Anne Boomsma

The Department of Statistics & Measurement Theory functions as a service unit for the Faculty of Behavioural and Social Sciences (Faculteit der Gedrags- en Maatschappijwetenschappen – GMW). It offers specialized courses in statistics, methodology, and data analysis to students from all departments of the Faculty. In addition it provides a consultative service for staff and students who require help with their research design, choice of statistical model, statistical data analysis, or the interpretation of results from such analyses.

Research Interests

• Causal Inference
• Robust Statistics
• Structural Equation Modeling
• Resampling Procedures
• Item Response Theory

Last Courses

• Applied Statistics (Research Master, GMMSGE08; yearly)
  
• Causal Inference (Master, PSMM-1; yearly)
  
• Probability Theory (Master, Research Master, GMMSGE09; biennial, 2009–2010)
  
• Structural Equation Modeling (Master, Research Master, GMMSGE06; biennial, 2010–2011)
  
• Structural Equation Modeling (post-academic course for IOPS students)
  
• Introduction to Structural Equation Modeling (post-academic course for students abroad)
  
• R Tutorial for Applied Statistics
  

Editorial Work

Member of the Editorial Board of Structural Equation Modeling

Computer Programs

CONFIN: A program for the calculation of confidence intervals.

This program is available from the author:
e-mail a.boomsma@rug.nl

R Software

Some statistical functions are freely available.

• R function swain.R and its documentation swain.pdf
  
  

Recent Publications

• Boomsma A. (in press). Reporting Monte Carlo studies in structural equation modeling. Structural Equation Modeling.
  
  
• Boomsma, A., Hoyle, R.H., & Panter, A.T. (2012). The structural equation modeling research report. In R.H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 341–358). New York: Guilford Press.
  
  
• Post, W.J., Van Duijn, M.A.J., & Boomsma A. (2012). Tutorial on teaching hypothesis testing. Model Assisted Statistics and Applications, 7, 143–157. [PDF]
  
  
• Aussems, M.E., Boomsma, A., & Snijders, T.A.B. (2011). The use of quasi-experiments in the social sciences: A content analysis. Quality & Quantity, 45, 21–42.
  
  
• Ten Holt, J.C., Van Duijn, M.A.J., & Boomsma, A. (2010). Scale construction and evaluation in practice: A review of factor analysis versus item response theory applications. Psychological Test and Assessment Modeling, 52, 272–297. [PDF]
  
  
• Aussems, M.E., Boomsma, A., & Snijders, T.A.B. (2009/Online first). The use of quasi-experiments in the social sciences: A content analysis. Quality & Quantity. [PDF Online First]
  
  
• Herzog, W., & Boomsma, A. (2009). Small-sample robust estimators of noncentrality-based and incremental model fit. Structural Equation Modeling, 16, 1–27. [PDF]
  
  
• Vautier, S., Steyer, R., & Boomsma, A. (2008). The true-change model with individual method effects: Reliability issues. British Journal of Mathematical and Statistical Psychology, 61, 379–399. [PDF manuscript 2007]
  
  
• Hulstijn, E.M., Boomsma, A., Cohen-Kettenis, P.T., & Mellenbergh, G.J. (2008). De Vragenlijst Sociale Vaardigheden van Jongeren. [The Social Skills Questionnaire for Children and Adolescents.] Tijdschrift voor Orthopedagogiek, 47, 460–470.
  
  
• Štochl, J, Boomsma, A., Van Duijn, M.A.J., Růžička, E., & Brožová, H. (2008). Mokken scale analysis of the UPDRS: Dimensionality of the Motor Section revisited. Neuroendocrinology Letters, 29, 151–158.
  
  
• Štochl, J., Boomsma, A., Růžička, E., Brožová, H., & Blahuš, P. (2008). On the structure of motor symptoms of Parkinson's disease. Movement Disorders, 23, 1307–1312. [HTTP]
  
  
• Drieschner, K.H., & Boomsma, A. (2008). The Treatment Engagement Rating scale (TER) for forensic outpatient treatment: Description, psychometric properties, and norms. Psychology, Crime & Law, 14, 299–315. [Abstract]
  
  
• Boomsma, A., Van Lang, N.D.J., De Jonge, M.V., De Bildt, A.A., Van Engeland, H., & Minderaa, R.B. (2008). A new symptom model for autism cross-validated in an independent sample. The Journal of Child Psychology and Psychiatry, 49, 809–816. Erratum: The Journal of Child Psychology and Psychiatry, 50, 1326.
  
  
  • The OnlineEarly version of the paper and some material from the structural equation analyses in this study are available.
    
    
• Drieschner, K.H., & Boomsma, A. (2008). Validation of the treatment motivation scales for forensic outpatient treatment (TMS-F). Assessment, 15, 242–255.
  
  
• Drieschner, K.H., & Boomsma, A. (2008). The treatment motivation scales for forensic outpatient treatment (TMS-F): Construction and psychometric evaluation. Assessment, 15, 224–241.
  
  
• Herzog, W., Boomsma, A., & Reinecke, S. (2007). The model-size effect on traditional and modified tests of covariance structures. Structural Equation Modeling, 14, 361–390. [PDF]
  
  
• Hulstijn, E.M., Cohen-Kettenis, P.T., Mellenbergh, G.J., Boomsma, A., Blonk, R.W.B., Prins, P.J.M., & Hamerlinck, S. (2006). VSVJ: Vragenlijst Sociale Vaardigheden van Jongeren. [VSVJ: Social Skills Questionnaire for Children and Adolescents.] Amsterdam: Boom test uitgevers.
  
  
• Van Lang, N.D.J., Boomsma, A., Sytema, S., De Bildt, A.A., Kraijer, D.W., Ketelaars, C., & Minderaa, R.B. (2006). Structural equation analysis of a hypothesised symptom model in the autism spectrum. The Journal of Child Psychology and Psychiatry, 47, 37–44. [PDF]
  
  
• Nieboer, A., Lindenberg, S., Boomsma, A., & Van Bruggen, A.C. (2005). Dimensions of well-being and their measurement: The SPF-IL scale. Social Indicators Research, 73, 313–353.
  
  
• Arrindell, W., Boomsma, A., Ettema, H., & Stewart, R. (2004). Nog meer steun voor het multidimensionale karakter van de SCL-90-R. [Even more support for the multidimensional structure of the SCL-90-R.] De Psycholoog, 39, 368–371.
  
  
• Arrindell, W., Boomsma, A. Ettema, H., & Stewart, R. (2004). Verdere steun voor het multidimensionale karakter van de SCL-90-R. [Further support for the multidimensional structure of the SCL-90-R.] De Psycholoog, 39, 195–201.
  
  
• Boomsma, A. (2003). [Book review of Introduction to nonparametric item response modeling (authors K. Sijtsma & I.W. Molenaar)]. Psychometrika, 68, 323–326.
  
  
• Van Lang, N.D.J., Sytema, S., De Bildt, A.A., Kraijer, D.W., Ketelaars, C., Minderaa, R.B., & Boomsma, A. (2003). Structural equation analysis of a hypothesized symptom model in the autism spectrum. In N.D.J. van Lang Autism spectrum disorders: A study of symptom domains and weak central coherence (Chapter 4, pp. 41–56). Groningen: University of Groningen. (unpublished doctoral dissertation)
  
  
  • Material from the structural equation analyses in this study is available on-line
    
    
• Boomsma, A. (2003). [Book review of Structural equation modeling: Foundations and extensions (author D. Kaplan)]. Structural Equation Modeling, 10, 323–331.
  
  
• Boomsma, A. (2003, 15 februari). Crashkans. NRC Handelsblad – Wetenschap & Onderwijs, p. 36.
  
  
• Hofstee, W.K.B., Boomsma, A., & Ostendorf, F. (2001). Trait structure: Abridged-circumplex versus hierarchical conceptions. In R. Riemann, F.M. Spinath & F. Ostendorf (Eds.), Personality and temperament: Genetics, evolution, and structure (pp. 207–215). Lengerich: Pabst Science Publishers.
  
  
• Boomsma, A., Van Duijn, M.A.J., & Snijders, T.A.B. (Eds.). (2001). Essays on item response theory. New York: Springer.
  
  
  
  Abstracts of Essays on Item Response Theory are available.
  
  
• Boomsma, A., & Hoogland, J.J. (2001). The robustness of LISREL modeling revisited. In R. Cudeck, S. du Toit & D. Sörbom (Eds.), Structural equation models: Present and future. A Festschrift in honor of Karl Jöreskog (pp. 139–168). Lincolnwood, IL: Scientific Software International.
  
  A compressed postscipt file of this paper is available as a WinZip file: ssi.zip. If necessary the WinZip 8.0 program can be downloaded.
  
  
• Boomsma, A. (2000). Reporting analyses of covariance structures. Structural Equation Modeling, 7 , 461–483. [PDF]
  
  
• Boomsma, A. (2000). [Book review of Basics of structural equation modeling (author G.F. Maruyama)]. Structural Equation Modeling, 7, 142–148.
  
  
• Scheines, R., Hoijtink, H., & Boomsma, A. (1999). Bayesian estimation and testing of structural equation models. Psychometrika, 64, 37–52.
  
  
• Hoogland, J.J., & Boomsma, A. (1998). Robustness studies in covariance structure modeling: An overview and a meta-analysis. Sociological Methods & Research, 26, 329–367.
  
  
• Hoijtink, H., & Boomsma, A. (1996). Statistical inference based on latent ability estimates. Psychometrika, 61, 313–330.
  
  
• Boomsma, A. (1983). On the robustness of LISREL (maximum likelihood estimation) against small sample size and non-normality. Amsterdam: Sociometric Research Foundation. (Doctoral dissertation, University of Groningen) [Ph.D. thesis]
  

Submitted Manuscripts

• Jackson, D.L., Gillaspy, J.A., Purc-Stephenson, R., Voth, J., & Boomsma, A. (2011). Empirically derived recommendations for Monte Carlo studies of confirmatory factor analytic models. Manuscript submitted for publication.
  
  

Publication List

A complete list of publications is available on request.

Address

Anne Boomsma
Department of Sociology
Statistics and Measurement Theory
University of Groningen
Grote Rozenstraat 31
9712 TG Groningen
The Netherlands

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Telephone  +31 (0)50 363 6187 
Telefax    +31 (0)50 363 6304
E-mail     a.boomsma@rug.nl
Website    http://www.gmw.rug.nl/~boomsma 

Update:  April 2, 2013