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

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 x 5 #> var rel stab13 stab12 stab23 #> <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