Short CV/Education and training

  • Since 2015
    Professor in Statistics (with specialty in psychometrics) at Department of Statistics, Umeå School of Business and Economics (USBE), Umeå University, Sweden

  • 2010 – 2015
    Associate professor (docent) in Statistics. Department of Statistics, USBE, Umeå University, Sweden

  • 2011
    Visiting scholar at Educational Testing Service, Princeton, NJ, USA

  • 2005 – 2010
    Assistant professor, Department of Statistics, Umeå University, Sweden

  • 2006
    Post-doc at Department of Research Methodology, Measurement and Data Analysis, University of Twente, the Netherlands

  • 2005
    Visiting scholar at McGill University, Montreal, Canada (Fall)

  • 2004 – 2005
    Lecturer and researcher at Umeå University, Sweden

  • 2001
    Visiting PhD student at University of California, Berkeley, USA

  • 1999 – 2003
    PhD student, Department of Statistics, Umeå University

  • 1998
    Research assistant, Department of Educational Measurement, Umeå University, Sweden

  • 1998
    Bachelor of Social Science: Statistics, Umeå University, Sweden

  • 1995
    High school graduate from Östra Gymnasiet, Umeå, Sweden

  • 1976
    Born

Selected publications

  • Ramsay, J., Li, J. & Wiberg, M. (2020). Better rating scale scores with information-based Psychometrics. Psych, 2(4), 347-369,

  • Ramsay, J.O, Li, J., & Wiberg, M. (2020). Full information optimal scoring. Journal of Educational and Behavioral Statistics, 45(3), 297-315

  • Wiberg, M. & Rolfsman E. (2019). The association between science achievement measures in schools and TIMSS science achievement in Sweden. International Journal of Science Education. 41(16), 2218-2232.

  • Wiberg, M. (2019). The relationship between TIMSS mathematics achievements, grades and national test scores. Education Inquiry, 10(4), 328-343.

  • Wallin, G. & Wiberg, M. (2019). Propensity scores in kernel equating for non-equivalent groups. Journal of Educational and Behavioral Statistics. 44(4), 390-414.

  • Laukaityte, I. & Wiberg, M. (2018). The importance of sampling weights in multilevel modeling of international large-scale assessment data. Communication in Statistics – Theory and Methods. 47(20), 4991-5012.

  • Gonzalez, J. & Wiberg, M. (2017). Applying test equating methods – using R. Springer.

  • Laukaityte, I. & Wiberg, M. (2017). Using plausible values in secondary analysis in large–scale assessments. Communication in Statistics – Theory and Methods. DOI:10.1080/03610926.2016.1267764

  • Ramsay, J. O. & Wiberg, M. (2017). A strategy to replace sum scoring. Journal of Educational and Behavioral Statistics, 42(3), 282-307.

  • Wiberg, M. & von Davier, A. A. (2017). Examining the impact of covariates on anchor tests to ascertain quality over time in a college admissions test. International Journal of Testing. 17, 105-126.



Complete list of publications

Selected projects

  • Innovative statistical methods for standardized achievement tests to ensure comparability and fairness of test scores (Wallenberg foundation MMW)

  • New statistical methods to ascertain high quality over time in standardized achievement tests. (Swedish Research Council)

  • What can we learn from large-scale assessments about promoting student success? (Swedish Research Council)

  • Analysis and modeling of Swedish students’ performance in TIMSS and PISA in an international perspective (Swedish Research Council)

  • Method development for analyzing and evaluating computerized achievement tests (Swedish Research Council)

Membership in scientific bodies/juries

  • Young Academy of Sweden, Elected for five years, 2013 – 2018

  • Board of trustees Psychometric Society, 2017 – 2019

  • Scientific secretary for Swedish regional ethical review board, Umeå (2015-2019)

  • Psychometric Society

  • Swedish Statistical Society

  • International Test Commission

  • National Council of Measurement in Education

Soft Skills/Other activities and achievements

Soft Skills

  • Curious, Goal-oriented, Social


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