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semTools (version 0.2-0)

miPoolChi: Function to pool chi-square statistics from the result from multiple imputation

Description

The function combines likelihood ratio chi-square statistics from an analysis of multiply imputed data sets using the method proposed by Li, Meng, Raghunathan, and Rubin (1991, p. 74).

Usage

miPoolChi(chis, df)

Arguments

chis
A vector of chi-square statistics
df
Degree of freedom that the chi-square statistics are based on

Value

  • The resulting value from the pooled chi-square is F-statistic. If the denominator degree of freedom is large, the F value multiplied by the numerator degree of freedom will approximate the chi-square statistics.

Details

The chi-square statistics are pooled by the procedure proposed by Li, Meng, Raghunathan, and Rubin (1991; Equations 2.1, 2.2, 2.16, and 2.17).

References

Li, K. H., Meng, X. L., Raghunathan, T. E., & Rubin, D. B. (1991). Significance levels from repeated p-values with multiply-imputed data. Statistica Sinica, 1, 65-92.

Examples

Run this code
miPoolChi(c(89.864, 81.116, 71.500, 49.022, 61.986, 64.422, 55.256, 57.890, 79.416, 63.944), 2)

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