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I work at [[Educational Testing Service|http://www.ets.org]]. One of my roles there is to direct research for the [[IEA|http://www.iea.nl]] / [[ETS|http://www.ets.org]] research institute ([[IERI|http://www.ierinstitute.org]]). I am also a honorary [[senior research fellow at Oxford University|http://www.education.ox.ac.uk/about-us/directory/dr-matthias-von-davier/]].You can find a short vita when you follow the link.

One project that I consider a major milestone this year is the volume [[Handbook of International Large-Scale Assessment]]. It will be published in December 2013, and I am one of the editors of the volume.

In 2012, I helped publishing [[The Role of International Large-Scale Assessments: Perspectives from Technology, Economy, and Educational Research|http://www.springer.com/education+%26+language/book/978-94-007-4628-2]] as one of the editors of the volume.

I am co-editor of the volume [[Multivariate and Mixture Distribution Rasch Models|http://www.springer.com/statistics/social+sciences+%26+law/book/978-0-387-32916-1]] published by Springer in 2007. This book collects current research and applications around mixture and multidimensional IRT models.

Homepage of [[British Journal of Mathematical and Statistical Psychology|http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%292044-8317]]. I became the editor of this journal in 2013, the first issue with papers accepted under my editorship will be in print some time in 2014.

Here is a link to more information on a [[New journal of Large Scale Assessments in Education]]. I am founding co-editor of this new journal. It continues the successful IEA/ETS (IERI) publication series 'Issues and Methodologies in Large Scale Assessments'.

Above are links to some books I have been involved as an editor, as well as links to journals I am serving as editor for. I consider this an important part of my activities: Helping to disseminate state-of-the-art research in areas such as quantitative psychology, mathematical and statistical psychology, as well as educational measurement and psychometrics.

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[[Three Recent Papers on Diagnostic Models]]
[[On Google Books: Handbook of International Large Scale Assessment]]
[[Books and Journals]]
[[Diagnostic Models]]
[[WINMIRA 2001]]

The second workshop of this year will be held at the [[Psychometric Society Meeting in Lincoln, NE|http://online.unl.edu/Academic-Conferences/Upcoming-Programs/International-Meeting-of-Psychometric-Society.aspx]]:
Topic/Title: Analyzing Large Scale Assessment Data with the General Diagnostic Model (Full-day)
Presenters: Matthias von Davier, ETS, United States & Claus H. Carstensen, Otto-Friedrich-Universität, Bamberg, Germany 

The General Diagnostic Model (GDM) is a framework for modeling with multidimensional discrete and continuous skill variables. It provides a family of models that includes the Latent Class Analysis (LCA), located latent class models, multidimensional Rasch and 2PL/GPC models, mixture Rasch Models and IRT models as well as many diagnostic models as special cases. There is [[More on the General Diagnostic Model (GDM)]]

<html><img src="GDMPP/GDMgui.png" style="width: 400px; "/></html>

Extended version with results on two equivalencies and identifiability:
von Davier, M. (2013). The DINA Model as a Constrained General Diagnostic Model - Two Variants of a Model Equivalency. British Journal of Mathematical and Statistical Psychology. http://onlinelibrary.wiley.com/doi/10.1111/bmsp.12003/abstract

von Davier, M. (2011). Equivalency of the DINA Model and a Constrained General Diagnostic Model. ETS-RR-11-37. Princeton: ETS Research Report Series. Retrieved 9/27/2011 from: http://www.ets.org/Media/Research/pdf/RR-11-37.pdf

von Davier, M.  (2010). Hierarchical mixtures of diagnostic models. Psychological Test and Assessment Modeling, Volume 52, 2010 (1), 8-28. Retrieved May 10th, 2010 from http://www.psychologie-aktuell.com/fileadmin/download/ptam/1-2010/02_vonDavier.pdf

von Davier, M., Xu, X. & Carstensen, C. H. (2009). Using the General Diagnostic Model for Measuring Learning and Change in a Longitudinal Large Scale Asseessment. ETS Research Report Series ETS-RR-09-28. Retrieved 11/9/2009 from http://www.ets.org/Media/Research/pdf/RR-09-28.pdf

Final journal version available at:
von Davier, M., Xu, X. & Carstensen, C. H. (2011). Measuring Growth in a Longitudinal Large Scale Assessment with a General Latent Variable Model. Psychometrika, online first. DOI: 10.1007/S11336-011-9202-Z. http://www.springerlink.com/content/x2102q411363214u/

von Davier, M. (2009, July). Introduction to Diagnostic Models. Invited Workshop at the Statistical and Applied Mathematical Sciences Institute (SAMSI) summer program in Psychometrics, Research Triangle Park, South Carolina. Retrieved 9/27/2011 from: http://legacy.samsi.info/200910/psycho/presentations/Von_Davier_test_analysis_diagnostic_handouts.pdf

Xu, X. & von Davier, M. (2008). Linking with the General Diagnostic Model.  IERI Monograph Series – Issues and Methodologies in Large Scale Assessments – Volume I, October 2008, 97-112. Retrieved 9/27/2011 from:
http://www.ierinstitute.org/IERI_Monograph_Volume_01_Chapter_5.pdf

von Davier, M.  (2007). Mixture General Diagnostic Models. Research Report, RR-07-32. ETS: Princeton, NJ.
http://www.em2007.mpg.de/files/RR-07-32.pdf

von Davier, M. (2005). A General Diagnostic Model Applied to Language Testing Data. Research Report RR-05-16. ETS: Princeton, NJ. Retrieved 9/27/2011 from: http://www.ets.org/Media/Research/pdf/RR-05-16.pdf

Final journal version available at:
von Davier, M. (2008). A general diagnostic model applied to language testing data. British Journal of Mathematical and Statistical Psychology, Vol. 61, No. 2. (November), pp. 287-307. http://onlinelibrary.wiley.com/doi/10.1348/000711007X193957/abstract

Xu, Xueli & von Davier, Matthias (2008). Fitting the Structured General Diagnostic Model to NAEP Data. RR-08-27, ETS Research Report. http://www.ets.org/research/policy_research_reports/publications/report/2008/hspl
 
Xu, Xueli & von Davier, Matthias (2008). Comparing Multiple-Group Multinomial Loglinear Models for Multidimensional Skill Distributions in the General Diagnostic Model. RR-08-35, ETS Research Report. http://www.ets.org/research/policy_research_reports/publications/report/2008/hspu

In December 2013, the volume [[Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis|http://www.crcpress.com/product/isbn/9781439895122]] will be published. I am one of the editors of the volume.

Table of Contents:

I) Policy and Research Relevance of International Large-Scale Assessment Data

A Brief Introduction to Modern International Large-Scale Assessment
 - David Rutkowski, Leslie Rutkowski, Matthias von Davier
International Large-Scale Assessments: From Research to Policy
- Hans Wagemaker
The Impact of International Studies of Academic Achievement on Policy and Research
- Stephen P. Heyneman and Bommi Lee

II) Analytic Processes and Technical Issues Around International Large-Scale Assessment Data

Assessment Design for International Large-Scale Assessments
- Leslie Rutkowski, Eugene Gonzalez, Matthias von Davier, and Yan Zhou
Modeling Country-Specific Differential Item Functioning
- Cees Glas and Khurrem Jehangir
Sampling, Weighting, and Variance Estimation in International Large-Scale Assessments
- Keith Rust
Analytics in International Large-Scale Assessments: Item Response Theory and Population Models
- Matthias von Davier and Sandip Sinharay
Imputing Proficiency Data under Planned Missingness in Population Models
- Matthias von Davier
Population Model Size, Bias, and Variance in Educational Survey Assessments
- Andreas Oranje and Lei Ye
Linking Scales in International Large-Scale Assessments
- John Mazzeo and Matthias von Davier
Design Considerations for the Program for International Student Assessment
- Jonathan P. Weeks, Matthias von Davier, and Kentaro Yamamoto
Innovative Questionnaire Assessment Methods to Increase Cross-Country Comparability
- Patrick C. Kyllonen and Jonas Bertling
Relationship between Computer Use and Educational Achievement
- Martin Senkbeil and Jörg Wittwer
Context Questionnaire Scales in TIMSS and PIRLS 2011
- Michael O. Martin, Ina V. S. Mullis, Alka Arora and Corinna Preuschoff
Motivation and Engagement in Science Around the Globe: Testing Measurement Invariance with Multigroup Structural Equation Models across 57 Countries Using PISA 2006
- Benjamin Nagengast and Herbert W. Marsh
Contextual Indicators in Adult Literacy Studies: The Case of PIAAC
- Jim Allen and Rolf van der Velden

III) Advanced Analytic Methods for Analyzing International Large-Scale Assessment Data

Incorporating Sampling Weights into Single and Multilevel Analyses
- Laura M. Stapleton
Multilevel Analysis of Assessment Data
- Jee-Seon Kim, Carolyn J. Anderson, and Bryan Keller
Using Structural Equation Models to Analyze ILSA Data
- Leslie Rutkowski and Yan Zhou
Efficient Handling of Predictors and Outcomes Having Missing Values
- Yongyun Shin
Multilevel Modeling of Categorical Response Variables
- Carolyn J. Anderson, Jee-Seon Kim, and Bryan Keller
Causal Inference and Comparative Analysis with Large-Scale Assessment Data
- Joseph P. Robinson
Analyzing International Large-Scale Assessment Data within a Bayesian Framework
- David Kaplan and Soojin Park
A General Psychometric Approach for Educational Survey Assessments: Flexible Statistical Models and Efficient Estimation Methods
- Frank Rijmen, Minjeong Jeon, Matthias von Davier, and Sophia Rabe-Hesketh

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[[WINMIRA 2001]]
[[Books and Journals]]
[[Diagnostic Models]]
[[PISA, TIMSS & Co.]]
[[Workshops|Next workshops in 2012 Diagnostic Modeling at IMPS and a Oxford University Masterclass]]
[[Journal|journal]]
[[About me]]

Some articles on Mixture IRT, Mixture Rasch Models, and latent class modeling that are available online:

von Davier, M. & Rost, J. (1996) Self Monitoring - A class variable? In J. Rost & R. Langeheine (Eds.): Applications of Latent Trait and Latent Class Models in the Social Sciences. Münster: Waxmann. Retrieved 9/27/2011 from: http://www.ipn.uni-kiel.de/aktuell/buecher/rostbuch/c28.pdf

Rost, J., Carstensen, C. & von Davier, M. (1996) Applying the Mixed Rasch Model to Personality Questionnaires. In J. Rost & R. Langeheine (Eds.): Applications of Latent Trait and Latent Class Models in the Social Sciences . Münster: Waxmann. http://www.ipn.uni-kiel.de/aktuell/buecher/rostbuch/c31.pdf

von Davier, M. (1997). Bootstrapping goodness-of-fit statistics for sparse categorical data: Results of a Monte Carlo study. Methods of Psychological Research - Online. Vol 2(2),1997, 29-48. Retrieved 1/14/2010 from:  http://www.dgps.de/fachgruppen/methoden/mpr-online/issue3/art5/davier.pdf

von Davier, M. (1997). WINMIRA - program description and recent enhancements. Methods of Psychological Research - Online. Vol 2(2),1997, 25-28. Retrieved 1/14/2010 from:  http://www.dgps.de/fachgruppen/methoden/mpr-online/issue3/art4/davier.pdf

von Davier, M. & Yamamoto, K. (2003). Partially Observed Mixtures of IRT Models: An Extension of the Generalized Partial Credit Model. Research Report RR-03-22. ETS: Princeton, NJ. Retrieved 9/27/2011 from: http://www.ets.org/Media/Research/pdf/RR-03-22-vonDavier.pdf

Final journal version available as: 
von Davier, M. & Yamamoto, K. (2004). Partially Observed Mixtures of IRT Models: An Extension of the Generalized Partial Credit Model. Applied Psychological Measurement Vol. 28, No.6, 389-406. http://apm.sagepub.com/content/28/6/389.refs

von Davier, M.  (2007). Mixture General Diagnostic Models. Research Report, RR-07-32. ETS: Princeton, NJ. Retrieved 9/27/2011 from: http://www.em2007.mpg.de/files/RR-07-32.pdf

von Davier, M., Xu, X. & Carstensen, C. H. (2009). Using the General Diagnostic Model for Measuring Learning and Change in a Longitudinal Large Scale Assessment. ETS Research Report Series ETS-RR-09-28. Retrieved 11/9/2009 from http://www.ets.org/Media/Research/pdf/RR-09-28.pdf

Final journal version available at:
von Davier, M., Xu, X. & Carstensen, C. H. (2011). Measuring Growth in a Longitudinal Large Scale Assessment with a General Latent Variable Model. Psychometrika, online first. DOI: 10.1007/S11336-011-9202-Z. http://www.springerlink.com/content/x2102q411363214u/

Here is a [[short description of mdltm|pdfs/Software_Description_mdltm_Mvd_XXu_final.pdf]], the GDM software, and the GDM++ GUI program

A research license for non-commercial use is available. Send an [[email|mailto:mvondavier@yahoo.com]] to me.

Here are some [[GDM and Diagnostic Modeling Papers]] from 2005 to now
    
You can [[download the first presentation (2004) on the General Diagnostic Model (GDM)|pdfs/Spearman_Talk_MvD.pdf]]; The presentation shows that we introduced the following ideas in 2004:
 - diagnostic models for binary and polytomous ordinal item response data
 - log-linear modeling of skill distributions
 - a general framework for diagnostic models that implies and includes many diagnostic models as special cases

I co-edited a book on "The Role of International Large Scale Assessments: Perspectives from Technology, Economy, and Educational Research"

Further information on the volume can be found at: http://www.springer.com/education+%26+language/book/978-94-007-4628-2

I am continuing my role as co-editor for the IEA/ETS research institute (IERI) publications. In October, we published the 5th edition of [['Issues and Methodologies in Large Scale Assessments'|http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_05.pdf]] and the first special issue of the series with the title [["Sample Size Requirements in HLM: An Empirical Study"|http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Special_Issue_1.pdf]]. A list of all available IERI publications can be [[found here|http://www.ierinstitute.org/dissemination-area.html]].

As of October 2013, we have a complete issue online, with free access to all the papers: I am one of the editors in chief of the new journal of [[Large Scale Assessments in Education|http://www.largescaleassessmentsineducation.com/]] that was just launched as a Springer OpenAccess Journal. It continues the successful periodical [[Issues and Methodologies in Large Scale Assessments|http://www.ierinstitute.org/dissemination-area.html]].

While the IERI periodical was highly successful in terms of website hits and downloads (some articles have been viewed more than 1,500 times, and the website receives over 40,000 hits per year), there are many advantages to publishing under the Springer Open Access Journal model. Under this format, the work will be immediately and permanently available online for everyone.  We will also achieve increased circulation and distribution using the Springer network, citation tracking, and inclusion in bibliographic databases of articles. Open access journals are tracked for impact factors and are deposited into bibliographic databases and institutional repositories without any embargo period, just as with traditional journals. We expect this will translate into more submissions, higher interest and increased visibility for the journal. We invite you to explore the new site at: http://www.largescaleassessmentsineducation.com/. 

Large-Scale Assessments in Education is a joint publication of the International Association for the Evaluation of Educational Achievement (IEA) and Educational Testing Service (ETS). The articles in this peer-reviewed journal contribute to the science of large-scale assessments, help disseminate state-of-the-art information about empirical research using these databases, and make the results available to policy makers and researchers around the world. Articles suitable for publication in the journal focus on improving the science of large-scale assessments and make use of data collected by programs such as IEA’s TIMSS, PIRLS, ICCS, and SITES; U.S.-NAEP and ECLS; OECD’s PISA, PIAAC and TALIS; IALS, ALL and others.

 

My next workshop will be in Taiwan, January 16-17, 2014.

Information about the workshop can be found here http://www.rcpet.ntnu.edu.tw/LatentClass/index.html

and with google translate here: http://translate.google.com/translate?sl=auto&tl=en&js=n&prev=_t&hl=en&ie=UTF-8&u=http%3A%2F%2Fwww.rcpet.ntnu.edu.tw%2FLatentClass%2Findex.html

On October 4th and 5th, I will teach a [[masterclass on diagnostic modeling using large scale assessment data at Oxford University|http://oucea.education.ox.ac.uk/wordpress/wp-content/uploads/2012/06/Flyer-Diagnostic-Modelling.pdf]]. The announcement can be found [[here|http://oucea.education.ox.ac.uk/events/]].

At the International Meeting of the Psychometric Society (IMPS) 2012 in Lincoln, Nebraska, there will be a workshop on [[analyzing large scale assessment data with diagnostic models|http://online.unl.edu/Academic-Conferences/Upcoming-Programs/International-Meeting-of-Psychometric-Society.aspx]] in July 2012.

The department of statistics at Columbia University in New York City conducted a [[2-day workshop on diagnostic modeling|http://stat.columbia.edu/~gongjun/DCMworkshop/]], and they invited me to be one of their speakers.

In Jena, in March 2012, I did a [[workshop on diagnostic models|http://www.educational-measurement.uni-jena.de/]].

In Munich, in May 2011, they folks at the Ludwig Maximillian University invited me for a workshop and [[an invited talk|http://www.en.mcls.uni-muenchen.de/aktuelles/guest_van_davier/index.html]] on diagnostic modeling and on large scale international assessments.

In 2009, at the Statistical and Applied Mathematical Sciences Institute (SAMSI) summer program in psychometrics I gave a [[half-day introduction to diagnostic modeling|http://www.samsi.info/programs/summer-2009-program-psychometrics]].

In Chicago, in 2007, I held a workshop on [[the Rasch Model, on Latent Class Models, and Extensions|http://weraonline.org/meetings/Default.aspx?menu_id=24&id=1986]] during the annual AERA meeting.
 
At the university of Maryland, in 2006, I held one of the first workshops on diagnostic modeling. This was during the [[conference on mixture models|http://www.cilvr.umd.edu/Conference/Conference2006.html]]  organized by the ed. measurement and statistics department at UMD.

I have been conducting workshops on Rasch Models, Latent Class Models, and Extensions using [[WINMIRA 2001]] since 1994, and on [[international assessments|PISA, TIMSS & Co.]] as well as workshops on [[Diagnostic Models]] since 2006. Usually these are invited workshops hosted by a university or a research institute. Here are a few websites that talk about these workshops.




 

The Handbook of International Large Scale Assessment, edited by Leslie and David Rutkowski and me has been published last November. 

Now it is also available as an eBook on Google:

http://books.google.com/books/about/Handbook_of_International_Large_Scale_As.html?id=dkO8AgAAQBAJ

It is available at the publisher website
 
http://www.crcpress.com/product/isbn/9781439895122

and of course there is a page on Amazon about the volume. Here is the link:

http://www.amazon.com/Handbook-International-Large-Scale-Assessment-Background/dp/1439895120

These [[InterfaceOptions]] for customising [[TiddlyWiki]] are saved in your browser

Your username for signing your edits. Write it as a [[WikiWord]] (eg [[JoeBloggs]])

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Also see [[AdvancedOptions]]

Yesterday, the PISA 2012 results were released, based on data from 65 countries. Also recently, Transparency International released their corruption perception index (CPI) for 2013, based on data from 177 countries.

It is well known that OECD is looking at GPD and PISA scores:

http://webcache.googleusercontent.com/search?q=cache:n-qqUfYUqNoJ:www.oecd.org/pisa/49685503.pdf+&cd=1&hl=en&ct=clnk&gl=us


However, other country level indicator such as the CPI also show a strong association with PISA country averages. When we correlate the country level math average of PISA with the CPI for those 61 countries that appear in both samples, we obtain a positive association of r=0.61. 

Is this an artifact, or is there indeed an association between the average level of perceived correlation in country and the average math performance of that educational system?

International Large Scale Assessments provide information about student and adult skills. These programs are based on representative samples of target populations assessed with carefully designed tests and questionnaires. There are several assessments out there, examples are school based assessments such as [[TIMSS|http://timss.bc.edu/]], [[PISA|http://www.pisa.oecd.org]] and [[PIRLS|http://timss.bc.edu/]], and adult assessments such as [[PIAAC|http://www.oecd.org/piaac]]. National assessments such as [[NAEP|http://nces.ed.gov/nationsreportcard/]] do similar things within countries: The goal is to assess what students know and can do using survey techniques combined with a specialized assessment design that allows broad coverage of the content domains of interest.

The psychometric methodologies of international large scale assessments are one of my areas of interest. Here you can download a couple of [[Papers on large scale assessment methodology]].

There is also a [[New Book on "The Role of International Large-Scale Assessments"]]

von Davier, M. & Sinharay, S. (2004). A stochastic EM algorithm for Latent Regression Models. Research Report RR-04-34. ETS: Princeton, NJ. Retrieved 9/29/2011: http://www.ets.org/Media/Research/pdf/RR-04-34.pdf

Final journal version available as:
von Davier, M. & Sinharay, S. (2007). An Importance Sampling EM Algorithm for Latent Regression Models.  Journal of Educational and Behavioral Statistics, 32, 3, 233-251.

von Davier, M., Gonzalez, E. & Mislevy, R. (2009) What are Plausible Values and why are they useful? In: M. von Davier & D. Hastedt (Eds.): IERI Monograph Series: Issues and Methodologies in Large Scale Assessments, Vol. 2. Retrieved 9/27/2011: http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_02_Chapter_01.pdf

Hsieh, C., Xu, X, & von Davier, M (2009). Variance Estimation for NAEP Data Using a Resampling-Based Approach: An Application of Cognitive Diagnostic Models.  In: M. von Davier & D. Hastedt (Eds.): IERI Monograph Series: Issues and Methodologies in Large Scale Assessments, Vol. 2. Retrieved 6/11/2012: http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_02_Chapter_07.pdf

Mazzeo, J., & Davier, M. von (2008). Review of the Programme for International Student Assessment (PISA) Test Design: Recommendations for Fostering Stability in Assessment Results. doc.ref. EDU/PISA/GB(2008)28; Retrieved 09/27/2011 from: https://edsurveys.rti.org/PISA/documents/MazzeoPISA_Test_DesignReview_6_1_09.pdf

von Davier, M. & Sinharay, S. (2009). Stochastic Approximation for Latent Regression Item Response Models. ETS-RR-09-09. Princeton: ETS Research Report Series. Retrieved 09/29/2011 from: http://www.ets.org/Media/Research/pdf/RR-09-09.pdf

Final journal version available as:
von Davier, M. & Sinharay, S. (2010). Stochastic Approximation for Latent Regression Item Response Models. Journal of Educational and Behavioral Statistics, Vol. 35, No. 2, 174-193. http://jeb.sagepub.com/content/35/2/174.abstract


Rutkowski, L., Gonzalez, E., Joncas,M. & von Davier, M. (2010) International Large-scale Assessment Data: Issues in Secondary Analysis and Reporting. Educational Researcher, Vol. 39, No. 2, March 2010, pp. 142-151. Retrieved 9/27/2011: http://www.aera.net/uploadedFiles/Publications/Journals/Educational_Researcher/3902/142-151_03EDR10.pdf

Xu, X., & von Davier, M. (2010). Linking Errors in Trend Estimation in Large Scale Surveys: A Case Study. ETS-RR-10-11. Princeton: ETS Research Report Series. Retrieved 9/27/2011: http://www.ets.org/Media/Research/pdf/RR-10-10.pdf

Rose, N., von Davier, M. & Xu, X. (2010). Modeling non-ignorable missing data with IRT. ETS-RR-10-10. Princeton: ETS Research Report Series. Retrieved 9/27/2011: http://www.ets.org/Media/Research/pdf/RR-10-11.pdf

Oliveri, M. E. & von Davier, M. (2011). Investigation of Model Fit and Score Scale Comparability in International Assessments. Psychological Test and Assessment Modeling, 53 (3) 315-333. Retrieved 9/29/2011 from: http://www.psychologie-aktuell.com/fileadmin/download/ptam/3-2011_20110927/04_Oliveri.pdf

The second part of "Methodological Advances in Psychological and Educational Testing", a special issue in Psychological Test and Assessment Modeling, Volume 53, 2011 (4) is available here: [[Part 2: Methodological advances in psychological and educational testing|http://www.psychologie-aktuell.com/index.php?id=inhaltlesen&tx_ttnews[tt_news]=2129&tx_ttnews[backPid]=204&cHash=28416a4148]]

<<search>><<closeAll>><<permaview>><<newTiddler>><<newJournal "DD MMM YYYY" "journal">><<saveChanges>><script> if (!readOnly) return "<<slider chkSliderOptionsPanel OptionsPanel [[options »]] [[Change TiddlyWiki advanced options]]>>";</script>

<<tabs txtMainTab "Timeline" "Timeline" TabTimeline "All" "All tiddlers" TabAll "Tags" "All tags" TabTags "More" "More lists" TabMore>><script> if (readOnly) place.style.display="none"; </script>

(Homepage of Matthias von Davier)

Mixture IRT, WINMIRA, GDM, etc.

Th current issue 2011-3 of [[Psychological Test and Assessment Modeling|http://www.psychologie-aktuell.com/index.php?id=204]] is a special issue I put together as a guest editor on [[Methodological advances in psychological and educational testing|http://www.psychologie-aktuell.com/index.php?id=inhaltlesen&tx_ttnews[tt_news]=2026&tx_ttnews[backPid]=204&cHash=7eaf2e4b75]]. This special issue will have two part, the second coming up as issue 2011-4.

<<timeline>>

[[The DINA model as a constrained general diagnostic model:  two variants of a model equivalency|http://onlinelibrary.wiley.com/doi/10.1111/bmsp.12003/abstract]] is a paper I wrote that just came out in the British Journal of Mathematical and Statistical Psychology.

The results presented in the paper show how the (conjunctive) DINA model can be re-expressed as compensatory (!) general diagnostic model by using a one-to-one transformation of the skill space and the Q-matrix resulting in multiple equivalent forms of the DINA. It also shows how to check identifiability of a general class of diagnostic models, including the GDM and the DINA, and presents an example that shows the agreement of the parameter estimates when using the DINA and the equivalent DINA specified as a constraint GDM.

The fourth "Issues and Methodologies in Large Scale Assessments" is [[available online|http://www.ierinstitute.org/html/da4.html]]. Why do I care? I believe this is a useful series for researchers interested in international comparative studies, and I co-edit this series with Dirk Hastedt from IEA. 

As in previous issues, this is a collection of research papers on methodological and substantive questions around international large-scale assessments.

von Davier, M. (2014), The Log-Linear Cognitive Diagnostic Model (LCDM) as a Special Case of the General Diagnostic Model (GDM). ETS Research Report Series. Available at: http://onlinelibrary.wiley.com/doi/10.1002/ets2.12043/abstract

von Davier, M., & Haberman, S. (2014). Hierarchical Diagnostic Classification Models Morphing into Unidimensional 'Diagnostic' Classification Models—A Commentary. Psychometrika. Available at: http://dx.doi.org/10.1007/s11336-013-9363-z

von Davier, M. (2013). The DINA Model as a Constrained General Diagnostic Model - Two Variants of a Model Equivalency. British Journal of Mathematical and Statistical Psychology. Available at: http://onlinelibrary.wiley.com/doi/10.1111/bmsp.12003/abstract

WINMIRA 2001 is a software for estimating Rasch Models, Mixture Rasch Models, Latent Class Models and Hybrid models. It provides models for  dichotomous and polytomous data and can handle ASCII (text file) and SPSS (sav) sources. It is available for windows operating systems.

For download and ordering information, please refer to the [[WINMIRA 2001 page|wmira/index.html]].

Here is a link to the [[WINMIRA 2001 Manual|wmira/winmiramanual.pdf]]

Some articles related to the software, on Mixture IRT, Mixture Rasch Models, and latent class modeling that are available online can be found at [[Mixture IRT and Mixed Rasch Model Online References]]

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My first 2012 one-day [[workshop on diagnostic models|http://www.educational-measurement.uni-jena.de/Workshops/Workshop+3_+Dr_+Matthias+von+Davier.html]] will be held during the Spring School Educational Measurement at the University of Jena. The workshop will take place on 3/29/2012 and provides presentations of theory, examples and exercises.

A list of recent events and publications of books, special issues and articles.