -thank them for taking part -ask if theu have any questions
observations
type of non-experiment method
naturalistic observation
behaviour studied in a natural situation where everything is left as it is normally-e.g observing children playing on a playground
controlled observation
some variables are controlled and manipulated by the observer- reduces naturalness but also reduces extraneous variables-e.g seeing whether children would imitate adult model when playing with toys
unstructures observation
observer records everything that happens- video is useful + usually done of small scale
structured observation
operationalising behaviour into behaviour catagoried and deciding how we will measure the observation
behaviour catagories
developing a specific behavioural checklist e.g studying affection- kissing, hand-holding, hugging, catagories can't overlap but must be obvious to make data collection more objective
measuring observations
time sampling- observations are made at regular time intervals and coded- reduces the number of observations but may not be representative event sampling- tally chart of specific behaviours- used when behaviour is infrequent and can be missed- if complex the observer may miss imporatant details
participant observation
observer acts are a part of the grouo being watched
non-particiapant observation
observer does not become part of the group being watched
covert
ptps are unaware they are being observed- secret and undercover
overt
ptps know their behaviour is being observed and have given their informed consent
avoiding bias
-all observers involved have a clear idea of what they are observing -use a system for categorising+ recording info -use more than one obserever
inter-observer reliability
the extent to which there is agreement between the observers involved in observation of behaviour -two researchers will observe behaviour at the same time but independently -the findings are compared -correlation amalysis is preformed on the data and using spearman's test a correalation co-efficient of 0.08 should be achieved
reliability
consistency and replicability
(+) observation
the most sensible way to study social +groups behaviours, produces a more holistic way of a person's behaviour
(-) observations
well organised observations are difficult and time-consuming, if only one observer then observer bias, not really possible to observe large groups, if people know they are being observed then observer effects/demand characteristics, not possible to establish cause and effect, ethical issues as consent is difficult to gain when observing
questionnaire
a pre-set list of written questions that assess thoughts/ feeling
(+) questionnaire
useful for gathering info on a large group of people
(-) questionnaire
to produce accurate results, it must be worder very carefully, so construction of a reliable questionnaire is difficult as the way the question is worded can produce different results
open questions
don't have a fixed range of answers + ptps are free to respond however they want- qualitative data
(+) open questions
rich in depth and detail, more flexibility in the way the ptps can answer a question
(-) open questions
difficult to analyse in order to draw conclusions that are relevant to the whole group
closed questions
fixed range of responses- quantitative data
(+) closed questions
easy to analyse as responses can be reduced to numbers, the data lends itself to statistical analysis and comparisons between groups can be made using graphs and charts
(-) closed questions
lack depth and detail, does not allow ptps to expand of their answers
interviews
face to face converstation/ phone conversation
structured interview
formal interview with pre-determined questions asked in a fixed order
semi-structured interview
list of questions prepared in advance but interviewer can ask follow up questions
unstructured interview
informal chat with no fixed questions- general aim that certain topics will be discussed, free-flowinf, interviewee is encouraged to expand on their answers
(+) interviews
responses may be more truthful than a questionnaire
(-) interviews
time consuming, data must be transformed into quantative format to be analysed, risk of interviewee being untruthful for social desirability
(+) structured interview
easy to replicate- standardised, reliable, targeted questions enables some questions to produce quantative data
(-) structured interview
can't deviate or elaborate on the topics and answers- lacks depth and validity
(+) unstructured interview
more flexibility so interviewer can ask follow up points to gain more insight and understanding increasinf validity, more of a sensitive approach to topics
(-) unstructured interview
analysing data is difficult, researcher may have to sift through irrelevant info