Description Usage Arguments Details Value Examples

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

1 |

`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 |

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))

Learn more on our example page.

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 |

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.
``` |

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