equat1pl | R Documentation |
Function does the 1pl linking according to equating.rasch
from the sirt
package.
Moreover, optional elimination of items with linking DIF is allowed and linking error may be estimated
via the jackknife method if testlets are specified.
equat1pl(results, prmNorm, item = NULL, domain = NULL, testlet = NULL, value = NULL,
excludeLinkingDif = TRUE, difBound = 1, iterativ = FALSE,
method = c("Mean.Mean", "Haebara", "Stocking.Lord", "robust", "Haberman"), itemF = NULL,
domainF = NULL, testletF = NULL, valueF = NULL, estimation=c("OLS", "BSQ", "HUB", "MED", "LTS", "L1", "L0"),
b_trim=Inf, lts_prop=.5)
results |
The object returned by |
prmNorm |
Data frame with normed anchor item parameters. Data frame must have at least two
columns: items and item difficulties. Use the further arguments |
item |
Optional: Give the number or name of the item identifier column in prmNorm. |
domain |
Optional: Give the number or name of the domain name in prmNorm. Only necessary if
item identifiers are not unique in |
testlet |
Optional: Give the number or name of the testlet name in prmNorm. Only necessary if linking errors should be estimated via the jackknife method. |
value |
Optional: Give the number or name of the parameter column in |
excludeLinkingDif |
Logical. Should items with linking DIF excluded? |
difBound |
Defines the boundary. Items with absolute linking DIF greater than the boundary will be removed from the linking procedure. |
iterativ |
Logical. Should the exclusion of linking DIF items executed in an iterative loop?
(i.e. start with all items and compute linking constant, than remove the item with
the most pronounced DIF and compute linking constant, and so on, until no item is
left with |DIF|> |
method |
Linking method. If |
itemF |
Optional: Give the number or name of the item column in results. |
domainF |
Optional: Give the number or name of the domain column in results. |
testletF |
Optional: Give the number or name of the testlet column in teh results object. Only necessary if linking errors should be estimated via the jackknife method. |
valueF |
Optional: Give the number or name of the parameter column in results. |
estimation |
Applies only if |
b_trim |
Applies only if |
lts_prop |
Applies only if |
A list with equating information intended for further transformation by the transformToBista
function.
# see example 5, 6, and 6a in the help file of defineModel()
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