NPTE Research & EBP
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| Measures of central tendency | show 🗑
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| Mean | show 🗑
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| show | midpoint of all scores
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| show | most frequently occurring score
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| mean is appropriate for what data types? | show 🗑
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| show | ordinal data
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| mode is appropriate for what data types? | show 🗑
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| show | range, standard deviation, normal distribution, percentiles & quartiles
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| Range | show 🗑
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| show | variability of scores from the mean. most frequently used
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| show | subtract each score from mean, square each difference, add up all squares, divide by number of scores
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| Normal distribution | show 🗑
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| Inferential statistics | show 🗑
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| show | an estimate of expected errors in a score, measure of response stability or reliability
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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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| show | result of sampling error, expected chance variation among the means
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| Type 1 error | show 🗑
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| Type 2 error | show 🗑
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| show | increase sample size, random selection, valid measures
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| Parametric statistics | show 🗑
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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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| show | parametric test of significance used to compare 2 independent groups created by random assignment and ID difference at a selected probability level
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| show | compares 2 independent groups
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| show | compares 2 matched samples (does therapy incr fxn in siblings with autism)
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| show | based on directional hypothesis. Evaluates differences in data on only one end of distribution (neg or pos)
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| show | based on a nondirectional hypothesis. Evaluates differences in data on both ends of a distribution. Tests of signif are almost always two-tailed
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| show | use to compare more than 2 means within a single sample.
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| ANOVA | show 🗑
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| show | compares multiple groups on a single IND variable. Ex: Balance Master score for 3 different age groups
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| Factorial ANOVA | show 🗑
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| show | Parametric test used to compare 2 or more treatment groups or conditions while also controlling for the effectss of intervening variables.
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| show | ORDINAL or NOMINAL data, testing not based on population parameters
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| When to use nonparametric | show 🗑
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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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| show | used to correlate CONTINUOUS data wi
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| show | used to establish relationship between two variables as a basis of prediction
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| Spearman's Rank | show 🗑
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