Deese-Roediger-McDermott (DRM) paradigm

This is a classical false memory test. Here calculates the effect size of false memory.

Usage

drm(data, .by = NULL, .input = NULL, .extra = NULL)

Arguments

data

Raw data of class data.frame.

.by

The column name(s) in data used to be grouped by. If set to NULL (default), all data will be treated as from one subject and there will be no grouping columns in the value returned.

.input, .extra

Each is a list() containing all the input variable names and special values for certain variables. See more in the details section.

Value

An object with the same class as data contains following values:

tm_dprime

Sensitivity (d') of true memory (against "foil" stimuli).

tm_bias

Bias of true memory (against "foil" stimuli).

fm_dprime

Sensitivity (d') of false memory.

fm_bias

Bias of false memory.

memory_score

Memory score (tm_dprime - fm_dprime).