kim (version 0.6.1)

compare_independent_rs: Compare independent correlations

Description

Compares whether two correlations from two independent samples are significantly different each other. See Field et al. (2012, ISBN: 978-1-4462-0045-2).

Usage

compare_independent_rs(
  r1 = NULL,
  n1 = NULL,
  r2 = NULL,
  n2 = NULL,
  one_tailed = FALSE,
  round_p = 3,
  round_z_diff = 2,
  round_r = 2,
  print_summary = TRUE,
  output_type = NULL
)

Value

the output will be the results of a test comparing two independent correlations.

Arguments

r1

correlation in the first sample

n1

size of the first sample

r2

correlation in the second sample

n2

size of the first sample

one_tailed

logical. Should the p value based on a one-tailed t-test? (default = FALSE)

round_p

(only for displaying purposes) number of decimal places to which to round the p-value (default = 3)

round_z_diff

(only for displaying purposes) number of decimal places to which to round the z-score (default = 2)

round_r

(only for displaying purposes) number of decimal places to which to round correlation coefficients (default = 2)

print_summary

logical. Should the summary be printed? (default = TRUE)

output_type

type of the output. If output_type = "z", the function's output will be the z-score of the difference between the two correlations. If output_type = "p", the function's output will be the p-value associated with the z-score of the difference between the two correlations. By default, output_type = NULL, and the function will not return any value other than the printed summary.

Examples

compare_independent_rs(r1 = .1, n1 = 100, r2 = .2, n2 = 200)
compare_independent_rs(
r1 = .1, n1 = 100, r2 = .2, n2 = 200, one_tailed = TRUE)
compare_independent_rs(r1 = .506, n1 = 52, r2 = .381, n2 = 51)