plotDIFLogistic: Function for characteristic curve of 2PL logistic DIF model

In ShinyItemAnalysis: Test and Item Analysis via Shiny

Function for characteristic curve of 2PL logistic DIF model

Description

Plots characteristic curve of 2PL logistic DIF model

Usage

plotDIFLogistic(x, item = 1, item.name, group.names = c("Reference",
  "Focal"), Data, group, match, draw.empirical = TRUE)

Arguments

x	an object of "Logistic" class. See Details.
item	numeric: number of item to be plotted
item.name	character: the name of item to be used as title of plot.
group.names	character: names of reference and focal group.
Data	numeric: the data matrix. See Details.
group	numeric: the vector of group membership. See Details.
match	character or numeric: specifies observed score used for matching. Can be either "score", or numeric vector of the same length as number of observations in Data. See Details.
draw.empirical	logical: whether empirical probabilities should be calculated and plotted. Default value is TRUE.

Details

This function plots characteristic curves of 2PL logistic DIF model fitted by difLogistic() function from difR package using ggplot2.

Data and group are used to calculate empirical probabilities for reference and focal group. match should be the same as in x$match. In case that an observed score is used as a matching variable instead of the total score or the standardized score, match needs to be a numeric vector of the same the same length as the number of observations in Data.

Author(s)

Adela Hladka
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

See Also

difR::difLogistic(), ggplot2::ggplot()

Examples

# loading libraries
library(difR)

# loading data based on GMAT
data(GMAT, package = "difNLR")
Data <- GMAT[, 1:20]
group <- GMAT[, 21]

# DIF detection using difLogistic() function
x <- difLogistic(Data, group, focal.name = 1)
# Characteristic curve by logistic regression model
plotDIFLogistic(x, item = 1, Data = Data, group = group)

# Using name of column as item identifier
plotDIFLogistic(x, item = "Item1", Data = Data, group = group)

# Renaming reference and focal group
plotDIFLogistic(x, item = 1, group.names = c("Group 1", "Group 2"), Data = Data, group = group)

# Not plotting empirical probabilities
plotDIFLogistic(x, item = 1, draw.empirical = FALSE)

ShinyItemAnalysis documentation built on May 31, 2023, 7:08 p.m.