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Categories for interpreting research data (4) |
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descriptive, correlation, inferential, regression |
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Measures of central tendency (3) |
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Reporting frequencies (using n & %) |
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Measures of disperson (4) |
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range, variance, SD, coefficient of variation (SD/mean) |
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intelligence, health, strength, pain, UI, fxn |
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a=b, a≠b a=b, b=c, so a=c systematic ordered levels (NOIR) |
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AD/BC, Celsius/Fahrenheit |
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consistent & free from error |
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measures what it intends to measure |
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Systematic error = what kind of problem? |
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Random error = what kind of problem? |
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Reliability coefficient = |
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true score variance ÷ observed score |
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Reliability coefficient interpretation (weak, poor, mod, good; and specific numbers) |
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<0.3 ... weak <0.5 ... poor <.75 ... mod >.75 ... good |
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test-retest (ICC), rater (ICC), alternate forms (limits of agreement test) |
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Internal consistency testing (2) |
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split-half reliability, Cronbach's alpha, item to total correlation |
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face, content, criterion-related, concurrent, predictive, construct |
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Evaluating criterion-related validity (3 steps) |
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1. establish test-retest (ICC) 2. eliminate bias (blind subj.) 3. measure against gold standard (correlation) |
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Types of construct validity (5) |
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known groups convergent discriminant hypothesis ccriterion |
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Convergent validity >> more/fewer correlations? |
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Discriminant validity >> more/fewer correlations? |
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True change must be measured with __________ data |
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Cross validation: retesting with another group using same test. Allows us to ??? |
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generalize test across samples |
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using a random sample to learn about a larger population |
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Ways to make an inference (2) |
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estimation of parameters (point estimation, interval estimation) hypothesis testing |
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assumption about population parameter |
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null hypothesis statistical hypothesis |
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alternative hypothesis research hypothesis |
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Test for nominal data, 2 tests |
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Test for ordinal data, 2 groups |
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Test for continuous data, 2 groups |
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Test for ordinal data, 2 tests |
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Test for continuous data, 2 tests |
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Test for ordinal data, >2 groups |
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Test for continuous data, >2 groups |
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Test for ordinal data, >2 tests |
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Test for continuous data, >2 tests |
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Correlation test for nominal data |
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Correlation test for ordinal data |
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Correlation test for continuous data |
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3 assumptions of parametric test: |
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1. n≥30 2. normal curve 3. interval/ratio data |
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