Ralph Rippe
Associate professor
- Name
- Dr. R.C.A. Rippe
- Telephone
- +31 71 527 3889
- rrippe@fsw.leidenuniv.nl
- ORCID iD
- 0000-0002-0812-0387
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.
More information about Ralph Rippe
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.
Furthermore, he currently chairs a team of methodologists and statisticians (holding a PhD) that research 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.
He has published over 40 articles, among which both first-, last- and co-authorships in high-impact journals. Furthermore, he has international collaborations with researchers in Germany, the UK and the USA. He currently appointed as visiting researcher with the Deutsches Herzzentrum Berlin, department of Kinderkardiologie (with prof. Schmitt and dr. Ferentzi), from November 2022 to August 2024.
Research
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.
Interests lie in studies of 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, Multilevel Models, Component Analysis, Factor Analysis, Missing Data and Imputation.
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
Associate professor
- Faculteit der Sociale Wetenschappen
- Instituut Pedagogische Wetenschappen
- Onderzoeksmethoden en statistiek
- Penfornis K.M., Gebhardt W.A., Rippe R.C.A., Van Laar C., van den Putte. B. & Meijer E. (2023), My future-self has (not) quit smoking: An experimental study into the effect of a future-self intervention on smoking-related self-identity constructs, Social Science & Medicine 320: 115667.
- Asdonk S. van der, Kesarlal A.R., Schuengel C., Draaisma N., Roos C. de, Zuidgeest K., Rippe R.C.A. & Alink L.R. A. (2022), Testing an attachment- and trauma-informed intervention approach for parents and young children after interparental violence: protocol for a randomized controlled trial, Trials 23: 1-19 (973).
- Becker J.M., Holle H., Ryckeghem D.M.L. van, Damme S. van, Crombez G., Veldhuijzen D.S., Evers A.W.M., Rippe R.C.A. & Laarhoven A.I.M. van (2022), No preconscious attentional bias towards itch in healthy individuals, PLoS ONE 17: 1-17 (0273581).
- Girch A., Rippe R.C.A., Latour J.M., Jönebratt Stocker M., Blendermann M., Hoffmann K., Heppner H., Berger F., Schmitt K.R.L. & Ferentzi H. (2022), The German EMPATHIC-30 questionnaire showed reliability and convergent validity for use in an intermediary/general pediatric cardiology unit: a psychometric evaluation, Frontiers in Cardiovascular Medicine 9: 901260.
- Andeweg S.M.', Bodrij F.F., Prevoo M.J.L., Rippe R.C.A. & Alink L.R.A. (2022), Reducing household chaos to improve parenting quality? : An RCT, Journal of Applied Developmental Psychology 80: 101398.
- Espin C.A., Liende M. van der, Van den Bosch R.M., Rippe R.C.A., Beutick M., Langa A. & Mol S.E. (2021), CBM professional development: are teachers getting enough instruction on Data-Based Decision Making? . .
- Merkelbach I., Plak R.D., Sikkema M.T & Rippe R.C.A. (2022), Differential efficacy of digital scaffolding of numeracy skills in kindergartners with mild perinatal aversitiess, Frontiers in Education 7: 1-12 (709809).
- Vliet M.S. van, Mesman J., Schultink J.M., Vries J.H.M. de, Vereijken C.M.J.L., Rippe R.C.A. & Veek S.M.C. van der (2021), Baby's first bites: association between observed maternal feeding behavior and infant vegetable intake and liking, Appetite 165: 105316.
- Bodrij F.F., Andeweg S.M., Prevoo M.J.L., Rippe R.C.A. & Alink L.R.A. (2021), The causal effect of household chaos on stress and caregiving: an experimental study, Comprehensive Psychoneuroendocrinology 8: 100090.
- Ferentzi H., Rippe R.C.A., Latour J.M., Schubert S., Girch A., Jönebratt Stocker M., Pfitzer C., Photiadis J., Sandica E., Berger F. & Schmitt. K.R.L. (2021), Family-centered care at pediatric cardiac intensive care units in Germany and the relationship with parent and infant well-being: a study protocol, Frontiers in Pediatrics 9: 666904.
- Espin C.A., Bosch R.M. van den, Liende M. van der, Rippe R.C.A., Beutick M., Langa A. & Mol S.E (2021), A systematic review of CBM professional development materials: are teachers receiving sufficient instruction in data-based decision-making?, Journal of Learning Disabilities 54(4): 256-268.
- Antunes Toscano C., Soares I., Baptista J., Moutinho V., Rippe R.C.A. & Mesman J. (2021), Maternal and paternal overprotection of children born preterm: relations to child and parental factors, Journal of Family Psychology : .
- Rippe R.C.A. & Merkelbach I. (2021), Planned missing data in early literacy interventions: a replication study with an additional gold standard, PLoS ONE 16(3): e0249175.
- Smits R.M., Veldhuijzen D.S., Olde Hartman T.: Peerdeman K.J., Van Vliet L.M.: Van Middendorp H., Rippe R.C.A., Wulffraat. N.M. & Evers A.W.M. (2021), Explaining placebo effects in an online survey study: does ‘Pavlov’ ring a bell?, PLoS ONE 16(3): e0247103.
- Hoefnagel L.H., Espin C. A. & Rippe R.C.A. (2021), CBM language measures as indicators of foreign-language learning: technical adequacy of scores for secondary-school students, Journal of the International Academy for Research in Learning Disabilities 5(1): 42-57.
- Thakkar N., Geel M. van, Malda M., Rippe R.C.A. & Vedder P.H. (2021), Body mass index and peer victimization: a transactional model, Aggressive Behavior 47(2): 236-246.
- Boer A.W. de, Blom J.W., Waal M.W.M. de, Rippe R.C.A., Koning E.J.P. de, Jazet I.M., Rosendaal F.R., Heijer M. den, Numans M.E. & Mutsert R. de (2020), Coded diagnoses from general practice electronic health records are a feasible and valid alternative to self-report to define diabetes cases in research, Primary Care Diabetes : .
- Andeweg S.M., Bodrij F.F., Prevoo M.J.L., Rippe R.C.A. & Alink L.R.A. (2020), Does sensory-processing sensitivity moderate the effect of household chaos on caregiver sensitivity? an experimental design, Journal of Family Psychology : .
- Andeweg S.M., Bodrij F.F., Prevoo M.J.L., Rippe R.C.A. & Alink L.R.A. (2021), Does sensory-processing sensitivity moderate the effect of household chaos on caregiver sensitivity?: An experimental design, Journal of Family Psychology 35(3): 356-365.
- Asdonk S. van der, Haan W.D. de, Berkel S.R. van, IJzendoorn M.H. van, Rippe R.C.A., Schuengel C., Kuiper C., Lindauer R.J.L., Overbeek M. & Alink L.R.A. (2020), Effectiveness of an attachment-based intervention for the assessment of parenting capacities in maltreating families: a randomized controlled trial, Infant Mental Health Journal 41(6): 821-835.
- Huffmeijer R., Barak-Levy Y. & Rippe R.C.A. (2020), Attractiveness and neural processing of infant faces: Effects of a facial abnormality but not dopamine, Physiology and Behavior 222: 112937.
- Thakkar N., Van Geel M., Malda M., Rippe R. & Vedder P.H. (2020), Bullying and psychopathic traits: A longitudinal study with adolescents in India, Psychology of Violence 10(2): 223-231.
- Schoemaker N.K., Juffer F., Rippe R.C.A., Vermeer H.J., Stoltenborgh M., Jagersma G.J., Maras A. & Alink L.R.A/ (2020), Positive parenting in foster care: testing the effectiveness of a Video-feedback Intervention program on foster parents' behavior and attitudes, Children and Youth Services Review 110: 104779.
- Vossen T E., Henze I., Rippe R.C.A., Driel J.H. van & Vries M.J. de (2019), Attitudes of secondary school STEM teachers towards supervising research and design activities, Research in Science Education 51: 891-911.
- Vossen T.E., Henze I., Rippe R.C.A., Van Driel J.H. & De Vries M.J. (2019), Attitudes of Secondary School STEM Teachers towards Supervising Research and Design Activities, Research in Science Education : e2244.
- De Hei M., Tabacaru C., Sjoer E., Rippe R. & Walenkamp J. (2020), Developing intercultural competence through collaborative learning in international higher education, Journal of Studies in International Education 24(2): 190-211.
- Ginkel J.R. van, Linting M., Rippe R.C.A. & Voort A. van der (2020), Rebutting existing misconceptions about multiple imputation as a method for handling missing data, Journal of Personality Assessment 102(3): 297-308 .
- Espin C.A., Bosch R.M. van den, Saab N., Chung S., Rippe R.C.A., Pat-El R., Beutick M. & Langa A. (2019), Data-based decision-making for students with learning problems: Why is it so difficult?. Vlaams-Nederlandse Interacademiale Leerproblemen 24 May 2019 - 24 May 2019.
- Camfferman R., Van der Veek S.M.C., Rippe R.C.A. & Mesman J. (2019), Maternal feeding practices, health cognitions, and children's eating styles and weight status, Journal of Developmental and Behavioral Pediatrics 40(2): 122-130.
- Espin C.A., Beutick M., Van den Bosch R., Langa A. & Rippe R. (2019), Teachers' difficulty in using CBM data for decision-making: Are they failing or are we? 27th Annual Pacific Coast Research Conference, San Diego. 27th Annual Pacific Coast Research Conference (PCRC) 21 February 2019 - 23 February 2019.
- Vossen T.E., Henze I., Rippe R.C.A., Driel J.H. van & Vries M.J. de (2018), Attitudes of secondary school students towards doing research and design activities, International Journal of Science Education 40(13): 1629-1652.
- Huffmeijer R., Eilander J., Mileva-Seitz V.R. & Rippe R.C.A. (2018), Changes in face-specific neural processing explain reduced cuteness and approachability of infants with Cleft lip, Social Neuroscience 13(4): 439-450.
- Merkelbach I., Plak R.D. & Rippe R.C.A. (2018), Reproducibility of young learners' susceptibility to the learning context, Learning and Individual Differences 65: 167-175.
- Windhorst D.A., Rippe R.C.A., Mileva-Seitz V.R., Verhulst F.C., Jaddoe V.W.V., Noppe G., Van Rossum E.F.C., Van den Akker E.L.T., Tiemeier H., Van IJzendoorn M.H. & Bakermans-Kranenburg M.J. (2017), Mild perinatal adversities moderate the association between maternal harsh parenting and hair cortisol: Evidence for differential susceptibility, Developmental Psychobiology 59(3): 324-337.
- Camfferman R., Jansen P.W., Rippe R.C.A., Mesman J., Derks I.P.M., Tiemeier H., Jaddoe V. & Van der Veek S.M.C. (2016), The association between overweight and internalizing and externalizing behavior in early childhood, Social Science & Medicine 168: 35-42.
- Windhorst D.A., Mileva V.R., Rippe R.C.A., Tiemeier H., Jaddoe V.W.V., Verhulst F.C., IJzendoorn M.H. van & Bakermans M.J. (2016), Beyond main effects of gene-sets: Harsh parenting moderates the association between a dopamine gene-set and child externalizing behavior, Brain and Behavior 6(8): e00498.
- Rippe R.C.A., Noppe G., Windhorst D.A., Tiemeier H., Van Rossum E.F.C., Jaddoe V.W.V., Verhulst F.C., Bakermans-Kranenburg M.J., Van Ijzendoorn M.H. & Van den Akker E.L.T. (2016), Splitting hair for cortisol? Associations of socio-economic status, ethnicity, hair color, gender and other child characteristics with hair cortisol and cortisone, Psychoneuroendocrinology 66: 56-64.
- Rijlaarsdam J., Pappa I., Walton E., Bakermans-Kranenburg M.J., Mileva-Seitz V.R., Rippe R.C.A., Roza S.J., Jaddoe V.W.V., Verhulst F.C., Felix J.F., Cecil C.A.M., Relton C.L., Gaunt T.R., McArdle W., Mill J., Barker E.D., Tiemeier H. & Van IJzendoorn M.H. (2016), An epigenome-wide association meta-analysis of prenatal maternal stress in neonates: A model approach for replication, Epigenetics 11(2): 140-149.
- Camfferman R., Van der Veek S.M.C., Rippe R.C.A. & Mesman J. (2016), Eating styles and adiposity in 4-6 year-olds: Do maternal feeding practices and health cognitions matter?. 26th European Childhood Obesity Group (ECOG) Congress 6 October 2016 - 8 October 2016.
- Pappa I., Fedko I.O., Mileva-Seitz V.R., Hottenga J., Bakermans-Kranenburg M.J., Bartels M., Van Beijsterveldt C.E.M., Jaddoe V.W.V., Middeldorp C.M., Rippe R.C.A., Rivadeneira F., Tiemeier H., Verhulst F.C., Van IJzendoorn M.H. & Boomsma D.I. (2015), Single nucleotide polymorphism heritabiliiy of behavior problems in childhood: Genome-wide complex trait analysis, Journal of the American Academy of Child and Adolescent Psychiatry 54(9): 737-744.
- Gast K.B., Smit J.W.A., Den Heijer M., Middeldorp S., Rippe R.C.A., Le Cessie S., De Koning E.J.P., Jukema J.W., Rabelink T.J., De Roos A., Rosendaal F.R. & De Mutsert R. (2013), Abdominal adiposity largely explains associations between insulin resistance, hyperglycemia and subclinical atherosclerosis: The NEO study, Atherosclerosis 229(2): 423-429.
- Rippe R.C.A., Den Heijer M. & Le Cessie S. (2013), Rekenen met ontbrekende gegevens, Nederlands Tijdschrift voor Geneeskunde 157(A5539): 1-5.
- Rippe R.C.A. (13 November 2012), Advanced statistical tools for SNP arrays : signal calibration, copy number estimation and single array genotyping (Dissertatie. Psychology, Faculty of Social and Behavioural Sciences, Leiden University). Supervisor(s): Meulman J.J. & Eilers P.H.C.
- Rippe R.C.A., Meulman J.J. & Eilers P.H. (2012), Correction of fluorescence bias on Affymetrix genotyping microarrays, Journal of Chemometrics 26(5): 191-196.
- Rippe R.C.A., Meulman J.J. & Eilers P.H. (2012), Reliable single chip genotyping with semi-parametric log-concave mixtures, PLoS ONE 7(10): .
- Rippe R.C.A., Meulman J.J. & Eilers P.H. (2012), Visualization of genomic changes by segmented smoothing using an L0 penalty, PLoS ONE 7(6): .
- Rippe R.C.A. & Eilers P.H.C. (2011), Segmented smoothing with an LO penalty, Proceedings of the international workshop on statistical modeling 2011. International workshop on statistical modeling 2011.
- Rippe R.C.A., Eilers P.H.C., French P.J. & Meulman J.J. (2009), Improving SNP genotyping by model-based calibration. In: Booth J.G. (Ed.), Proceedings of the 24th International Workshop on Statistical Modelling 306-313.
- Rippe R.C.A., Eilers P.H.C., French P.J. & Meulman J.J. (2009), Improving SNP genotyping by model-based calibration. [other].
- Rippe R.C.A., Eilers P.H.C. & Meulman J.J. (2009), Improving SNP genotyping by model-based correction. [other].
- Rippe R.C.A., Eilers P.H.C. & Meulman J.J. (2009), Improving SNP genotyping by model-based data correction. [other].
- Rippe R.C.A. (2009), Functie bij : IOPS. [other].
- Rippe R.C.A., Eilers P.H.C. & Meulman J.J. (7 July 2008), Models for fluorescence Signals on SNP Arrays. 23rd International Workshop on Statistical Modelling. Utrecht, Netherlands. [lecture].
- Rippe R.C.A. (2008), SCALA. R-rogram for modelling SNP data. [other].
- Rippe R.C.A., Eilers P.H.C. & Meulman J.J. (12 December 2007), Nonlinear modeling of high volume biological datasets. 17th IOPS winter conference. Groningen. [lecture].
- Rippe R.C.A., Eilers P.H.C. & Meulman J.J. (10 July 2007), Predicting fluorescence intensities of SNP arrays in DNA data. 15th International Meeting of the Psychometric Society. Tokyo, Japan. [lecture].
- Adviseur voor inrichting meerjarig design en instrument voor onderzoek (www.reunistenonderzoek.nl/)
- Advisering en (administratieve) ondersteuning van privepersonen en/of stichtingen