Correlation Coefficient Correlation coefficient refers to the type of relationship between variables...
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Correlation Coefficient
Correlation Coefficient Correlation coefficient refers to the type of relationship between variables that allows one to make predications from one variable
Correlation coefficient refers to the type of relationship
between variables that allows one to make predications from one
variable to another. Correlations does not mean that one variable
causes another to occur, but predictions can be made based on the
data of one variable.
Slide 4
The formula for correlation coefficients varies and depends on
the type data being analyzed. The types of data include nominal,
ordinal, interval, and ratio scales of measurement. The Pearson
Product-Moment Correlation Coefficient is the most commonly used
correlation coefficient.
Slide 5
The Pearson Product-Moment is usually referred to as Pearsons r
(the r being the statistical notation) and is used to measure data
types of interval or ratio (Jackson, 2009).
Slide 6
r = zx zy N Where z is the z score of the variable, x and y are
the variables (the data of such variables), and N being the number
of variables or the number of participants.
Slide 7
The other types of formula used in calculation correlation
coefficient are the Spearmans rank order, point-biserial, and phi.
The use of these formulas requires that the data is in nominal or
ordinal scales of measurement.
Slide 8
Correlations are either positive or negative and a positive
correlation is usually no greater than 1 Correlation is typically
illustrated using a scatter plot graph