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Interval data
Includes units of equal size, such as IQ results. There is no zero point. An example is time: Time is
measured in 24 hours in each day; the time between each hour is the same, 60 minutes.
methods section components
When analyzing the quality of a study, a careful evaluation of the research methods can reveal critical
details about population and sample, co-variables and hypothesis, data presentation, statistical analysis,
and study limitations.
Misleading Statistics
Interpreting and presenting results of data analysis affords many opportunities for accidental or
deliberate misrepresentations of data. Common examples include implying causation, extrapolating
beyond the reasonable, relying on a biased or incomplete sample, and using inappropriate graphical
representations.
Nominal Data
Can be measured as a frequency or percentage, and the mean of these data cannot be calculated. In
healthcare might include demographic information about patients. The word means "pertaining to a
name."
Ordinal Data
The word means to "put in order." It can be measured as a frequency, and the mean of ordinal data is
often calculated. In healthcare might include patient satisfaction surveys using a Likert scale.
Pearson's Correlation Test
Is used with interval and ordinal scale data and determines the extent to which a change in one variable
tends to be associated with a change in another.
This study source was downloaded by 1827175 from cliffsnotes.com on 01-08-2026 18:57:36 GMT -06:00
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1 of 12 of 2
Interval data
Includes units of equal size, such as IQ results. There is no zero point. An example is time: Time is
measured in 24 hours in each day; the time between each hour is the same, 60 minutes.
methods section components
When analyzing the quality of a study, a careful evaluation of the research methods can reveal critical
details about population and sample, co-variables and hypothesis, data presentation, statistical analysis,
and study limitations.
Misleading Statistics
Interpreting and presenting results of data analysis affords many opportunities for accidental or
deliberate misrepresentations of data. Common examples include implying causation, extrapolating
beyond the reasonable, relying on a biased or incomplete sample, and using inappropriate graphical
representations.
Nominal Data
Can be measured as a frequency or percentage, and the mean of these data cannot be calculated. In
healthcare might include demographic information about patients. The word means "pertaining to a
name."
Ordinal Data
The word means to "put in order." It can be measured as a frequency, and the mean of ordinal data is
often calculated. In healthcare might include patient satisfaction surveys using a Likert scale.
Pearson's Correlation Test
Is used with interval and ordinal scale data and determines the extent to which a change in one variable
tends to be associated with a change in another.
This study source was downloaded by 1827175 from cliffsnotes.com on 01-08-2026 18:57:36 GMT -06:00
*@*^%^#!*&^*&^!()(@*&$*@10/23/2026,
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1 of 12 of 12 of 2
