Measuring effects within subjects

  • Reduced individual differences
  • Fewer participants required
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  • Created by: Shannon
  • Created on: 14-12-14 18:28
What are the 4 main advantages of a within subjects design?
1. Reduced individual differences 2. Fewer participants required 3. Good for longitudinal measurement 4. Good way to show the power of an effect
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What is the main violation of assumptions?
Data are not independent as the same participants have generated scores in multiple conditions.
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Name the main disadvantages of within subjects design.
Carryover effects (practice, fatigue, attrition and experience of test conditions) and transfer effects - conditions may influence performance in other conditions.
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Name 5 ways to reduce the impact of carryover effects.
1. Counterbalancing 2. Randomization of condition orders 3. re-training 4. Wahout period 5. Treat treatment order as an IV.
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Why do we need to calculate covariance in a paired samples t-test?
Because scores from the same participants are correlated.
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What are the assumptions of a paired samples t-test?
1. Heterogenity of variance 2. non-normal distribution of scores 3. Normally distributed difference scores 4. Categorical IV 5. Continuous DV.
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What is error considered to be in a 1-way ANOVA?
Unsytematic (due to chance) as it cannot be measured
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What is the top number known as in a fraction?
Numerator
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What is the bottom number in a fraction known as?
Denominator
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What error is present in RM ANOVA?
Unsystematic (due to chance. Denominator of f-ratio) and systematic (individual differences)
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What does N stand for in an RM ANOVA?
Number of observations.
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What arethe assumptions of an RM ANOVA?
Refer to paired samples t-test assumptions...+ Sphericity (Variances within conditions are similar)
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Other cards in this set

Card 2

Front

What is the main violation of assumptions?

Back

Data are not independent as the same participants have generated scores in multiple conditions.

Card 3

Front

Name the main disadvantages of within subjects design.

Back

Preview of the front of card 3

Card 4

Front

Name 5 ways to reduce the impact of carryover effects.

Back

Preview of the front of card 4

Card 5

Front

Why do we need to calculate covariance in a paired samples t-test?

Back

Preview of the front of card 5
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