Term
|
Definition
_____ is used to examine all data descriptively. The researcher uses this analysis to become familiar with the nature of the data obtained on variables that will be used to test hypotheses, research questions, or objectives. |
|
|
Term
|
Definition
_____ are subjects or data points with extreme values (values that lie far from other plotted points on a graph) that seem unlike the rest of the sample. |
|
|
Term
|
Definition
In studies, when significant differences are found, _____ _____ are performed after the initial stastical analysis to identify which groups are significantly different. |
|
|
Term
|
Definition
Researchers use ____ ____ to confirm expectations regarding data that are expressed as hypotheses, questions, or objectives. |
|
|
Term
|
Definition
____ ____, which is deductive, is sed to explain the extent of a relationship, the probability that an event will occur in a given situation, or the probability that an event can be accurately predicted. |
|
|
Term
Level of statistical significance |
|
Definition
The cutoff point, referred to as alpha, or the ___ ___ ___ ___, is the probability level at which the results of statistical analysis are judged to indicate a statistically significant difference between the groups. For most nursing studies it is 0.05. |
|
|
Term
|
Definition
A conclusion or judgment based on evidence. |
|
|
Term
|
Definition
The theoretical ____ ____ is an expression of statistical theory. It is a theoretical frequency distribution of all possible values in a population; however, no real distribution exactly fits it. |
|
|
Term
two-tailed test of significance |
|
Definition
The analysis of a nondirectional hypotheses is called a ___ ___ __ ____. |
|
|
Term
one-tailed test of significance |
|
Definition
In a ___ ___ __ ____, the hypothesis is directional, and extreme statistical values that occur on a single tail of the curve are of interest. |
|
|
Term
|
Definition
___ _ ___ occurs when the null hypothesis is rejected when it is true. |
|
|
Term
|
Definition
___ _ ___ occurs when the null hypothesis is regarded as true but it is false. |
|
|
Term
|
Definition
____ is he probability that a statistical test will detect a significant difference that exists. |
|
|
Term
|
Definition
The risk of a Type 2 error can be determined using ___ ___ (four parameters of this analysis include: level of significance, sample size, power, and effect size). |
|
|
Term
|
Definition
The degree to which the phenomenon is present in the population, or the degree to which the null hypothesis is false. |
|
|
Term
|
Definition
___ _ ___ is important for calculating statistical procedures and interpreting the results using statistical tables. It inolves the freedom of a score value to vary given the other existing scores' values and the established sum of these scores. |
|
|
Term
|
Definition
Statistics that allow the researcher to organize the data in ways that give meaning and facilitate insight; examples are frequency distributions and measures of central tendency and dispersion. |
|
|
Term
|
Definition
This is usually the first method used to organize the data for examination. There are two types: Ungrouped and Grouped |
|
|
Term
Ungrouped frequency distribution |
|
Definition
Distribution in which a table is developed to display all numerical values obtained for a particular variable. |
|
|
Term
Grouped frequency distributions |
|
Definition
Distributions used when continuous variables, such as age, are being examined. |
|
|
Term
|
Definition
Distribution that indicates the percentage of subjects in a sample whose scores fall into a specific group and the number of scores in that group. |
|
|
Term
Measure of central tendency |
|
Definition
The most concise statement of the nature of the data; the three that are commonly used in statistical analyses are the mode, median, and mean. |
|
|
Term
|
Definition
The numerical nalue or score that occurs with greatest frequency; it does not necessarily indicate the center of the data set. |
|
|
Term
|
Definition
Measures of individual differences of the members of the sample. Aka variability |
|
|
Term
|
Definition
The simplest measure of dispersion. It is obtained by subtracting the lowest score from the highest score. |
|
|
Term
|
Definition
Is calculated with a mathematical equation. The numerical value obtained from the calculation depends on the measurement scale used. |
|
|
Term
|
Definition
___ ___ is the square root of the variance. It provides a measure of the average deviation of a value from the mean in that particular sample. |
|
|
Term
|
Definition
Numbers that make sense only within the gramework of measurements used within a specific study are transformed into numbers (___ ___) that have a more general meaning of the score. It allows an easy conceptual grasp of the meaning of the score. |
|
|
Term
|
Definition
A common standardized score is called a ___. It expresses deviations from the mean (difference scores) in terms of standard deviation units. |
|
|
Term
|
Definition
A ____ has two scales; horizontal and vertical. It can be used to illustrate the dispersion of values on a variable. |
|
|
Term
|
Definition
On a scatterplot, each scale is referred to as an axis. The vertical scale is called the a)____; the horizontal scale is b)____. |
|
|
Term
|
Definition
Test that determines whether two variables are independent or related; the test can be used with nominal or ordinal data. |
|
|
Term
Pearson product-moment correlation |
|
Definition
A parametric test used to determine relationships among variables. |
|
|
Term
|
Definition
Measures the extent of relations between two variables. |
|
|
Term
|
Definition
____ means that the analysis gives no indication of the direction of the relationship. |
|
|