compare_cor.Rd
A function to compare correlations between studies. This function is intended to be used to compare the compatibility of original studies with replication studies (lower p-values indicating lower compatibility).
Correlation study 1.
Degrees of freedom from study 1 (if a simple correlation the df is N-2).
Correlation study 2.
Degrees of freedom from study 2 (if a simple correlation the df is N-2).
Method for determining differences. Default, "z", will use Fisher's transformation, while "Kraatz" will use the Kraatz method.
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater", "less", "equivalence" (TOST), or "minimal.effect" (TOST). You can specify just the initial letter.
a number indicating the null hypothesis. For TOST, this would be equivalence bound.
This function tests for differences between correlations. @return A list with class "htest" containing the following components:
"statistic": z-score
"p.value": numeric scalar containing the p-value for the test under the null hypothesis.
"estimate": difference in SMD between studies.
"null.value": the specified hypothesized value for the null hypothesis.
"alternative": character string indicating the alternative hypothesis (the value of the input argument alternative). Possible values are "greater", "less", or "two-sided".
"method": Type of SMD.
"data.name": "Summary Statistics" to denote summary statistics were utilized to obtain results.
"cor": Correlation input for the function.
"call": the matched call.
Counsell, A., & Cribbie, R. A. (2015). Equivalence tests for comparing correlation and regression coefficients. The British journal of mathematical and statistical psychology, 68(2), 292–309. https://doi.org/10.1111/bmsp.12045
Anderson, S., & Hauck, W. W. (1983). A new procedure for testing equivalence in comparative bioavailability and other clinical trials. Communications in Statistics-Theory and Methods, 12(23), 2663-2692.
Other compare studies:
boot_compare_cor()
,
boot_compare_smd()
,
compare_smd()