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Statistical Methods Flashcards 1

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Question
Answer
range   length of the smallest interval which contains all the data  
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interquartile range (IQR)   difference between the third and first quartiles  
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Variance   amount of variation of all the scores for a variable s(square)=sum (x-mean(x))(square)/N  
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Standard Deviation   square root of variance  
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Normal Distribution   two-thirds of cases within one standard deviation of the mean two-thirds of cases within one standard deviation of the mean approximately 95% of cases within two standard deviations of the mean  
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Deviation   x-x(mean)  
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Experimental research design   a scientific control is used to minimize the unintended influence of other variables Random assignment of subjects  
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Quasi-experimental design   Experimental method but without random assignment  
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When is quasi experimental design used?   when randomization is impossible and/or impractical  
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Advantages of quasi experimental design   Easier minimizes threats to external validity efficient in longitudinal research  
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Disadvantages of quasi experimental design   Threats to internal validity Causal relationships difficult to determine Confounding variables  
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Internal validity   extent to we can accurately state that the independent variable produced the observed effect  
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Threats to internal validity   regression to the mean confounding variables extraneous variable occurring between pre- and post-measurement maturation instrumentation error investigator bias differential attrition  
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External validity   Generalizability – to or across target populations – to or across tasks – to or across environments  
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Threats to external validity   situation or environment Hawthorne effect (testing effect) Rosenthal effect Selection bias pre and post test effects  
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Hawthorne effect   People act differently when they know they are being tested  
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Non-experimental design   No control group Observational Used for theory development  
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cross tabulation   A table of the frequency distribution of two or more variables  
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Null hypothesis   hypothesis of no difference Something happens by chance or that no difference exists between populations  
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Chi-square (χ2)   compares a set of frequencies expected if the null hypothesis is true (fe) against a set of frequencies observed in a sample (fo)  
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Geometric mean   used for data based on ratios, proportionate growth, percentage change.  
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differential attrition   extent of subjects who drop out of a study AKA mortality  
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reliability   consistency of observations not the same as validity (could be consistently false) reliability is necessary BEFORE validity can be established  
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Social desirability effect   Subject respond in a way that appears favorable to the tester  
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Advantages of interviews   higher response rate more lengthy and detailed more complex more flexible linking  
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Advantages of questionnaires   low cost protectivity (confidential) less reactivity  
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reactivity   act of measuring changes responses  
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Cohort study   Compare group of people who share a certain characteristic (smokers) with unexposed group(non-smokers).  
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Experimental trial   Exposed v. unexposed groups in trial setting (drug v. placebo)  
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Case control study   Historical, Subjects already have a condition, study looks back to see if there are characteristics of these patients that differ from those who don’t have the disease  
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Odds Ratio   Probability that something will occur divided by probability it will not occur.  
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Kurtosis   Measure of peakedness in frequency distributions  
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platykurtic   lower, wider peak around the mean  
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leptokurtic   a more acute peak around the mean (bunching toward the mean)  
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skewness   a measure of the asymmetry of the probability distribution  
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positive skew   Tail to the right is longer  
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negative skew   Tail to the left is longer  
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