standardErrorIRT: Standard Error of Measurement (IRT).

In petersenlab: A Collection of R Functions by the Petersen Lab

Standard Error of Measurement (IRT).

Description

Estimate the standard error of measurement in item response theory.

Usage

standardErrorIRT(information)

Arguments

information

Test information.

Details

Estimate the standard error of measurement in item response theory using the test information (i.e., the sum of all items' information).

Value

Standard error of measurement for that amount of test information.

See Also

\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0146621613475471")}

Other IRT: deriv_d_negBinom(), discriminationToFactorLoading(), fourPL(), itemInformation(), reliabilityIRT(), test_info_4PL()

Examples

# Calculate information for 4 items
item1 <- itemInformation(b = -2, a = 0.6, theta = -4:4)
item2 <- itemInformation(b = -1, a = 1.2, theta = -4:4)
item3 <- itemInformation(b = 1, a = 1.5, theta = -4:4)
item4 <- itemInformation(b = 2, a = 2, theta = -4:4)

items <- data.frame(item1, item2, item3, item4)

# Calculate test information
items$testInformation <- rowSums(items)

# Calculate standard error of measurement
standardErrorIRT(items$testInformation)

petersenlab documentation built on April 4, 2025, 12:22 a.m.