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20 Cards in this Set
- Front
- Back
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Multiple Baseline across Participants
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different time test:
different participants with same behavior |
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Multiple Baseline across Behaviors
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different time test:
different behaviors on one participants |
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Multiple Baseline across Situations
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different time test:
different situations on same behavior on same participant |
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Interaction Design
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single subject research design that allows measurement of the effects of combined treatment
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Statistical Significance vs. Clinical Significance
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Statistical - p<.05
Clinical - practical/applicable importance of a result |
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Non-parametric tests
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Inferential data with qualitative data (DV is nominal or ordinal)
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Non-parametric test equivalent to a independent t-test
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Mann-Whitney U Test
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Non-parametric test equivalent to a dependent t-test
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Wilcoxon's rank-sum Test
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Two types of Chi Squares
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Goodness-of-fit
Test of Independence/Homogeneity |
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Chi Square Goodness-of-fit Uses
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one variable broken into categories (color - brown, blue, etc)
Data are qualitative (nominal) |
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Purpose 1
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tests the distribution of levels of that variable in the general population
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Purpose 2
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does expected proportion in the population is what you observe in sample
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Assumptions
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80% of the categories have 5 or more
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables, Data are qualitative,
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables
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Chi Square Test of Homogeneity or Crosstabs Uses
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Two variables
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Chi Square Test of Homogeneity Uses
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Two variables
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