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mokken (version 3.1.2)

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

701

Version

3.1.2

License

GPL (>= 2)

Maintainer

L Andries van der Ark

Last Published

June 18th, 2024

Functions in mokken (3.1.2)

Standard errors for norm statistics

Check of Nonintersection Using Method Pmatrix

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

Check conditional association to indentify local dependence.

check.monotonicity

Check of Monotonicity

check.reliability

Computation of reliability statistics

Check the relative lower bound for scalability coefficients

Check of Invariant Item Ordering

Coping Strategies

Recodes negatively worded items

check.restscore

Check of Nonintersection Using Method Restscore

Plot iio.class objects

plot.restscore.class

Plot restscore.class objects

Scalability coefficents H

Millon Clinical Multiaxial Inventory

Computation of Z-Values

plot.monotonicity.class

Plot monotonicity.class objects

plot.pmatrix.class

Plot pmatrix.class objects

Mokken Scale Analysis

summary.restscore.class

Summarize restscore.class objects

summary.monotonicity.class

Summarize monotonicity.class objects

summary.iio.class

Summarize iio.class objects

summary.pmatrix.class

Summarize pmatrix.class objects

Transitive Reasoning Data

Transitive Reasoning

Two-way imputation

SWMDK Data Subset

Intraclass correlation

Weights for Guttman Errors in two-level test data

Computation of Z-Values for two-level scalability coefficients

SWMD Data Subset

autonomySupport

Autonomy Support Data

Adjective Checklist Data

Automated Item Selection Procedure (AISP) for Mokken Scale Analysis

Two-level scalability coefficents H