Experimental designs: repeated measures, independent groups, matched pairs.
Control: random allocation and counterbalancing, randomisation and standardisation.
Sampling: the difference between population and sample; sampling techniques including: random, systematic, stratified, opportunity and volunteer; implications of sampling techniques, including bias and generalisation.
Pilot studies and the aims of piloting.
Quantitative and qualitative data; the distinction between qualitative and quantitative data collection techniques.
Primary and secondary data, including meta-analysis.
Scenarios given throughout and potential exam questions for this topic at the end.
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