Hypothesis test for a paired-samples proportion difference

Source: R/statpsych3.R

Computes a continuity-corrected McNemar test for equality of population proportions in a paired-samples design. This function requires the frequency counts from a 2 x 2 contingency table for two paired dichotomous measurements. A confidence interval for a difference in population proportions (see ci.prop.ps) is a recommended supplement to the McNemar test.

test.prop.ps(f00, f01, f10, f11)

Arguments

f00

number participants with y = 0 and x = 0

f01

number participants with y = 0 and x = 1

f10

number participants with y = 1 and x = 0

f11

number participants with y = 1 and x = 1

Value

Returns a 1-row matrix. The columns are:

  • Estimate - ML estimate of proportion difference

  • z - z test statistic

  • p - two-sided p-value

References

Snedecor GW, Cochran WG (1989). Statistical Methods, 8th edition. ISU University Pres, Ames, Iowa.

Examples

test.prop.ps(156, 96, 68, 80)
#>  Estimate        z          p
#>      0.07 2.108346 0.03500109

# Should return:
# Estimate        z          p
#     0.07 2.108346 0.03500109