Mokken scale analysis software

Violations of local stochastic independence exaggerate. It consists of an item selection algorithm to partition a set of items into mokken scales and several methods to check the assumptions of two nonparametric item r. Msp implements the mokken scale procedure defined by hemker, sijtsma and molenaar 1995. This procedure construct sub scales based on loevinger h coefficients computed by loevh q.

I dont have access to the preprint at the time im writing these notes, but i guess it is sort of a followup on his earlier paper, mokken scale analysis in r jss 2007, 2011. Psychometric analysis of the generalized anxiety disorder. However, the values of scalability of the subscales are very large, raising the possibility that these are artificially high and this may result from violations of local stochastic independence between items. Mokken scale analysis in r journal of statistical software. The analyses by means of msp are based on the multicategory extension of mokken s theory. In addition, the items must have a hierarchical property since the. A nonparametric mokken scale analysis and program is described. Mokken rj 1971 a theory and procedure of scale analysis.

Some scaling methods and estimation procedures in the latent class model. The package can do almost everything that msp can do, plus it includes the new developments in the last decade. I compare the mokken model with both classical test theory reliability or factor analysis and parametric irt models especially with the. It consists of an item selection algorithm to partition a set of items into mokken scales and several methods to check the assumptions of two nonparametric item. An automated item selection procedure in mokken scale analysis partitions a set of items into one or more mokken scales, if the data allow. Oct 11, 2018 one branch of the irt method is mokken scale analysis msa or mokken scaling, which is based on the principles of irt and a scaling method proven to be valuable for assessing the psychometric properties of questionnaire data 4, 12,14. Dos program with windows shell apparently fails under windows 7. An r package for mokken scale analysis computer software. Factor analysis and mokken scaling of the organizational. Pdf an instructional module on mokken scale analysis stefanie. Three methods may be used for the investigation of invariant item ordering. Evaluating the quality of analytic ratings with mokken scaling. To evaluate whether the eight items formed a onedimensional homogenous scale we performed mokken scale analysis for polytomous items 34, using the stata 12. It consists of an item selection algorithm to partition a set of items into mokken scales and several.

Mokken scale analysis of mental health and wellbeing questionnaire item responses. Mokken scale analysis was applied to 14 items of the scale at each time point. It consists of an item selection algorithm to partition a. Mokken scale analysis quantitative applications in the social sciences van schuur, wijbrandt h on. Womens mental health were assessed 6 times using the personal disturbance scale. Not so userfriendly because typical users of mokken scale analysis do not use r. Exploratory mokken scale analysis as a dimensionality assessment. Mokken scaling software is available within the public domain statistical software r programming language and also. Computes four different coefficients of reliability and the biserial correlations. This article introduces a model of ordinal unidimensional measurement known as mokken scale analysis. First, an extension of mokken s nonparametric item response models from dichotomous items to items with two or more ordered answer categories is proposed. Three procedures of scaling a search procedure, evaluation of the whole set of items as a scale, and extension of an existing scale provided a coefficient of scalability for all the items together that satisfy the criteria of the mokken model. Both techniques assume the existence of an underlying latent unobservable attribute, which is represented by a set of items related to the latent attribute. Mokken scale analysis of mental health and wellbeing.

In essence, a mokken scale is a nonparametric, probabilistic version of guttman scale. We would like to show you a description here but the site wont allow us. Mokken scaling analysis of revised clinical interview. A common hierarchical scale with 10 items was identified. This method is named after the political scientist rob mokken who suggested it in 1971 mokken scales have been used in psychology, education, political science, public opinion, medicine and nursing. University of groningen mokken scale analysis van schuur. Jun 11, 2012 mokken scale analysis of mental health and wellbeing questionnaire item responses. Latent class analysis with combination of binary, ordinal, and continuous items estimated class membership appended to data editor. As we mentioned in the section on assessment of iio for the ghq analysis, this important aspect of mokken analysis is currently only possible in the functionality of the r software implementation of mokken scaling procedures.

An update for scaling practitioners author links open overlay panel klaas sijtsma a rob r. Jun 03, 2014 mokken scaling of the attitudes to ageing questionnaire with items ordered according to their mean score n 802. Having software available increases the chance of publication. Evaluating the quality of analytic ratings with mokken scaling stefanie a. Mokken scale analysis in r, journal of statistical software, foundation for open access statistics, vol. The effect of missing data imputation on mokken scale analysis. A program for mokken scale analysis for polytomous items.

Results show that the items of the scale are sufficiently unidimensional in the general population for the cisr responses to be scalable according to broad mokken. Stata module to perform the mokken scale procedure, statistical software components s439402, boston college department of economics, revised 08 may 20. Investigating psychometric properties and dimensional. Mokken scale analysis msa is a scaling procedure for both dichotomous and polytomous items. Hypothesis testing with respect to these scalability coefficients has not been fully developed. Both guttman and mokken scaling can be used to assess whether a number of items measure the same underlying concept. Typically, the software for performing mokken scaling analysis also provides graphical displays as well as numerical summaries to assist in this. You also should do a thorough job of missing data analysis and descriptive statistics, including correlations. The mokken scale is a psychometric method of data reduction.

Second, a computer program to analyze multicategory item scores is presented. Wind1 abstract greatly influenced by the work of rasch 19601980, mokken 1971 presented a nonparametric scaling procedure that is based on the theory of invariant measurement, but draws upon less strict requirements related to the scale of measurement. In contrast, the mokken package is software for msa frequently updated, and. Scale 1 vitality this scale contains eight items table 2 related to physical and psychological aspects of personfocussed ageing. Spssx procedure and standalone programs for the mokken scale. For a set of items, scalability coefficients have been defined for each pair of items, for each individual item, and for the entire scale. This study aims to investigate double monotonicity of revised clinical interview schedule cisr psychiatric status rating scales data from 2007 adult psychiatric morbidity survey apms within the framework of mokken models. Jun 11, 2012 as we mentioned in the section on assessment of iio for the ghq analysis, this important aspect of mokken analysis is currently only possible in the functionality of the r software implementation of mokken scaling procedures. Stata module to perform the mokken scale procedure. A summary of iio violations for all wemwbs items produced in r from mokken is displayed on table table10. Previous work using mokken scaling analysis with the sf36 has found subscales appearing to show excellent mokken scaling properties. Mokken scaling is based on principles of item response theory irt that originated in the guttman scale.

Pdf mokken scale analysis msa is a scaling procedure for both dichotomous and polytomous items. Compute three coefficients of scalability and check monotone of homogeneity. A nonparametric item response theory model, the mokken scale analysis, and program are described. To analyse selected items from the chinese mandarin. A mokken scale is a unidimensional scale that consists of hierarchicallyordered items that measure the same underlying, latent concept. Using the r package mokken, you can do mokken scale analysis in r. The scale can be used to measure changes in womens mental health over time. Minimum sample size requirements for mokken scale analysis. The results depend of a threshold c fixed by the user. Hendrik straat, and don van ravenswaaij for testing the software. Scalability coefficients play an important role in mokken scale analysis. Spssx procedure and standalone programs for the mokken.

Mokken scale analysis for dichotomous items using marginal. Item ordering of personal disturbance scale dssisad in a. That is, a single mokken scale can be multidimensional, and two. Two algorithms are available that pursue the same goal of. Mokken scale analysis mokken scale analysis is a hierarchical scaling method and is similar to guttman scaling. Feb 12, 20 in general i find that mokken scaling is a good approach for many practical scale analyses, but i recommend that you read at least a few articles on it. Description usage arguments details value authors references see also examples. It consists of an item selection algorithm to partition a set of items into mokken scales and several methods to check the assumptions of two nonparametric item response theory models. Mokken scale analysis mokken scale analysis eeecon. The mokken scaling analysis procedure for windows version 5.

685 1440 228 1143 379 192 338 1480 69 972 1442 663 1333 884 1435 966 315 34 583 1411 497 1243 303 309 1413 748 71 984 67 396 1168 1244 895 896