Compare SDT Summary Metrics Between Two Conditions — compare_sdt

Performs a large-sample z-test comparing d' (or criterion or ln beta) between two independent conditions using summary counts only.

Usage

compare_sdt_summary(
  hits_a,
  fas_a,
  misses_a,
  cr_a,
  hits_b,
  fas_b,
  misses_b,
  cr_b,
  metric = c("dprime", "c", "ln_beta"),
  method = c("miller", "gourevitch", "bootstrap"),
  correction = c("loglinear", "half", "none"),
  nboot = 1000,
  seed = NULL
)

Arguments

hits_a: Hits in condition A.
fas_a: False alarms in condition A.
misses_a: Misses in condition A.
cr_a: Correct rejections in condition A.
hits_b: Hits in condition B.
fas_b: False alarms in condition B.
misses_b: Misses in condition B.
cr_b: Correct rejections in condition B.
metric: Which metric to compare: "dprime", "c", or "ln_beta".
method: Variance method: "miller", "gourevitch", or "bootstrap".
correction: Correction for extreme rates ("loglinear", "half", or "none").
nboot: Number of bootstrap samples when method = "bootstrap".
seed: Optional random seed for bootstrap variance.

Value

A list with estimates, standard error, z, and p-value.

Examples

cmp <- compare_sdt_summary(hits_a = 70, fas_a = 20, misses_a = 30, cr_a = 80,
                           hits_b = 60, fas_b = 35, misses_b = 40, cr_b = 65,
                           metric = "dprime")
cmp$z
#> [1] 2.71054
cmp$p_value
#> [1] 0.006717369