Participants act as their own control so individual differences play less of a role, only way to test changes within people over time, fewer participants needed
1 of 8
Weaknesses of paired t-tests
Order of stimuli can affect results, some studies not possible, design may give the game away
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Strengths of unpaired t-tests
Scores more likely to be independent (removed order effects), important when testing interventions (control groups needed)
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Weaknesses of unpaired t-tests
Introducing potential confounds (individual differences), more participants needed
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Strengths of correlations
Can be completely different measures, not reliant on measures of central tendency
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Weaknesses of correlations
No causation, sensitive to number of participants, must be continuous variables
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Strengths of chi square
Doesn't rely on normal distribution, sensitive to small effects
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Weaknesses of chi square
No directional hypothesis, issues when low cell counts, must be categorical values, interpretation isn't always clear
8 of 8
Other cards in this set
Card 2
Front
Weaknesses of paired t-tests
Back
Order of stimuli can affect results, some studies not possible, design may give the game away
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