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Numbers in parentheses indicate the chapter in which the term is introduced.
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absolute reliability. Indicates how much of a measured value, expressed in the original units, is likely to be due to error. (9,32)
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absolute risk increase (ARI). The increase in risk associated with an intervention as compared to the risk without the intervention (or the control condition); the absolute difference between the control event rate (CER) and the experimental event rate (EER). (34)
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absolute risk reduction (ARR). The reduction in risk associated with an intervention as compared to the risk without the intervention (or the control condition); the absolute difference between the experimental event rate (EER) and the control event rate (CER). (34)
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accessible population. The actual population of subjects available to be chosen for a study. This group is usually a nonrandom subset of the target population. (13)
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active variable. An independent variable with levels that can be manipulated and assigned by the researcher. (14)
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adjusted means. Means that have been adjusted based on the value of a covariate in an analysis of covariance. (30)
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agreement. (see percent agreement)
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allocation concealment. Implementation of a process of random assignment where those involved in the trial are shielded from knowing the upcoming participant group assignment. (14)
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alpha coefficient. (see Cronbach’s alpha)
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alpha (α). Level of statistical significance, or risk of Type I error; maximum probability level that can be achieved in a statistical test to reject the null hypothesis. (23) (see also Cronbach’s alpha)
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alternate forms reliability. Reliability of two equivalent forms of a measuring instrument. (32)
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alternating treatment design. A single-case design in which two (or more) treatments are compared by alternating them within a session or in alternate sessions. (18)
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alternative hypothesis (H1). Hypothesis stating the expected relationship between independent and dependent variables; considered the negation of the null hypothesis. The alternative hypothesis is accepted when the null hypothesis is rejected. (23)
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analysis of covariance (ANCOVA). Statistical procedure used to compare two or more conditions while controlling for the effect of one or more covariates. (15,30)
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analysis of variance (ANOVA). Statistical procedure appropriate for comparison of three or more treatment groups or conditions, or the simultaneous manipulation of two or more independent variables; based on the F statistic. (25)
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a priori comparisons. (see planned comparisons)
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attributable risk. An estimate used to quantify the risk of disease in an exposed group that is attributable to the exposure, by removing the risk that would have occurred as a result of other causes (risk in the unexposed group). (34)
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attribute variable. An ...