Applied Statistics in Occupational Safety and Health by Christopher A. Janicak

Author:Christopher A. Janicak [Неизв.]
Language: eng
Format: epub, pdf
Publisher: Bernan Press

Interval/ratio

Interval/ratio

Pearson correlation coefficient

Ordinal

Ordinal

Spearman rank–order correlation coefficient

Dichotomous

Dichotomous

Phi coefficient

Interval

Dichotomous

Point biserial correlation

Pearson Correlation Coefficient

There are a number of bivariate correlation procedures. The differences in the procedures are due to differences in the format of the data being used. For example, if one wishes to correlate two variables where both are continuous in nature, then the Pearson correlation coefficient can be used. Table 7.1 shows data formats with the type of correlation coefficient that should be used with each.

As stated above, the Pearson correlation procedure is used when both variables are continuous in nature. In addition to this requirement, the following assumptions must be met in order to use the Pearson correlation coefficient (Rubin 2009, 212):

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