Intro To Nursing Research Chp 10

Front 1

Analysis of variance (ANOVA)

Back 1

a parametric procedure used to test whether there is a difference among three group means.

Front 2

Chi-square

Back 2

a nonparametric procedure used to assess whether a relationship exists between two nominal level variables; symbolized as x2

Front 3

Correlation

Back 3

A measure that defines the relationship between two variables

Front 4

Descriptive Statistics

Back 4

Statistics that describe and summarize data

Front 5

Homogeneity of variance

Back 5

Situation in which the dependent variables do not differ significantly between or among groups.

Front 6

Inferential statistics

Back 6

Statistics that generalize findings from a sample to a population.

Front 7

Level of confidence

Back 7

Probability level in which the research hypothesis is accepted with confidence. A 0.05 level of confidence is the standard among researchers

Front 8

Mean

Back 8

a measure of central tendency calculated by summing a set of scores and dividing the sum by the total number of scores; aka the average

Front 9

Measures of central tendency

Back 9

Descriptive statistics that describe the location or approximate center of a distribution of data

Front 10

Measures of dispersion

Back 10

Descriptive statistics that depict the spread or variability among a set of numerical data

Front 11

Median

Back 11

A measure of central tendency that represents the middle score in a distribution

Front 12

Mode

Back 12

The score or value that occurs most frequently in a distribution; a measure of central tendency used most often with nominal-level data.

Front 13

Negative correlation

Back 13

Correlation in which high scores for one variable are paired with low scores for the other variable

Front 14

Outlier

Back 14

Data point isolated from other data points; extreme score in a data set

Front 15

Parameter

Back 15

Numerical characteristic of a population (e.g population mean, population standard deviation)

Front 16

Positive correlation

Back 16

Correlation in which high scores for one variable are paired with high scores for the other variable, or low scores for one variable are paired with low scores for the other variable.

Front 17

Probability

Back 17

Likelihood that an event will occur, given all possible outcomes

Front 18

Range

Back 18

A measure of variability that is the difference between the lowest and highest values in a distribution

Front 19

Robust

Back 19

Referring to results from statistical analyses that are close to being valid, even though the researcher does not rigidly adhere to assumptions associated with parametric procedures

Front 20

Skewed distribution

Back 20

A distribution of scores with a few outlying observations in either direction

Front 21

Standard deviation (SD)

Back 21

The most frequently used measure of variability; the distance a score varies from the mean

Front 22

Symmetrical distribution

Back 22

A distribution of scores in which the mean, median, and mode are all the same

Front 23

t-test

Back 23

a popular parametric procedure for assessing whether the two group means are significantly different from one another

Front 24

Variance

Back 24

Measure of variability, which is the average squared deviation from the mean