person.fit.pattern | R Documentation |
Person fit based on response pattern
person.fit.pattern(
do = NULL,
resp = NULL,
items = NULL,
item.params = matrix(),
param.type = c("pcm", "log.item.score", "multiplicative", "xsi"),
num.montecarlo = 0,
verbose = T,
extra.verbose = F
)
do |
a DIGRAM object |
resp |
a matrix of responses (if no DIGRAM object is supplied) |
items |
a vector of items to use |
item.params |
a matrix of item parameters. Items in rows, thresholds in columns |
param.type |
Type of item parameters given. One of pcm (RUMM2030), log.item.score (?), multiplicative (DIGRAM or RDigram, xsi (Conquest or TAM)) |
num.montecarlo |
the number of iterations if the calculation of alternative patterns should be done using a montecarlo solution. 0 to do all patterns. |
verbose |
set to TRUE if you want to follow the progression |
extra.verbose |
Print warnings in PDF and HTML-output |
Returns a list of results for each respondent, consisting of response pattern probability and the p-value of getting this pattern or a pattern of lower probability.
Jeppe Bundsgaard & Svend Kreiner
Jeppe Bundsgaard & Svend Kreiner (2019). Undersøgelse af De Nationale Tests måleegenskaber. 2nd Ed. Copenhagen: DPU, Aarhus University.
data(DHP)
item.params<-matrix(c(1.000,2.283,1.150,0.509,
1.000,1.117,2.630,6.082,
1.000,1.380,4.105,2.058,
1.000,0.276,0.127,0.070,
1.000,2.141,0.330,0.472,
1.000,10.304,2.963,4.784),byrow=T,nrow=6)
person.fit.pattern(do=DHP, item.params=item.params,param.type="multiplicative")
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