Anne Boomsma

The Department of Statistics & Measurement Theory functions was an independent service unit for the Faculty of Behavioural and Social Sciences (Faculteit der Gedrags- en Maatschappijwetenschappen – GMW). It offered specialized courses in statistics, methodology, and data analysis to students from all departments of the Faculty. In addition it provided 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. Some of its former staff members are now working at the University of Groningen in the Department of Sociology.

Research Interests

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

Last Courses

• Applied Statistics (Research Master; yearly)
  
• Causal Inference (Master; yearly)
  
• Probability Theory (Master, Research Master; biennial, 2009–2010)
  
• Structural Equation Modeling (Master, Research Master; 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. (2018). In memoriam Ivo W. Molenaar (1935–2018).} STAtOR, 19 (2), 36–40. [PDF] \\
  
  
• Boomsma, A. (2013). Reporting Monte Carlo studies in structural equation modeling. Structural Equation Modeling, 20, 518–540. [HTTP]
  
  • Supplemental material: RMC1.pdf
    
    
• 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.). (2000). 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]
  

Publication List

A complete list of publications is available on request.

Postal Address

Anne Boomsma
Department of Sociology
Faculty of Behavioural and Social Sciences
University of Groningen
Grote Kruisstraat 2/1
9712 TS Groningen
The Netherlands

Visiting Address

Department of Sociology
Gadourek Building, Room 2222.0206
Grote Rozenstraat 19
9712 TG Groningen
The Netherlands

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Telephone  +31 (0)50 363 6220 (Secretariat) 
Telefax    +31 (0)50 363 6304
E-mail     a.boomsma@rug.nl
Website    https://aboomsma.webhosting.rug.nl

Update:  June 24, 2019