test.spear2 {statpsych}

Hypothesis test for a 2-group Spearman correlation difference

Description

Computes a z test for a difference of population Spearman correlations in a 2-group design. The test statistic uses a Bonett-Wright standard error for each Spearman correlation. The hypothesis testing results should be accompanied with a confidence interval for a difference in population Spearman correlation values.

Usage

test.spear2(cor1, cor2, n1, n2)

Arguments

cor1

estimated Spearman correlation for group 1

cor2

estimated Spearman correlation for group 2

n1

sample size for group 1

n2

sample size for group 2

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimate of correlation difference

• z - z test statistic

• p - two-sided p-value

References

Bonett DG, Wright TA (2000). “Sample size requirements for estimating Pearson, Kendall and Spearman correlations.” Psychometrika, 65(1), 23–28. ISSN 0033-3123, doi:10.1007/BF02294183.

See Also

ci.spear2

Examples

test.spear2(.684, .437, 100, 125)

# Should return:
# Estimate        z          p
#    0.247 2.498645 0.01246691