# v.chi.sq: V for Chi-Square In MOTE: Effect Size and Confidence Interval Calculator

## Description

This function displays V and non-central confidence interval for the specified chi-square statistic.

## Usage

 `1` ```v.chi.sq(x2, n, r, c, a = 0.05) ```

## Arguments

 `x2` chi-square statistic `n` sample size `r` number of rows in the contingency table `c` number of columns in the contingency table `a` significance level

## Details

V is calculated by finding the square root of chi-squared divided by the product of the sample size and the degrees of freedom with the lowest value.

v = sqrt(x2 / (n * dfsmall))

## Value

Provides V with associated confidence intervals and relevant statistics.

 `v` v-statistic `vlow` lower level confidence interval of omega `vhigh` upper level confidence interval of omega `n` sample size `df` degrees of freedom `x2` significance statistic `p` p-value `estimate` the V statistic and confidence interval in APA style for markdown printing `statistic` the X2-statistic in APA style for markdown printing

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```#The following example is derived from the "chisq_data" dataset, included #in the MOTE library. #Individuals were polled about their number of friends (low, medium, high) #and their number of kids (1, 2, 3+) to determine if there was a #relationship between friend groups and number of children, as we #might expect that those with more children may have less time for #friendship maintaining activities. chisq.test(chisq_data\$kids, chisq_data\$friends) v.chi.sq(x2 = 2.0496, n = 60, r = 3, c = 3, a = .05) #Please note, if you see a warning, that implies the lower effect should #be zero, as noted. ```

MOTE documentation built on May 2, 2019, 5:51 a.m.