classification-class: Class '"classification"'

In classify: Classification Accuracy and Consistency under IRT models.

Description

S4 object with classification statistics.

Slots

acc:

Classification accuracy summary statistic across replications.

fp:

False positive summary statistic across replications.

fn:

False negative summary statistic across replications.

cand.acc:

Candidate level accuracy across replications.

cand.fn:

Candidate level false negative across replications.

cand.fp:

Candidate level false positive across replications.

consist:

Classification consistency summary statistic across replications.

cand.consist:

Candidate level classification consistency across replications.

Xij:

Summary matrix of classification probability into all grade combinations.

kappa:

Kappa value for classification accuracy across replications.

item.scores:

Raw item scores used.

bnds:

Grade bounaries used.

tru.grades:

Candidate grades.

tru.scores:

Candidate true scores.

acc.by.grade:

Accuracy by grade.

fp.by.grade:

False positive by grade.

fn.by.grade:

False negative by grade.

consist.by.grade:

Consistency by grade.

labels:

Grade labels.

m.acc:

Mean of Classification accuracy summary statistic across replications.

m.consist:

Mean of Candidate level classification consistency across replications.

m.kappa:

Mean of Kappa value for classification accuracy across replications.

m.fp:

Mean of Candidate level false positive across replications.

m.fn:

Mean of Candidate level false negative across replications.

sd.acc:

SD of Classification accuracy summary statistic across replications.

sd.consist:

SD of Candidate level classification consistency across replications.

sd.kappa:

SD of Kappa value for classification accuracy across replications.

sd.fp:

SD of Candidate level false positive across replications.

sd.fn:

SD of Candidate level false negative across replications.

m.acc.by.grade:

Mean accuracy by grade.

m.fp.by.grade:

Mean false positive by grade.

m.fn.by.grade:

Mean false negative by grade.

m.consist.by.grade:

Mean consistency by grade.

max:

Maximum test score.

Methods

plot

Plots.

across.reps

Summarise stats across replications.

summary

Summary statistics.

classify documentation built on May 29, 2017, 7:49 p.m.