research methods Flashcards
(95 cards)
hypothesis
a clear, precise, testable statement - shows relationship between variables- stated at the outset of any study
aim
a general statement of the research- the purpose of the study
directional hypothesis
shows the direction of the difference between 2 conditions
based on previous research findings
non-directional hypothesis
states that there is a difference between 2 conditions, but direction not specified
null hypothesis
what is assumed is true during the study
data collected either supports or rejects the null hypothesis
it is often a prediction of no correlation between variables
alternative hypothesis
used when the null hypothesis is rejected
can be (non) directional
levels of the IV
control: without IV
experimental: with IV
operationalisation
clearly defining variables in terms of how they can be measured
to make the hypothesis clear and testable
extraneous variable
any variable other than the IV that may have an effect on the DV if not controlled
do not vary systematically with IV
confounding variable
essentially an uncontrolled EV
any variable other than the IV that may have affected the DV so that we cannot be sure of the true source of change to the DV
vary systematically with the IV
demand characteristics
any cue from the research situation that may be interpreted by participants as revealing the purpose of the investigation
this may lead to participants changing behaviour (please/screw-U)
investigator effects
the effect of the investigator’s (un)conscious behaviour on the DV
may include design, selection, interaction
randomisaiton
the use of chance to control for the effect of bias and investigator effects when designing materials and when deciding the order of conditions
also can avoid order effects
standardisation
using exactly the same formalised procedures and instructions for all participants in a study, including the environment
writing a hypothesis
- state whether there will be a significant difference/ correlation
- include the IV + DV
+ LEVELS - operationalise
- state direction if necessary
experimental design
the different ways in which the testing of participants can be organised in relation to the experimental conditions
types of experimental designs + definitions
independent measures: participants allocated to different groups where each group represents 1 experimental condition
repeated measures: all participants in all conditions
matched pairs design: pairs of participants are matched on variables that may affect the DV, one of each pair in each condition
- to control for the confounding variable of participant variables
- may necessitate a pre-test
independent measures- evaluation
strengths
- no order effects (learning/fatigue)
- only aware of 1 condition- less likely demand characteristics
weaknesses
- participant variables- may cause confounding variables
- no. of participants- 2x as many are needed compared to repeated
random allocation
to control for participant variables in an independent group design- ensures each participant has the same chance of being in 1 condition as another
repeated measures- evaluation
strengths
- no participant variables- same people in each condition
- no. of participants is fewer for same amount of data
weaknesses
- order effects- repeating tasks may lead to learning/fatigue effects + demand characteristics
counterbalancing
control for the effects of order in repeated measures
- half experience in 1 order, half in the other
matched pairs- evaluation
strengths
- no order effects
- participant variables- important differences are minimised by matching
weaknesses
- no, participants- 2x as many needed compared to repeated
- practicalities- time consuming, expensive, difficult to pre-test and identify pairs
- participant confounding variables are still likely
in experimental design, consider
order effects, participant variables, number of participants, demand characteristics. practicalities
types of experiment + definitions
lab: in a controlled environment, researcher manipulates IV and records effect on DV, whilst maintaining strict control of EV
field: takes place in a natural setting- researcher manipulates IV and records effect on DV
natural: the change in IV is not brought about by the researcher, but would have happened had they not been present
researcher records effect on DV.
IV = natural and not necessarily the setting so participants can be tested in a lab
quasi: IV is based on an existing difference between people- it is naturally occurirng, such as gender