NUR 200 (Statistical Reasoning): Study Sample, Range, and Standard Deviation

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28 Terms

1
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Measures of dispersion

Descriptive statistical techniques conducted to identify the individual differences of scores in a sample

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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

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Homogeneous

Occurs when the scores are similar

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Heterogeneous

Occurs when there is a wide variation within the scores resulting in an increase of values for the measures of dispersion

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What is the simplest measure of dispersion

Range

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Range

Includes the lowest and highest scores obtained for a variable

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Calculation for ranfe

(Highest score) - (Lowest score)

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What is the most common measure of dispersion

Standard deviation

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Standard Deviation

Average number if points by which the scores of a distribution vary from the mean

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Calculation for Standard deviation

Square root of the variance

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High deviation from mean

SD (spread of scores) is large

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Low deviation from mean

SD (spread of scores) is small

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Mean is a measure of?

Central Tendency

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When is mean a measure of Central Tendency

When data distribution is symmetrical and normally distributed

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Standard Deviation is a measure of?

Dispersion (the average number of points by which the scores vary from the mean)

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Likert-type scales are normally?

Ordinal, unless normally distributed

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Sample Characteristics

Description of participants who comprise the study sample

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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)

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Descriptive statistics

Calculates to generate sample characteristics

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What does the type of statistic conducted depend on?

The level of measurement of the demographic variables in a study

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Demographic variables

Age, Sex, Income Level, Race, Employment, Location, Homeownership, Level of Education

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Demographic information can make?

Certain generalizations about groups

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Clinical variables

Selective physical, emotional, and cognitive variables collected and analyzed to describe the specific clinical characteristics of the study sample

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Level of satisfaction is usually?

Ordinal

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When would level of satisfaction be interval?

When values are normally distributed

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How can level of satisfaction as Interval level data be described?

Mean, Standard Deviation, Range

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What kind of data is mean calculated for?

Interval and Ratio