Continuous variables
Continuous variables provide precision and accuracy in measurement
Continuous variables provide the most precise and accurate measure of a construct or phenomenon.
The continuous scale of measurement is also known as "scale," "ratio," and for all intents and purposes in applied statistics, "interval" level measurement.
Continuous measurement allows for assessment of both the distance and magnitude of treatment effects.
Continuous variables also have the benefit of entailing parametric statistics, which are the most powerful type of inferential statistics.
Continuous outcomes further increase the statistical power and reduce the needed sample size to detect significant effects.
Means and standard deviations are much more easier to interpret and apply in applied empirical and clinical settings.
The continuous scale of measurement is also known as "scale," "ratio," and for all intents and purposes in applied statistics, "interval" level measurement.
Continuous measurement allows for assessment of both the distance and magnitude of treatment effects.
Continuous variables also have the benefit of entailing parametric statistics, which are the most powerful type of inferential statistics.
Continuous outcomes further increase the statistical power and reduce the needed sample size to detect significant effects.
Means and standard deviations are much more easier to interpret and apply in applied empirical and clinical settings.
Other types of continuous variables
Interval measures do not possess a "true zero" and can generate measures of distance, but not magnitude.
Ratio variables possess a "true zero" and can generate measures of both distance and magnitude.
Count variables represent the number of times that an event or phenomenon occurs.
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