Estimate Heise stability and reliability coefficients

This function uses three waves of data to estimate stability and reliability coefficients as described in Heise (1969).

Usage

heise(data, ..., waves = NULL)

Arguments

data: A panel_data frame.
...: unquoted variable names that are passed to dplyr::select()
waves: Which 3 waves should be used? If NULL (the default), the first, middle, and last waves are used.

Value

A tibble with reliability (rel), waves 1-3 stability (stab13), waves 1-2 stability (stab12), and waves 2-3 stability (stab23) and the variable these values refer to (var).

References

Heise, D. R. (1969). Separating reliability and stability in test-retest correlation. American Sociological Review, 34, 93–101. https://doi.org/10.2307/2092790

Examples

data("WageData")
wages <- panel_data(WageData, id = id, wave = t)
heise(wages, wks, lwage) # will use waves 1, 4, and 7 by default
#> Using waves 1, 4, and 7
#> # A tibble: 2 × 5
#>   var   rel[,1] stab13[,1] stab12[,1] stab23[,1]
#>   <chr>   <dbl>      <dbl>      <dbl>      <dbl>
#> 1 wks     0.417      0.374      0.497      0.752
#> 2 lwage   0.922      0.871      0.918      0.949