Study sets, textbooks, questions
Upgrade to remove ads
Evidenced-Based Practice Vocab
Chapter 3 and 4
Terms in this set (40)
Studies that examine cause and effect relationships.
Research that does not manipulate the conditions but rather observes a condition as it exists; used to answer descriptive and relationship questions
A type of research that uses statistics and describes outcomes in terms of numbers.
A type of research that studies questions about meaning and experience.
A type of study that collects data at a single point in time.
A studying which data are collected over at least two-time points and typically cover an extended period of time, such as several years or decades, with the purpose of examining changes over time.
Investigation of fundamental questions that are directed toward a better understanding of individual concepts.
Research that has direct application to healthcare practices.
A research design that compares at least two groups, but does not randomly assign participants to groups; also called a nonrandomized controlled trial.
An Independent variable is a variable that is manipulated or compared in a study.
A dependent variable is a variable that is intended to measure the outcomes of a study.
A control variable is a variable that remains constant or the same between groups or situations.
Extraneous variables are variables that are tracked and then later examined to determine its influence.
Type I error
Type I error- a statistical conclusion error that occurs when the hypothesis is accepted, yet the hypothesis is actually false.
Type II error
Type II error- a statistical conclusion error that occurs when the hypothesis is rejected, et the hypothesis is true.
What does it mean when the p-value is less than or equal to 0.05?
When the p-value is less than 0.05, we reject the null hypothesis meaning there's no difference between the means, and conclude that a significant difference does exist.
What does it mean if the p-value is greater than 0.05?
If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.
Analysis of covariance (ANCOVA)
A statistic used when a researcher wants to examine differences and statistically control a variable that may affect the outcome of a study.
A statistic that measures the strength of the difference between two group means reported in standard deviation units.
Confidence interval (CI)
A reliability estimate that suggests the range of outcomes expected when an analysis is repeated.
The degree to which two or more variables fluctuate together.
Statistics that provide an analysis of data to help describe, show, or summarize the data in a meaningful way such that, for example, the patterns can emerge from the data.
A Statistic that describes the magnitude or strength of a statistic. It can refer to the magnitude of the difference, relationship, or outcome.
A graph used to depict a count.
Statistical techniques that use study samples to make generalizations that apply to an entire population.
Level of significance
Also called alpha, the level at which a statistic is identified as a statistically significant; most typically set at less than 0.05.
A statistical method in which several values are entered into regression equation to determine how well they predict a continuous outcome.
same as average; a descriptive statistic that balances the scores above and below it.
The location of the center of distribution
A descriptive statistic indicating the score value that divides the distribution into equal lower and upper halves of the scores.
The score value that occurs most frequently in the distribution.
type of frequency distribution that represents many data points distributed in a symmetrical, bell-shaped curve.
One -way ANOVA
A difference statistic that compares three or more groups at a single point in time.
Repeated measures ANOVA
A difference statistic, similar to a dependent sample or within-group t-test, that is used when the means are compared over more than two time periods or more than two different tests.
A descriptive statistic that indicates the lowest and highest scores.
Express the probability that the result of a given experiment or study could have occurred purely by chance.
A descriptive statistic that expresses the amount of spread in the frequency distribution and the average amount of deviation by which each individual score varies from the mean.
The spread of scores in distribution
Dependent sample t-test
A statistic that compares a dependent variable within the same group, either a pretext and post test or two different measures.
Independent sample t-test
A statistic that compares the difference in the mean score for two groups that are independent of, or unrelated to, each other.
Other Quizlet sets
MDC 2 Final Exam NCLEX Practice Questions Lower GI…