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Measures of dispersion
Descriptive statistical techniques conducted to identify the individual differences of scores in a sample
Two examples of measures of dispesion
How scores in a sample are dispersed or spread around the mean, How/the extent to which different scores (individual scores) deviate from one another
Homogeneous
Occurs when the scores are similar
Heterogeneous
Occurs when there is a wide variation within the scores resulting in an increase of values for the measures of dispersion
What is the simplest measure of dispersion
Range
Range
Includes the lowest and highest scores obtained for a variable
Calculation for ranfe
(Highest score) - (Lowest score)
What is the most common measure of dispersion
Standard deviation
Standard Deviation
Average number if points by which the scores of a distribution vary from the mean
Calculation for Standard deviation
Square root of the variance
High deviation from mean
SD (spread of scores) is large
Low deviation from mean
SD (spread of scores) is small
Mean is a measure of?
Central Tendency
When is mean a measure of Central Tendency
When data distribution is symmetrical and normally distributed
Standard Deviation is a measure of?
Dispersion (the average number of points by which the scores vary from the mean)
Likert-type scales are normally?
Ordinal, unless normally distributed
Sample Characteristics
Description of participants who comprise the study sample
How are Sample Characteristics often presented?
In a table and/or narrative of the article. Often presented in each of the groups in a study (ex. intervention and control groups)
Descriptive statistics
Calculates to generate sample characteristics
What does the type of statistic conducted depend on?
The level of measurement of the demographic variables in a study
Demographic variables
Age, Sex, Income Level, Race, Employment, Location, Homeownership, Level of Education
Demographic information can make?
Certain generalizations about groups
Clinical variables
Selective physical, emotional, and cognitive variables collected and analyzed to describe the specific clinical characteristics of the study sample
Level of satisfaction is usually?
Ordinal
When would level of satisfaction be interval?
When values are normally distributed
How can level of satisfaction as Interval level data be described?
Mean, Standard Deviation, Range
What kind of data is mean calculated for?
Interval and Ratio