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Hypothesis test of equal proportions in a between-subjects design

Source: R/statpsych3.R
test.prop.bs.Rd

Computes a Pearson chi-square test for equal population proportions for a dichotomous response variable in a one-factor between-subjects design.

For more details, see Section 2.13 of Bonett (2021, Volume 3)

Usage

test.prop.bs(f, n)

Arguments

f

vector of frequency counts of participants who have the attribute

n

vector of sample sizes

Value

Returns a 1-row matrix. The columns are:

  • Chi-square - chi-square test statistic

  • df - degrees of freedom

  • p - p-value

References

Fleiss JL, Paik MC (2003). Statistical Methods for Rates and Proportions, 3rd edition. Wiley.

Bonett DG (2021). Statistical Methods for Psychologists https://dgbonett.sites.ucsc.edu/.

Examples

f <- c(111, 118, 132)
n <- c(200, 200, 200)
test.prop.bs (f, n)
#>  Chi-square df       p
#>      4.7706  2 0.09206

# Should return:
# Chi-square df       p
#     4.7706  2 0.09206