powered by
4-parameter logistic curve for item response theory.
fourPL(a = 1, b, c = 0, d = 1, theta)
Probability of item endorsement (or expected value on the item).
Discrimination parameter (slope).
Difficulty (severity) parameter (inflection point).
Guessing parameter (lower asymptote).
Careless errors parameter (upper asymptote).
Person's level on the construct.
Estimates the probability of item endorsement as function of the four-parameter logistic (4PL) curve and the person's level on the construct (theta).
tools:::Rd_expr_doi("10.1177/0146621613475471")
Other IRT: deriv_d_negBinom(), discriminationToFactorLoading(), itemInformation(), reliabilityIRT(), standardErrorIRT(), test_info_4PL()
deriv_d_negBinom()
discriminationToFactorLoading()
itemInformation()
reliabilityIRT()
standardErrorIRT()
test_info_4PL()
fourPL(b = 2, theta = -4:4) #1PL fourPL(b = 2, a = 1.5, theta = -4:4) #2PL fourPL(b = 2, a = 1.5, c = 0.10, theta = -4:4) #3PL fourPL(b = 2, a = 1.5, c = 0.10, d = 0.95, theta = -4:4) #4PL
Run the code above in your browser using DataLab