Grants and Awards Department Methodology and Statistics
2018 Grants and Awards Methodology and Statistics
Leonie Vogelsmeier: Best Junior Scientist Presentation Award from the European Association of Methodology
At the 2018 European Congress of Methodology in Jena (Germany), Leonie Vogelsmeier received the Best Junior Scientist Presentation Award for her presentation entitled “Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies.” In this work, Leonie extended latent Markov factor analysis—which allows to evaluate measurement model changes in time-intensive longitudinal data—to accommodate unequally spaced measurement occasions. As part of the award, Leonie was granted the opportunity to publish this work in a special issue of the journal Methodology.
Inga Schwabe: John B. Carroll Award for Research Methodology by the International Society for Intelligence Research (ISIR)
For her methodological contributions in the field of behavior genetics, Inga Schwabe has been awarded the John B. Carroll Award for Research Methodology by the International Society for Intelligence Research (ISIR). In her research, she has shown that ignoring psychometric issues such as heterogeneous measurement error or scale transformations can result in spurious findings of genotype by environment interactions. To solve these problems, she introduced a new framework that integrates psychometric models with twin data.
Leonie van Grootel: Thomas C Chalmers Award
The Thomas C Chalmers Award is given at each Cochrane Colloquium to the principal author of the best presentation addressing methodological issues related to systematic reviews given by an early career investigator. The presentations must demonstrate originality of thought, high quality science, relevance to the advancement of the science of systematic reviews and clarity of presentation. Leonie presented one of the chapters of her dissertation in which she describes the rationale and steps concerning the incorporation of quantitized qualitative findings in an informative prior distribution in a Bayesian meta-analysis.
Olmo van den Akker: IOPS Best Poster Award
In a vignette study, Olmo van den Akker and colleagues studied the way researchers in psychology interpret situations where they are presented with the results of multiple studies that all test a given theory. They found that only 1% of the 505 participants used the normative approach of Bayesian inference, while a majority of the participants used simple vote counting approaches. These findings indicate that researchers fail to use important information like power and the significance level when assessing the results of scientific papers with multiple experiments.
Xynthia Kavelaars: NWO Talent Grant
Randomized controlled trials (RCTs) are considered the gold standard to investigate effectiveness of new treatments. However, as treatments become more personalized and address smaller subpopulations it becomes increasingly hard to setup powerful trials. We solve this problem by developing novel methodsthat 1) combine data from different endpoints within a trial, 2) include evidence from similar trials using different endpoints, and 3) include evidence from similar trials conducted on different groups of patients.
We will develop and evaluate a Bayesian framework for information sharing within and between trials to advance the efficiency of RCTs.
2017 Grants and Awards Methodology and Statistics
Leonie Vogelsmeier: IOPS Best Poster Award
At the 2017 Winter Conference of the Interuniversity Graduate School of Psychometrics and Sociometrics (IOPS) in Tilburg, Leonie Vogelsmeier was awarded the Best Poster Award for her poster entitled “Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies.” This work is part of Leonie's PhD project, in which she develops new methods for evaluating within- and between-person differences in measurement models underlying participants’ answers in intensive longitudinal data (e.g., experience sampling data).
Leonie Vogelsmeier: NWO Talent Grant
Understanding between- and within-person differences in experience sampling measurements using mixture factor analysis
Experience sampling, in which participants are questioned repeatedly via smartphone apps, is popular for studying psychological constructs (e.g., wellbeing, depression) within subjects over time. The validity of such studies, e.g., regarding decisions about treatment allocation over time, may be hampered by distortions of the measurement of the relevant constructs, e.g., by response styles or substantively altered interpretations of questionnaire items. This project develops a new approach for disentangling the distortions from the actual construct measurements while taking the specific features of experience sampling studies into account.
Yuan Shuai: NWO Talent Grant
Social science research in the era of Big Data
Genetic markers, GPS coordinates, and online behavior information are becoming increasingly available and can be linked to traditional survey data. Although this may improve our understanding of social phenomena, sociological theory is usually insufficiently specific to guide analyses of such multi-source data sets. In this project, we aim to develop novel exploratory methods, by combining elements of principal component, regression, and cluster analysis that could automatically detect interpretable associations within and between sources.
Joris Mulder: Vidi
Joris Mulder has been awarded a Vidi grant worth of 800,000 euros by the Netherlands Organization Scientific Research. In this project, Joris Mulder and colleagues will develop a new Bayesian statistical framework for analyzing relational data between individuals or groups of individuals in a social network. The new framework will be implemented in user-friendly software (e.g., R, JASP).
Joris Mulder: ERC Starting Grant
In this project, Joris Mulder will set up a research group to work on Bayesian relational event history modeling. The goal is to learn about how and how fast social relationships change in continuous time. The focus will be on social networks of colleagues in large organizations, social networks of children and teachers in classrooms, and social networks of criminal gangs in city districts.
Paulette Flore and Jelte Wicherts: NWO replicate grant
A large scale registered replication report of the stereotype threat effect in female math performance.
In this project, the researchers will team up with other labs across the world to replicate a well known study by Johns, Schmader and Martens (2005) in the effects of stereotype threat on female student's math test performance to study the replicability and generalizability of this common explanation of the gender gap in mathematics.
2016 Grants and Awards Methodology and Statistics
Katrijn Van Deun: Vidi grant for data research
Katrijn Van Deun (Tilburg School of Social and Behavioral Sciences, department Methodology and Statistics) has been awarded a Vidi grant worth 800,000 euros by the Netherlands Organisation for Scientific Research NWO. The grant will enable her to develop her own research program and research group. Van Deun's research concerns the development of statistical tools for the analysis of so-called Big Data from multiple sources.
Kim De Roover: Innovational Research Incentives Scheme Veni
Lack of measurement invariance in multilevel data: A cluster-based solution for making valid attribute comparisons.
When measuring unobservable attributes by observed variables like questionnaire items, psychologists assume a measurement model: each item measures the intended attribute. When comparing attributes based on item scores, they assume invariance of the measurement model across compared groups/subjects. The grant comprises 250,000 euro.
Katrijn Van Deun: Aspasia Grant
Katrijn Van Deun (Tilburg School of Social and Behavioral Sciences, department of Methodology and Statistics) was elected for an Aspasia premium by the Netherlands Organisation for Scientific Research NWO. Following her promotion to an associate professorship, the university was awarded a premium worth 200,000 euros. € 50,000 of the premium is used to fund the university’s structural diversity policy while the remaining sum is used to support Van Deun's research.
Jelte Wicherts: European Research Council (ERC)
With this €2 million grant, Jelte Wicherts and his colleagues will investigate, refine, and develop innovative methodological and statistical tools that help to make research at different levels –from individual test results to meta-analyses- stronger, more efficient and more useful.
Michèle Nuijten: Leamer-Rosenthal prize for Open Social Science
This award is an initiative of the Berkeley Initiative for Transparency in the Social Sciences (BITSS), and comes with a cash prize of $10,000.
Statcheck is an R package to extract statistical results from scientific articles and recalculate p-values, and offers a concrete tool for researchers to check their own work before submitting it, and for journals to detect misreported statistics during peer review.
The Leamer-Rosenthal prize was created to reward those driving change in social science research by educating others, developing tools to facilitate openness, and carrying out transparent and reproducible science themselves.
Chris Hartgerink: R2RC "Next generation leadership award"
At OpenCon 2016 in Washington D.C., Chris Hartgerink was awarded the Right to Research Coalition (R2RC) "Next Generation Leadership Award". His prize was announced by European Commissioner for Science, Carlos Moedas, who lauded him for his "tireless work on open access" and stated that "he is a worthy recipient of the R2RC next generation leadership award for 2016."
US Office of Research Integrity grant for research on detecting data fabrication
Chris Hartgerink (main applicant), Jelte Wicherts, and Marcel van Assen have been awarded $100,000 by the US federal government to conduct research into how valuable statistical tools are to detect data fabrication. The entire research proposal was published upon submission of the grant application, in the spirit of Open Science and to allow for feedback on the research plans. The grant funds their research during the academic year 2016-2017.
Robbie van Aert (main applicant) SSMART grant
"Getting it Right with Meta-Analysis: Correcting Effect Sizes for Publication Bias in Meta-Analyses from Psychology and Medicine", Social Science Meta-Analysis and Research Transparency (SSMART) grant of $30,000.