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mokken (version 3.0.3)

Conducts Mokken Scale Analysis

Description

Contains functions for performing Mokken scale analysis on test and questionnaire data. It includes an automated item selection algorithm, and various checks of model assumptions.

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Version

Install

install.packages('mokken')

Monthly Downloads

660

Version

3.0.3

License

GPL (>= 2)

Maintainer

L Andries van der Ark

Last Published

September 15th, 2020

Functions in mokken (3.0.3)

Adjective Checklist Data

Weights for Guttman Errors in two-level test data

Intraclass correlation

Two-level scalability coefficents H

Automated Item Selection Procedure (AISP) for Mokken Scale Analysis

Coping Strategies

autonomySupport

Autonomy Support Data

SWMD Data Subset

Computation of Z-Values for two-level scalability coefficients

Check the relative lower bound for scalability coefficients

Check conditional association to indentify local dependence.

Check the number of Guttman errors (Gplus) and the number of infrequent scores (Oplus) for each respondent

Check of Invariant Item Ordering

plot.monotonicity.class

Plot monotonicity.class objects

check.restscore

Check of Nonintersection Using Method Restscore

check.reliability

Computation of reliability statistics

Check of Nonintersection Using Method Pmatrix

Millon Clinical Multiaxial Inventory

Computation of Z-Values

plot.pmatrix.class

Plot pmatrix.class objects

summary.restscore.class

Summarize restscore.class objects

summary.pmatrix.class

Summarize pmatrix.class objects

Mokken Scale Analysis

Scalability coefficents H

Plot iio.class objects

Transitive Reasoning

Two-way imputation

summary.monotonicity.class

Summarize monotonicity.class objects

summary.iio.class

Summarize iio.class objects

check.monotonicity

Check of Monotonicity

Standard errors for norm statistics

plot.restscore.class

Plot restscore.class objects

Recodes negatively worded items