Interpret a statistic using Colquitt et al. (2019) norms

Classifies one or more Psa, Csv, HTC, or HTD values using the empirical percentile bands from Colquitt et al. (2019). These norms were derived from scale-level averages and from naive judges representative of substantive study populations. They should therefore be treated as contextual norms, not pass/fail rules.

When judge_type = "expert", the Colquitt classification is deliberately not applied because the authors caution against using their norms for expert judges.

Usage

interpret_colquitt(
  value,
  statistic = c("psa", "csv", "htc", "htd"),
  orbiting_r = NULL,
  judge_type = c("naive", "expert")
)

Arguments

value

Numeric value(s) to interpret.

statistic

One of "psa", "csv", "htc", or "htd".

orbiting_r

Optional scalar, or a vector matching value, containing the average focal-orbiting correlation. NULL uses the overall norms.

judge_type

Either "naive" or "expert".

Value

A data.frame with the value, benchmark set, interpretation, and an applicability flag.

References

Colquitt, J. A., Sabey, T. B., Rodell, J. B., & Hill, E. T. (2019). Journal of Applied Psychology, 104(10), 1243-1265. doi:10.1037/apl0000406

Examples

interpret_colquitt(.84, "psa")
#>   statistic value benchmark_set                  benchmark_label interpretation
#> 1       psa  0.84       overall Overall (not correlation-normed)         Strong
#>   applicable
#> 1       TRUE
#>                                                                           note
#> 1 Empirical percentile norm from scale-level averages; not a universal cutoff.
interpret_colquitt(.70, "csv", orbiting_r = .40)
#>   statistic value benchmark_set
#> 1       csv   0.7      moderate
#>                                      benchmark_label interpretation applicable
#> 1 More moderate focal-orbiting correlation (.35-.50)         Strong       TRUE
#>                                                                           note
#> 1 Empirical percentile norm from scale-level averages; not a universal cutoff.