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Situational variable
variables present in the environment that might effect the results of the experiment. e.g temperature,noise,light levels
Participant variable
when a participants mood,ability,nationality,etc. might effect the results
order effects
when the particpants worsen or improve in the second condition because they became tired or have parcticed.
standardised procedure
all parts of the procedure are kept the same. So every participant experiences the same condition
investigator effects
when the researcher unintentionally gives away the aims of the investigation
demand characteristics
when the participants alter their behavior because they discovered the aims of the study.
counterbalncing
half of the participants experience condition A then B whilst the other half experience condition B then A. So that order effects cancel out.
Random allocation or randomisation
participants are randomly assigned to a condition
single blind technique
the true aims of the investigation are kept hidden from the participants
double blind technique
when the aims of the investigation is kept from both the investigators and the participants.
Natural experiment
Reasercher does not manipulate independent variable(it is naturally occuring).ADVANTAGES-can study unethical or impractical studies if studied in a different way,researcher able to study real problems and situations,demand characteristics reduced.DISADVANTAGES-reasercher has no control over enviroment,ethical guidelines of consent may not be met,often impossible to repicate
Random sampling
picked out of a hat. ADVANTAGES-not a biased sample,cost and time effective, equal chance.DISADVANTAGES-target population may not be represented,participnats may not want to take part.
opportunity sampling
using participants that are ready to use.ADVANTAGES- ethical,time and cost efffective.DISADVANTAGES-biased sample not all of target population is represented,not an equal opprotunity.
stratified sampling
identifies sub groups of population.ADVANTAGES-all of target population represented,most reliable results. DISADVANTAGES- time consuming,people can refuse, invalid conclusions
self selected (volunteer) sampling
asking participants to take part.ADVANTAGES-most ethical,minimal effort,possible to recruit target populationDISADVANTAGES-target population may not be represnented
Repeated measures
Participant experience all conditions.fewer people needed. order effect affect results. Participnat characteristics(extraneous variable) kept constant
Independant measures
Each group experiences only one condition. Participant characteristics may affect results. More participants are needed
Matched pairs
two groups of participants are matched on key characteristics. Time consuming.Not possible to match all characteristics.More participants are needed.
experimental designs definition
three different ways of deciding which participants are in which condition.
Independent measures
repeated measures
Matched psirs
reliability
when something can be repeated multiple times and you get the same result.( consistency of an outcome)
internal validity(validity)
how confident are we that the test measures what it intends to.
ecological validity
how generalisable the findings are to the real world.(situations or setting typical of everyday life.)
population validity
how generalisable the findings are to a larger group of people(target population)
Protection from harm
Participants should be no worse off when they leave an experiment as to when they arrived.
informed consent
letting participants know what they are going to have to do in the study so their consent is 100% valid
deception
Participants should know all the information about the experiment. Only if something might affect the results some things can be kept a secret
right to withdraw
participants are able to withdraw at any moment even after the experiment finished
debrief
if consent cannot be obtained participants must be fully debriefed afterwards. The participants have the right to withdraw their information
Qualitative data
mainly in words
Quantitive data
numerical
primary data
direct for a specific research
secondary data
already been collected
Bar chart
data in categories
histogram
groups numbers into ranges
scatter graphs
used for correlation data to show relation ship.
independent variable
the variable the researcher manipulates
x-axis
dependent variable
the variable the researcher measures
y-axis
confounding variable
when a extraneous variable isn’t controlled and impacts dependent variable
Null vs Alternative hypothesis
Null: a hypothesis that predicts no significant difference or correlation in the results of a study.
Alternative hypothesis : a testable statement that predicts a significant difference or correlation.
non directional- there will be a difference but doesn’t suggest direction e.g a gender difference
directional- states the direction of the difference or correlation. e.g males higher than female
lab experiment description
conducted in a controlled environment where the researcher manipulates the IV and observers its effect on the DV.
Lab experiment AO1 points
allow researchers to have strict control of extraneous variables
Low ecological validity due to artificial setting
sampling can be unrepresentative if the sample is biased or has small numbers
can be easily replicated to test for reliability due to having standardised procedures
Lab experiment AO3 points
controlled task → low task validity as it may not be an everyday activity for participants
Artificiality → increase demand characteristics as participants know they are being studied → may not reflect natural human behaviour
high control over extraneous variables → internal validity
Test-retest replication of study due to standardised procedure increases reliability of findings
Field experiment description
conducted in a natural setting where the IV is manipulated and the DV is measured
Field experiment AO1 points
can take place in a realistic environment that participants would be familiar with
Researchers manipulate the IV and conditions that the participants experience
there is a DV that is measured by the researcher to test the impact of the IV
researchers are not always able to control extraneous variables (e.g situational)
Field experiment AO3 points
not artificial environment → higher ecological validity
manipulate IV → test specific variables to establish cause and effect conclusions
task may lack mundane realism if artificial → reduces validity of findings
extraneous variables can reduce the validity of the results as there may be other influences other than the IV
Natural experiment description
observing naturally occurring events and studying their effects on behaviour without the manipulation of the IV
Natural experiment AO1 points
have naturally occuring IV (not manipulated by researcher)
there is a DV that is measured by the researcher to test impact of IV
take place in reallife natural environment of the participants
researchers are unable to control any extraneous variables that could affect data
Natural experiment AO3 points
Naturally occurring IV’s enable researchers to test variables that would otherwise be unethical to create artificially
can use standardised + objective measures
high ecological validity in findings as context and conditions are not artificial
extraneous variables can affect findings reducing validity
Interview description
A data collection method where the researcher asks participants questions(structured or unstructured).
Interview AO1 points
structured Interviews - researcher asks pre set questions in fixed order
semi structured interviews - researcher uses pre set questions but has flexibility to explore responses further.
unstructured interviews - researcher asks open-ended questions + follows participant’s responses(more natural flow of conversation.)
gather qualitative data which can provide rich detailed information about the persons thoughts feelings and experiences
used to explore personal experiences, opinions, and attitudes. Particularly useful when studying sensitive topics/ exploring complex behaviours
interviews AO3 points
qualitative data → deep insight into participants unique views + experiences
clarification is possible → more accurate results
Time consuming to conduct + analyze
Interviewer can influence/lead participants response → lowers validity
Demand characteristics - participants may alter response in order to seem as good person/know what reasercher wants to hear
Questionnaire description
Participants answer a set of questions, written or electronically, to collect data (qualitative/quantitative).
Questionnaire AO1 points
can gather quantitative + qualitative data through closed and open ended questions
can be retested to check for consistency and reliability of the items
items may reflect the ideas of the researcher and could contain bias or leading questions.
can be easy to distribute to a large sample of the population in comparison to other methods.
Questionnaire AO3 points
closed questions don’t allow pp to explain their choice → lacks depth and context.
replication of questionnaire → data can be compared to identify trends in behaviour
respondents might understand the questions differently → reduces validity.
Large scale samples → more accurate as it reduces affect of anomalies
correlation description
examines relationship between 2 variables to see if they are linked without manipulating IV
correlation AO1 points
does not involve manipulating variables only looking at naturally occuring patterns
strength + direction of relationship is represented by a number between 1 and -1. ( closer to +1 = stronger relationship)
Can be a negative, positive or no correlation
commonly used when experiments are not feasible/ethical
correlation AO3 points
can highlight potential relationship between variables even when IV is not manipulated.
researchers don’t manipulate variables → less invasive + more ethical (especially with sensitive topics)
correlation does not = causation. Something could have happened due to third variable
even though 2 variables correlate it is unclear whether one variable causes the other
case study description
an in depth study of an individual or small group often using multiple data collection methods over an extended period
case study AO1 points
not representative of a larger population → focus on one’s unique experience
gathers in depth + detailed qualitative data about a person
can follow ethical requirement to make sure risk to pp is limited
can combine different research methods to check findings and make comparisons
case study AO3 points
rare cases are unique to the one person → limit generalisability of findings
In depth → can produce data that provides a valid representation of the case
can be questionable whether ethical guidelines can be fully achieved (cannot give informed consent)
reliability of case study can be improved when pp repeats experimental tasks.
observation description
researcher watches and records participants’ behaviour in a natural/controlled environment
observation AO1 points
in structured observations the observer controls setting + apparatus
overt observations - when pp are aware of the observation
overt observations allow researchers to meet ethical issues
covert observation - pp are unaware of the observation
naturalistic observations take place in a naturalistic setting where context is not manipulated
observation AO3 points
strict controls → easy replicated → can test reliability
covert observation → reduces issues of social desirability
overt observations → pp aware of aims → demand characteristics (findings do not represent natural behaviour)
artificiality → reduces ecological validity (results may not represnt how people behave in naturalistic settings)