item: Create an 'Item' object

In irt: Item Response Theory and Computerized Adaptive Testing Functions

Create an Item object

Description

This function is used for creating Item-class objects.

Usage

item(
  ...,
  model = NULL,
  item_id = NULL,
  parameters = NULL,
  se = NULL,
  content = NULL,
  misc = NULL
)

Arguments

...	The item parameter arguments.
model	The model that item parameters represents. Currently model can be: 1PL, 2PL, 3PL, 4PL, M1PL, M2PL and M3PL, GRM, PCM or GPCM. Ideally, a model should be specified for the construction of an Item-class object.
item_id	Item ID. Default value is NULL.
parameters	A list containing numeric vectors that represent item parameters. Depending on the model these can change.
se	A list object containing standard error of item parameters.
content	Content information for item.
misc	This slot is a list where one can put any information about the item. For example, one can enter the ID's of the enemies of the current item as misc = list(enemies = c("i1", i2)). Or, one can enter Sympson-Hetter exposure control parameter K: misc = list(sympson_hetter_k = .75).

Value

An Item-class class object.

Author(s)

Emre Gonulates

Examples

# Create 2PL item:
item(a = 1.2, b = -0.94)
item(a = 1.2, b = -0.94, model = "2PL")
# Specify scaling constant D:
item(a = 1.2, b = -0.94, D = 1.7)

# Add additional item specifications:
# Add item_id
item(a = 1.2, b = -0.94, item_id = "My-Item-1")
# Add content
item(a = 1.2, b = -0.94, item_id = "My-Item-1", content = "Geometry")
# Add additional parameter
item(a = 1.2, b = -0.94, misc = list(sympson_hetter_k = 1))
# Add any argument to 'misc' field
i1 <- item(a = 1.2, b = -0.94, item_id = "item1", content = "Earth Science",
           misc = list(key = "C", operational = TRUE, type = "MC",
                       enemies = c("i2", "i3")))
# Access fields
i1$misc
i1$misc$key
i1$misc$operational
i1$misc$enemies
i1$a
i1$b
i1$D
i1$parameters
i1$item_id
i1$content


# Rasch Model
item(b = 1.2)
item(b = 1.2, model = "Rasch")

# 1PL model:
item(b = 1.2, model = "1PL")
item(b = 1.2, D = 1)

# 3PL model:
item(a = 0.92, b = 2.7, c = 0.17)
item(a = 0.92, b = 2.7, c = 0.17, model = "3PL")
item(a = 0.92, b = 2.7, c = 0.17, D = 1.7, model = "3PL")

# 4PL model:
item(a = 0.92, b = 2.7, c = 0.17, d = 0.98)
item(a = 0.92, b = 2.7, c = 0.17, d = 0.98, model = "4PL")
item(a = 0.92, b = 2.7, c = 0.17, d = 0.92, D = 1.7, model = "4PL")
item(parameters = list(a = 0.92, b = 2.7, c = 0.17, d = 0.92, D = 1.7),
     model = "4PL")

# Create a GRM model
item(a = 1.9, b = c(-1, 0.82, 1.5), model = "GRM")
item(parameters = list(a = 1.9, b = c(-1, 2), D = 1), model = "GRM")

# Create a GPCM model
item(a = 1.9, b = c(-1.6, -0.09, 1.25), model = "GPCM")
item(parameters = list(a = 1.9, b = c(-1, 2), D = 1), model = "GPCM")

# Create a GPCM2 model (Reparameterized GPCM model)
item(a = 1.9, b = 0.65, d = c(-1.6, -0.09, 1.25), model = "GPCM2")
item(parameters = list(a = 1.9, b = 0.65, d = c(-1.6, -0.09, 1.25), D = 1.7),
     model = "GPCM2")

# Create a PCM model
item(b = c(-0.7, 0.72, 1.9), model = "PCM")
item(parameters = list(b = c(-1, 2)), model = "PCM")

# Add additional arguments to items
i1 <- item(a = 1.2, b = 2)
i1 <- item(i1, item_id = "new_item_id", content = "Algebra")

irt documentation built on Nov. 10, 2022, 5:50 p.m.