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Aim
a statement that explains the purpose of a study
Independent and Dependent Variables
The Independent Variable (IV) is the factor which is changed/manipulated
Dependent Variable (DV), which is the variable being measured
Extraneous Variables
Variables which affect the DV but are not manipulated by the researcher
hypothesis
testable statement written as a prediction of what the researcher expects to find as a result of their experiment
Alternative and Null hypotheses
The alternative Hypothesis is a hypothesis that states that the IV will affect the DV, wheras a null hypothesis states the opposite
Operationalisation
Clearly defining variables in terms of how they could be measured
Methods of standardisation
instructions: ppts all recieve the same information
procedures: the ppts environment/instructions/experience should be the same unless the difference is the independent variable
randomisation: make sure there are no biases in procedures
Reliabilty
whether a study would produce similar results if repeated
Validity
whether the reasearch measures what it should be
Types of Validity
Internal validity: how sure we can be the IV affects the DV
External Validity:how much does the study tell us about people real world behaviours
Populational validity: is the sample of ppts representative of the whole world
Ecological Validity: does the setting for the study reflect real life
Ethical Considerations
informed consent
anonymity and confidentiality
voluntary participation
protection from harm
dont impose unreasonable demands
Sampling methods
sampling is thr process of selecting a representative group for a study
target populations is the group of induviduals from which the sample will be drawn from
Random Sampling
all members of the target group have an equal chance of selection
+reasonable chance of acheiving a representative sample
- small minority groups in target group may distort results
- can be impractica to use a completeley random technique
Systematic sampling
a systematic method is chosen for selection from a target group e.g. every fourth name
+ assuming the list is randomised the method provides an unbiased representative sample
- if the list isnt randomised the method is biased
Stratified Sampling
the sampler divides the target group into sections so the sample contains characteristics in a proportion representative of the target populations
+ avoids misrepresentation
- takes more time and resources
Opportunity sampling
participants who are acessible and willing to take part are targeted
+ method is easy and inexpensive
- sample may not end up being representative
Quantative and Qualitative Data
Quantative Data - data that involves words and numbers and has set answers
+ easy to analyse
- lacks depth and detail
Qualitative - data that starts out in words or pictures but can be turned into numbers
+ has depth and detail
- hard to analyse
Primary and Secondary Data
Primary Data - Data which has been collected firsthand by the researchers for the experiment
+ data will suit the aims of the researcher
- takes more time and effort
Secondary Data - Data that has already collected by someone else
+ easy to access
- not tailored to the study
Experimental Design
The various ways in which participants can be organised into conditions in an experiment
Independent Groups Design
ppts are allocated to one condition of the IV so there are separate groups for each condition
+ can use same stimulus material in both groups
- unknown if induvidual differences are EVs
Repeated Measures
ppts are involved in all conditions and their sets of data are compared. Half do one condition and then switch to the other
+ measure for induvidual differences
- can’t use the same stimulus materials
- order effect
Matched Pairs
ppts are allocated to one condition but they are matched to eachother on characteristics that may affect the DV e.g. age or sex
+ comparing similar people without order effects
+ can use same stimulus materials
- complicated to get matching people