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Statistics for Nurs

Chapters 1-3

Evidence Based Practice Using the best scientific evidence available to guide your practice.
Evidence Based Practitioners Those who use evidence to guide their own practice and who conduct or participate in evaluations of their own practice programs.
Descriptive Statistics Statistics that organize, summarize, and display the data collected in a particular study without trying to develop inferences beyond the sample or trying to rule out sample error in hypothesis testing.
Central Tendency A single value, summary statistic, used to describe the central position within a set of data.
Variability A single value, summary statistic, used to describe the spread of a set of data.
Effect Size A statistic used to depict a relationship magnitude, often involving a z-score calculation to compare the difference between two means in standard deviation units.
Inferential Statistics Statistics that are used to assess the probability of sampling error and that go beyond describing sample data in an effort to make inferences about a population.
Correlation The degree to which two variables vary together in a consistent fashion.
Meta Analysis A study of studies in which each study becomes a subject for the meta-analytical research study and advanced statistical procedures are sued to merge the disparate findings of all the different studies.
Regression Analysis A form of correlation analysis that uses an equation to enable us to predict the value of one variable based on the value of another variable (or variables).
Single-System Design A form of quasi-experimental design that practitioners can use to evaluate their own practice effectiveness by taking multiple measurements before and after intervention to try and rule out the influence of history or the passage of time.
Coding Converting data to machine-readable format by assigning a code number or a code letter to each category of a variable.
Data Processing Preparing and entering data for computer analysis.
Non-Parametric Statistics Tests of statistical significance that do not require all the same assumptions as parametric tests; most often used when variables are not at the interval or ratio level of measurement.
Parametric Statistics Tests that assume that at least one variable in the test has an interval or ratio level of measurement; tested parameters are distributed normally in the population; and groups being compared are independent of eachother and have been randomly selected.
Created by: BabyNurse17
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