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18 Cards in this Set
- Front
- Back
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A simple experiment has |
one IV and one or more DVs |
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3 steps to an experiment are |
Participation selection, Manipulating IV/Random Assignment, and significance testing (and size effect) |
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How do we divide each IV? |
we divide them into different levels of intensity |
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How do we manipulate the IV? |
assign each level of the IV into a different group of subjects |
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The DV is always assumed to be |
Representative of the population |
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When dividing the IV into different levels, the group assigned to each level should represent |
the sample as a whole before the division among the levels |
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Hypothesis testing for experiments is determined by |
determining if the alpha set for each individual IV is less than 5% null |
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What does a t-test examine? |
it tests to see if the means from two conditions are diffrent |
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the t-test examines these two things |
Between group variance |
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Is it good for the means of two conditions to be very similar? |
No; Bigger difference is better for examination |
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Is it good for within group variance to be small? |
Yes, because this means there is a lesser chance to count variations |
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t is calculated by |
dividing between group variance with within group variance |
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What is used when there is more than one IV? |
we use a factorial design |
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How are factorial designed determined? Ex. 2x2 design |
Each number is an IV, and the numbers represent how many levels that IV has |
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Why do we put factorial designs into boxes |
to place each separate combination of conditions into cells on the grid |
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What goes in each cell of a factorial design |
the means for each condition of the DV |
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how do we check if there are main effects within a factorial design |
We test each the effect of each IV seperatly by adding the conditions across or down and dividing for the mean |
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How do we determine3 main effects and interactions on a line graph? |
1. If the lines slant, there is a main effect 2. If the lines are separate/far apart, there is a main effect 3. If the lines cross or look like they are going to cross, there is an interaction effect |
