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independent groups
Different participants are used in each condition of the experiment.
strengths of I
No order effects (practice or fatigue)
Simple to set up
lowers risk of demand characteristic as harder to work out if they only experience one level of IV
limitations of I
Participant variables may differ between groups → can confound results
Requires more participants= time and money
repeated measure
The same participants take part in all conditions of the experiment.
what technique is used to minimise participant variable
Random allocation
Definition:
A technique used in independent groups designs to assign participants to conditions randomly, ensuring each participant has an equal chance of being in any condition.
Purpose / Strength:
Controls participant variables → reduces confounding
Key terms for AQA: independent groups, participant variables, random.
strength of repeated
Controls participant variables (same people in all conditions)
Fewer participants needed
limitation of repeated
Order effects (practice, fatigue, boredom)
Demand characteristics more likely
how are order effects reduced
A technique used in repeated measures designs to control order effects by varying the order of conditions for participants.
Example:
Half of participants do Condition A first, then Condition B.
The other half do Condition B first, then Condition A.
matched pairs
Different participants are used in each condition, but they are matched on key characteristics (e.g., age, IQ) to make groups as similar as possible.
strengths of matched
Reduces participant variables compared to independent groups
No order effects
limitations of matched
Time-consuming to match participants accurately
Matching can never be perfectly remove participant variable
what reduces reascher bias
Randomisation |
Using chance to decide the order of trials, presentation of materials, or selection of participants |
Reduces researcher bias, ensures fairness |
how can we increase reliability and control EVS
Standardisation |
Keeping procedures, instructions, and conditions the same for all participants |
Controls extraneous variables, ensures reliability |