drm: Deese-Roediger-McDermott (DRM) paradigm

In psychelzh/preproc.iquizoo: Utility Functions for Data Processing of Iquizoo Games

Deese-Roediger-McDermott (DRM) paradigm

Description

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).

psychelzh/preproc.iquizoo documentation built on Oct. 20, 2024, 6:27 p.m.