test.spear: Hypothesis test for a Spearman correlation

In statpsych: Statistical Methods for Psychologists

Hypothesis test for a Spearman correlation

Description

Computes a t test for a test of the null hypothesis that a population Spearman correlation is equal to 0, or a z test using a Fisher transformation for a test of the null hypothesis that a Spearman correlation is equal to some specified nonzero value. The hypothesis testing results should be accompanied with a confidence interval for the population Spearman correlation value (see ci.spear).

Usage

test.spear(cor, h, n)

Arguments

cor	estimated correlation
h	null hypothesis value of correlation
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimate of correlation

• t or z - t test statistic (for h = 0) or z test statistic (for nonzero h)

• p - two-sided p-value

Examples

test.spear(.471, .2, 100)

# Should return:
# Estimate       z       p
#     0.471 3.0096 0.00262


test.spear(.341, 0, 100)

# Should return:
#  Estimate     t df       p
#     0.341 3.591 98 0.00052

statpsych documentation built on Jan. 13, 2026, 1:07 a.m.