NPTE Research & EBP
Help!
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Measures of central tendency | show 🗑
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show | average of all scores
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show | midpoint of all scores
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show | most frequently occurring score
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show | interval, ratio
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show | ordinal data
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mode is appropriate for what data types? | show 🗑
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Measures of variability | show 🗑
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show | difference between highest and lowest score
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show | variability of scores from the mean. most frequently used
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How to calculate SD | show 🗑
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Normal distribution | show 🗑
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show | allow determination of how likely results can be generalized to a population
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Standard error of measurement | show 🗑
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show | estimation of true differences not due to chance, rejection of null hypothesis
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show | probability level - reselected level of statistical significance. Most commonly .05 or .01 (.05= only 5x out of 100 is the difference due to chance)
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show | based on # of subjects and groups, allows determination of level of significance
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Standard error | show 🗑
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show | Null hypothesis rejected when it is true.
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Type 2 error | show 🗑
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How to decrease type 1/2 errors | show 🗑
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show | Interval or Ratio data
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show | normal distribution (usu large representative samples this is met), random sampling performed, variance in groups is equal
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T-test | show 🗑
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T-test for independent samples | show 🗑
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T-test for paired samples | show 🗑
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One-tailed T-test | show 🗑
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Two-tailed T-test | show 🗑
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Inappropriate use of T-test | show 🗑
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ANOVA | show 🗑
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Simple (one-way) ANOVA | show 🗑
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Factorial ANOVA | show 🗑
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ANCOVA | show 🗑
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Nonparametric statistics | show 🗑
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show | parametric assumptions cannot be met. used with small sample, ordinal or nominal level data. Less powerful than parametric
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Chi square test | show 🗑
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show | used to determine the relative strength of a relationship between 2 variables
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Pearson product-moment coefficient (r) | show 🗑
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show | used to establish relationship between two variables as a basis of prediction
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show | NONPARAMETRIC test to correlate ORDINAL data.
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