mw. dr. A. (Annemarie) Zand Scholten


  • Faculteit der Maatschappij- en Gedragswetenschappen
    Programmagroep: Methoden en Technieken (M&T)
  • Nieuwe Achtergracht  127
    1018 WS  Amsterdam
    Kamernummer: REC D7.07
  • A.ZandScholten@uva.nl
    T:  0205251304
    T:  0205251201

Bio

I currently divide my time between managing the reorganization of the premaster programs for Social Sciences (SS) and Child Development and Educational Sciences (CDES) and lecturing at the department of CDES. My research focuses on quantitative measurement in psychology. I'm interested in the possibilities of combining representational measurement theory and psychometric latent variable modeling to ascertain the measurement level of psychological properties and the risk of inferential error when performing parametric tests. 

 

The premaster programs for Political Sciences, Sociology (10 master tracks within SS), Child Development and Educational Sciences (4 mastertracks with CDES) need to be separated from the regular bachelor program both financially and organizationally. This project encompasses development of a joint methods and statistics curriculum, a didactical model centered around a new digital learning environment, a cost-effective financial plan, student recruitment and a more efficient administrative work flow, all  in strong collaboration with the HvA.

 

Courses I currently teach include Methods and Statistics in Educational Sciences in the CDES research master and 'Toegepaste Methodenleer en Statistiek' or TMLS, a second year bachelor course on research methods and statistics. I also coordinate the 'OnderzoeksPracticum'. 

 

Other professional activities include work for the Society for Mathematical Psychology. I helped organize the 2009 conference and created an maintained the society and conference websites for some time. Currently, I'm involved in setting up the Women of MathPsych workgroup. I'm also an associate editor for the Netherlands Journal of Psychology. 

TMLS

Leerdoelen 1. Nadere toespitsing op de grondbeginselen van de algemene sociaal-wetenschappelijke methodenleer. 2. Behandeling van de toetsende statistiek 3. Het leren hanteren van SPSS voor het uitvoeren van (toetsende) statistische analyses. Inhoud Deze module gaat verder waar Algemene Methodenleer en Statistiek is gestopt. Er wordt aandacht besteed aan het opzetten van onderzoek in zowel het laboratorium als daarbuiten. Problemen en uitdagingen die men in de praktijk van het onderzoek tegen zal komen worden nader toegelicht. Daarnaast wordt er dieper ingegaan op de toetsende statistiek. Voor de pedagogiek en onderwijskunde belangrijke statistische technieken zullen worden behandeld, Er zal daarbij ook aandacht zijn voor het onderscheidingsvermogen van deze technieken. Tevens worden pedagogische en onderwijskundige onderzoeken besproken op methodologische en statistische aspecten. Onderwijstijden Maandagochtend 11-13 uur en woensdagochtend 11-13 uur of donderdagavond 19-22 uur. Practica nader tebepalen.

Methods and Statistics in Educational Research

Goals Knowledge of (a) the most commonly used statistical (GLM) techniques in educational research; (b) how to apply these techniques to real data sets with the computer program SPSS; (c) how to report statistical analyses and the results in academic journals; (d) how to read, understand, and interpret academic journal articles in which the techniques are used. Content The course starts with a short review of common experimental and quasi-experimental research designs, and associated types of analysis of variance (ANOVA). The general linear model is introduced as the general model that subsumes both ANOVA and regression analysis. Multiple regression analysis and MANOVA are treated extensively. Next, the generalised linear model is introduced as the even more general model that also subsumes logistic regression analysis and log linear modelling, which techniques are also treated extensively. Effect size indices and statistical power will be discussed for all mentioned statistical techniques. Through practical assignments, students not only learn how to apply the statistical techniques, but also how to prepare and screen data, and how to handle commonly encountered problems such as missing values, outliers, non-normality, heteroscedasticy, multicollineraty, inflated family-wise error rates, etc. Articles from educational research journals are used to illustrate how the statistical techniques are applied and described in the scientific literature, and how the results can be reported and interpreted. Schedule Tuesday 10-13 hrs and Friday 10-13 hrs.

Creating Surveys on the Internet

A course on how to create an webapplication that allows you to administer a psychological test or survey through the internet.

During the course students learn:

  • HTMLMarkup language : How to present a webpage on the internet.
  • CSS - Style rules : How to layout a webpage.
  • PHP - Programming language : How to create a dynamic webpage.
  • MySQL - Database system : How to store and retrieve data that is input or output for a webpage.

This course is no longer offered.

Testsite Construction

This course was aimed at students who excelled at the course 'Creating Surveys on the Internet'. It allowed students to work on their own programming project or a project provided by a third party. Projects have to be sufficiently complex and have to be approved first. The amount of credits (and sometimes monetary reward) was determined according to the complexity, new skills that have to be developed and time expenditure. Students are required to make and present a project plan, give regular progress reports and present the final working version of the application. This course is now discontinued and replaced with in-house internships, for information contact Sharon Klinkenberg.

Controversies in Methodology

I taught part of the Bachelor course 'Foundations of Methodology', namely the part on measurement. The course considers what constitutes measurement, several theories of measurement and the restrictions that measurement assumptions put on the use of statistical tests. For more detailed information seethe course link below.

My Curriculum Vitae

Download my CV using the link below. 

2013

  • J.M. Wicherts & A. Zand Scholten (2013). Comment on "Poverty Impedes Cognitive Function". Science, 342 (6163), 1169. doi: 10.1126/science.1246680

2012

  • A. Zand Scholten (2012). The Consensus Definition Redefined From a Representational Perspective. Measurement, 10, 104-109. doi: 10.1080/15366367.2012.681978

2011

  • J. Verkuilen, R.A. Kievit & A. Zand Scholten (2011). Representing concepts by fuzzy sets. In R. Belohlavek & G.J. Klir (Eds.), Concepts and fuzzy logic (pp. 149-176). Cambridge, MA: MIT Press.
  • A. Zand Scholten, G. Maris & D. Borsboom (2011). The emperor’s new measurement model. Measurement, 9 (1), 32-35. doi: 10.1080/15366367.2011.558785

2009

2008

2015

  • I.B. Wissink, X.M.H. Moonen, A. Zand Scholten, G.J.J.M. Stams, A. Bindels, L. Lekkerkerker & M. van der Wal (2015). Rapport onderzoek: De ontwikkeling en validering van een LVB-screeningsinstrument voor toepassing in het basisonderwijs. (intern rapport). Amsterdam: Universiteit van Amsterdam.

2013

2012

2011

  • J. Verkuilen, R.A. Kievit & A. Zand Scholten (2011). Representing concepts by fuzzy sets. In R. Belohlavek & G.J. Klir (Eds.), Concepts and Fuzzy Logic (pp. 149-176). Cambridge, MA: MIT Press.

2009

  • D. Borsboom, A.O.J. Cramer, R.A. Kievit, A. Zand Scholten & S. Franic (2009). The end of construct validity. In R.W. Lissitz (Ed.), The concept of validity (pp. 135-170). Information Age Publ. Inc..

2011

Tijdschriftredactie

  • S. Jak, A. Zand Scholten & F.J. Oort (Eds.). (2013) Netherlands Journal of Psychology, 67(4).
  • A. Zand Scholten (Ed.). (2011) Netherlands Journal of Psychology.
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