Mokken scales are defined by means of scalability coefficients mokken, 1971, pp. Gllam generalized linear and latent mixed models provided by jeanbenoit hardouin university of nantes, france delta. A nonparametric item response theory model, the mokken scale analysis, and program are described. I had a look at the mi estimate commands and msp for mokken scale procedure unfortunately is not one of. Stata module to impute binary data by a mokken scale jeanbenoit hardouin imputerasch. Three procedures of scaling a search procedure, evaluation of the whole set of items as a scale, and extension of an existing scale provided.
This procedure construct subscales based on loevinger h coefficients computed by loevh. Mokken scale analysis uses an automated bottomup stepwise item selection procedure that suffers from two problems. I would like to examine whether these traits form a scale or not. All seems to work ok, except i dont get scalability coefficients for each generated scale i. Between the guttman scale and parametric item response theory w ijbrandt h. Mokken scale analysis, reliability, and concurrent validity in depressed cardiac patients tijdschrift. Dear stata user i have a dataset with missing values and used stata s mi command to impute them. Contains functions for performing mokken scale analysis on test and questionnaire data e. Items form a hierarchical scale when the ordering of the items according to their popularity or mean score is the same across different values of the latent.
The stata journal non parametric item response theory. Msp5 for windows for use on personal computers is no longer compatible with current versions of microsoft windows. A summary of iio violations for all wemwbs items produced in r from mokken is displayed on table table10. The remainder of the paper is organized as follows. The aim of this paper is to introduce the basic principles of mokken scale analysis msa as a method for the analysis of questionnaire data and to empirically apply msa to a realdata example. A program for mokken scale analysis for polytomous items version 5. The stochastic cumulative scaling model offered by this approach is ideally suited when the intention is to score an underlying latent trait by simple addition of the item response values. Nonparametric item response theory using stata jeanbenoit. Gllam generalized linear and latent mixed models provided by jeanbenoit hardouin university of.
We construct a matrix or table that shows the responses of all the respondents on all of the items. The mokken scale is a psychometric method of data reduction. Three significant factors, where eigenvalues exceeded the monte carlo simulated values in parallel analysis, showed 10 of the items loading significantly on three subscales, and one item cross loading. Spssx procedure and standalone programs for the mokken. Cognitive therapy and research uitgave 12017 auteurs. This paper describes mokken scale analysis as a method for assessing the unidimensionality of a set of items. As a nonparametric stochastic version of guttman scale analysis. Molenaarmokken scale analysis for polychotomous items. The results depend of a threshold c fixed by the user. Jun 11, 2012 mokken scaling techniques are a useful tool for researchers who wish to construct unidimensional tests or use questionnaires that comprise multiple binary or polytomous items. On april 23, 2014, statalist moved from an email list to a forum, based at.
Mokken scaling software is available within the public domain. Mokken scaling can also be applied as a secondary analysis approach to scrutinize the appropriateness and performance of more well established parametric item response theory irt methods such as the rasch family of models. Scaling and dimensional analysis william jacoby michigan state university the terms scaling and dimensional analysis refer to a wide variety of research strategies and procedures. Apr 26, 2010 we used factor analysis, with parallel analysis to determine the significant eigenvalues, to examine the structure of the sipso and mokken analysis to determine if the sipso was a valid ordinal scale 1821. Both factor analysis and mokken scaling failed to support the original twofactor structure of the scale. 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. Section 2 discusses nonparametric irt models and several methods to check model assumptions. Using mokken scale analysis to develop unidimensional. In this oneday workshop held over 2 consecutive halfdays may 27th 28th 2008, the instructor dr jon heron presented a guided trek through the sharpest and most effective means of preparing your data. A likert scale, on the other hand, is composed of a series of four or more likerttype items that are combined into a single composite scorevariable during the data analysis process. Msp output does not show scalability coefficient statalist. It consists of an item selection algorithm to partition a set of items into mokken scales and several.
Psychometric analysis using stata the psychometrics centre. Measure of activity performance of the hand maphand. Stata module to perform the mokken scale procedure. Hello everybody, i have a question regarding the graph for a likert scale variable the likert scale has 5 categories. In addition, the items must have a hierarchical property since the. Mokken scale analysis in r journal of statistical software. I had a look at the mi estimate commands and msp for mokken scale procedure unfortunately is not one of them. Mokken scale analysis msa is a scaling procedure for both dichotomous and polytomous items. We used factor analysis, with parallel analysis to determine the significant eigenvalues, to examine the structure of the sipso and mokken analysis to determine if the sipso was a valid ordinal. Nevertheless, measuring psychological attributes such as perceptions of a phenomenon among individuals may be. 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. Mokken scale analysis and confirmatory factor analysis of the. Using mokken scale analysis to develop unidimensional scales.
Is mokken scaling procedure the right approach for this and if so, what does the actual output tell me. A mokken scale is a unidimensional scale that consists of hierarchicallyordered items that measure the same underlying, latent concept. Software availability and commands used to specify. I have tried to do a mokken scale analysis with msp in stata. 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, statistical software components s439402, boston college. Both techniques assume the existence of an underlying latent unobservable attribute, which. First, when selected during the procedure items satisfy the scaling. It produces results similar to alpha, item a polytomuous version of mokken due to molenaar is under construction, but it doesnot have high priority at this moment. As a nonparametric stochastic version of guttman scale analysis, the mokken model provides a useful starting point in scale construction since it does not impose severe restrictions on the functional form of the item trace lines. Although these programs require the use of a commandline interface to conduct analyses, the functions only require a basic understanding of r and stata. The common element among them is that they all seek to provide quantitative andor geometric representations of the internal structure in a set of data. A program for the mokken 1971 scale analysis based on a nonparametric item response model.
Mokken scale analysis mokken scale analysis is a hierarchical scaling method and is similar to guttman scaling. This is often the statistical tool of choice for beginners and also power users alike because this is a very easy to learn software which is also powerful. Mokken scaling software is available within the public domain statistical software r programming language and also within the data analysis and statistical software stata. Stata module to compute the delta index of scale discrimination. Stata, items traces, mokken scales, item response theory, loevinger. This procedure construct sub scales based on loevinger h coefficients computed by loevh q. These irms are already described for the stata software hardouin 2007. Mokken scale analysis can be conducted using the standalone software package msp5. Msp implements the mokken scale procedure defined by hemker, sijtsma and molenaar 1995. Investigating psychometric properties and dimensional. Mokken scale analysis of mental health and wellbeing questionnaire item responses. It is a step by step guide from scratch to actually.
Currently available software for msa are a commercial package called msp5 for windows. Jun 11, 2012 an illustration of ordinal item analysis confirmed that all 14 positively worded items of the warwickedinburgh mental wellbeing scale wemwbs met criteria for the monotone homogeneity model but four items violated double monotonicity with respect to a single underlying dimension. Mokken calls this model the monotonely homogeneous model, but it is generally referred to as the mokken model. Jan 31, 20 mokken scale analysis uses an automated bottomup stepwise item selection procedure that suffers from two problems. 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. Developed in the norway, the measure of activity performance of the hand maphand assesses 18 activities performed using the hands. It consists of an item selection algorithm to partition a set of items into mokken. Random or predictable adoption patterns of chronic care.
Mokken scale analysis for dichotomous items using marginal models. Second, the procedure is approximate and thus may not produce the optimal item partitioning. In this oneday workshop held over 2 consecutive halfdays may 27th 28th 2008, the instructor dr jon heron presented a guided trek through the sharpest and most effective means of preparing your data for psychometric analysis, whether it be in mplus, stata, r or any other statistical package. The health of the nation outcome scales isare argued to consist of 12 clinician rated scales that measure problem severity for health and social functioning variables using a 0 to 4 point scale wing et al. Mokken scale analysis and confirmatory factor analysis of. Spssx procedure and standalone programs for the mokken scale. Comparing optimization algorithms for item selection in. 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. A more elaborate book on learning r for spss and sas users is muenchen 2008. An additional advantage of the mokken scale analysis over classical test theory e. The techniques for overcoming depression questionnaire. Nevertheless, measuring psychological attributes such as perceptions of a phenomenon among individuals may be difficult. Questionnaires and surveys are used throughout medical education.
It is a step by step guide from scratch to actually performing mokken scale analysis. The subjective index for physical and social outcome sipso. The health of the nation outcome scales isare argued to consist of 12 clinician rated scales that measure problem severity for health and social functioning variables using a 0 to 4 point scale wing. Oct 11, 2018 questionnaires and surveys are used throughout medical education. We then sort this matrix so that respondents who agree with more statements are listed at the top and those agreeing with fewer are at the bottom. Sawtooth software discriminant analysis klecka discriminant analysis and statistical pattern recognition mclachlan. Analyzing likert data the journal of extension joe.
Tilburg university getting started with mokken scale analysis. First, when selected during the procedure items satisfy the scaling conditions but they may fail to do so after the scale has been completed. Freedland, mariantonia lemos, frank doyle, brian c. Mokken scale analysis for dichotomous items using marginal. 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 scaling determines how likely it is that an item will be endorsed item difficulty and the amount of construct a person has. An illustration of ordinal item analysis confirmed that all 14 positively worded items of the warwickedinburgh mental wellbeing scale wemwbs met criteria for the monotone homogeneity.
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. I have a question regarding the graph for a likert scale variable the likert scale has 5 categories. I illustrate the procedure on a measure of selfreported disability, the 24item sickness impact profile roland scale rmsip, administered in a survey of 222 chronic pain. Description usage arguments details value authors references see also examples. If anybody has an idea, or an example code that shows how i can create such a nice bar chart, i would be very happy i already tried, the catplot and the slideplot command. Non parametric item response theory using stata semantic scholar.
Construct validity of the holistic complementary and. A nonparametric mokken scale analysis and program is described. Typically, the software for performing mokken scaling analysis also. Dear stata user i have a dataset with missing values and used statas mi command to impute them. Mokken scaling techniques are a scaling method that can be applied by researchers who design tests or construct multiitem questionnaires to measure health constructs. Stata module to perform the mokken scale procedure, statistical software components s439402, boston college department of economics, revised 08 may 20. The subjective index for physical and social outcome. Stata module to impute binary data by a rasch model jeanbenoit hardouin imvol. I cant find anything on why this may occur, so i was hoping someone here might be able to help.
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