Universiteit Leiden

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Ralph Rippe

Associate professor

Name
Dr. R.C.A. Rippe
Telephone
+31 71 527 3889
E-mail
rrippe@fsw.leidenuniv.nl
ORCID iD
0000-0002-0812-0387

Short CV

Ralph Rippe is a tenured Associate Professor at the Institute of Child and Education Studies, Leiden University and chair of the Research Methods and Statistics group. He obtained his MSc degree (cum laude) in Methodology and Statistics from Leiden University (2006), and his PhD degree in Genetical Statistics in Social Sciences in 2012.

Applied in a wide range of (inter)national collaborations, his main interests lie at the intersection of statistics and (any interdisciplinary) application in child education, child behavior and child health, mental health, curriculum development, child fostering evaluation and intervention efficacy.

For example, he is intrigued by how internal factors (e.g. genetics) and environment interplay in their influence on the stress children or families (have) experience(d), on how children form (inadequate) attachment bonds, how groups of at-risk children might benefit from early interventions on literacy and numeracy and how they form (un)healthy eating behaviors. As he works at the front of these research topics, new and unsolved statistical and design issues are encountered on a regular basis.

His main focus is on gaining insight into the combined effects of sample size, high signal-to-noise data (for example coded observations of behavioral data as well as self-reports), and skewed scales on estimation bias and Type I/II errors in complex models. Such models range from such as (within-subjects) interactions, mediation, multilevel models (observations nested within families, schools, day care centers, and clinics) and path analysis (for example group measurements on child abuse, obesity, bullying, eating behavior) over time, with time-dependent covariates.

Furthermore, he leads a group of methodologists and statisticians (holding a PhD) that provides consultation on the above as well as on (models for) categorical data and nonlinear approaches, meta-analysis and machine learning, case-series (N=1) in developmental or clinical designs and qualitative research designs, such as focus groups and semi-structured interviews.

In 2013, he was awarded a Young Scholarship grant (CHF 120,000), together with dr. Huffmeijer and dr. Mileva-Seitz, from the Jacobs Foundation to work on differential dopamine susceptibility. He was co-applicant in a successful application for another grant (CHF 80,000) together with dr. Pluess and dr. Rhoades on marital quality and within marriage genetics. In 2016 he received a LUF grant of 5,000 for retrospective fraternity effects and benefits. In 2017 he received a Wellcome Trust top-up grant of GBP 30,000. He has published over 20 articles, among which both first- and co-authorships in high-impact journals. Furthermore, he has international collaborations with researchers in Germany, the UK and the USA. 

CV Ralph Rippe (2020)

Research

Robustness, Skewness, Measurement Error, Differential Susceptibility (GxE interactions), Data Mining, Machine Learning, SNP genotyping and Copy Number estimation, Genome-Wide Association Studies (GWAS) and Statistical issues in obesity research, Missing Data and Imputation.

Teaching

  • Applied Multivariate Data Analysis
  • Classical and Modern Test Theory
  • Epidemiology & Causality
  • Basic statistics courses
  • Graduate School course on Meta-analysis
  • Graduate School course on Genetic Modeling
  • Graduate School course on Data Exploration and Visualization

Awards

  • Best Student Presentation (ISWM 2010)
  • Best Student Paper (IWSM 2009)
  • Best Poster (Channel Network Conference, 2009)

Grants

  • 2018: Wellcome Trust Grant (GBP 30,000) for collaboration with drs. Duschinsky and Reijman (Cambridge University)
  • 2016: LUF grant for fraternity research
  • 2013: Young Scholarship grant (CHF 120,000) joint main applicant - Jacobs Foundation
  • 2013: Young Scholarship grant (CHF 80,000) co-applicant - Jacobs Foundation

Relevant links

PhD candidates

  • Suzanne Andeweg (ongoing): 'Title unknown'
  • Fenne Bodrij (ongoing): 'Title unknown'
  • Inge Merkelbach (2018): 'Protective Teaching Mechanisms in Case of Mild Perinatal Adversity'
  • Roxanna Camfferman (2017): 'Happy Healthy Homes: The role of Parenting in Early Childhood Overweight'
  • Dafna Windhorst (2015): 'Differential Susceptibility to Parenting: Exploring new approaches'
  • Eirini Pappa (2015): ‘Genetics and Epigenetics of Children’s Behavior Problems’

Associate professor

  • Faculteit der Sociale Wetenschappen
  • Instituut Pedagogische Wetenschappen
  • Onderzoeksmethoden en statistiek

Work address

Pieter de la Court
Wassenaarseweg 52
2333 AK Leiden
Room number 4B19

Contact

Publications

  • STATvice Consultancy Advisering en (administratieve) ondersteuning van privepersonen en/of stichtingen
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