Julian Karch
Assistant professor
- Name
- Dr. J.D. Karch
- Telephone
- +31 71 527 3493
- j.d.karch@fsw.leidenuniv.nl
- ORCID iD
- 0000-0002-1625-2822
Short CV
Julian Karch is Assistant Professor (UD) at the unit Methodology & Statistics of the Institute of Psychology at Leiden University. His main research interests are the adaptation and application of statistical learning methods to the challenges of psychological data analysis. He teaches statistical courses for the psychological masters and the statistical science master.
Julian obtained his Diploma in Computer Science with a focus on statistical learning and data science in 2012 from the Free University of Berlin. He then proceeded to do his PhD in Quantitative Psychology at the Max Planck Institute for Human Development in Berlin. During this time, he was also an adjunct researcher of the Methodology unit of the Institute of Psychology at the Humboldt University of Berlin. In 2016, he defended his PhD thesis (summa cum laude) entitled “A Machine Learning Perspective on Repeated Measures: Gaussian Process Panel and Person-Specific EEG Modeling”. Afterwards, he continued as a postdoctoral researcher at the Max Planck Institute for Human Development. As part of his master and PhD theses, Julian also worked at the Quantitative Psychology unit of the University of Virginia and the Wellcome Trust Centre for Neuroimaging at the University College London.
Awards
- Best Research Proposal Award, MPS/UCL Symposium on Computational Psychiatry and Aging, 2016
Relevant links
Assistant professor
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Ginkel J.R. van & Karch J.D. (2024), A comparison of different measures of the proportion of explained variance in multiply imputed data sets, British Journal of Mathematical and Statistical Psychology : .
- Karacaoglu M., Peerdeman K.J., Karch J.D., van Middendorp H. & Evers EW.M. (2024), Nocebo hyperalgesia and other expectancy-related factors in daily fibromyalgia pain: combining experimental and electronic diary methods, Journal of Psychosomatic Research 182: 111676.
- Carlier C., Karch J.D., Kuppens P. & Ceulemans E. (2024), A Comparison of measures for assessing profile similarity in Dyads, Psychologica Belgica 64(1): 72–84.
- Karch D.J., Perez-Alonso F. A. & Bergsma P.W. (2024), Beyond Pearson’s correlation: modern nonparametric independence tests for psychological research, Multivariate Behavioral Research 59(5): 957-977.
- Rahbari L. & Karch J.D. (2024), Dual nationality, anti‐citizenship, and xeno‐racism: online tropes on migrant (in)gratitude, and (in)adequate Britishness of Nazanin Zaghari‐Ratcliffe, The British Journal of Sociology : .
- Chen J., Bos E. van den, Karch J.D. & Westenberg P.M. (2023), Social anxiety is related to reduced face gaze during a naturalistic social interaction, Anxiety, Stress & Coping 36(4): 460-474.
- Pratiwi Bunga C., Dusseldorp E., Karch J.D. & de Rooij M. (2023), Predictive performance of psychological tests: is it better to use items than subscales?, Computational Statistics & Data Analysis 185: 107767.
- Blythe J.S., Peerdeman K.J., Veldhuijzen D.S. Karch, J.D. & Evers A.W.M. (2023), Electrophysiological markers for anticipatory processing of nocebo-augmented pain, PLoS ONE 18: e0288968.
- Baljé E. Astrid Karch D. Julian Greeven Anja Giezen van E. Anne Muste H. Eelco Arntz Arnoud Spinhoven Philip (2023), Avoidant Personality Disorder Severity Index: Dimensional structure and psychometric properties, Personality and Individual Differences : .
- Karch J.D. (2023), Outliers may not be automatically removed, Journal of Experimental Psychology: General 152(6): 1735–1753.
- Karch J.D. (2023), bmtest: a Jamovi module for Brunner–Munzel’s test: a robust alternative to Wilcoxon–Mann–Whitney’s test, Psych 5(2): 386-395.
- Kloos K., Meertens Q.A. & Karch J.D. (2022), UniLeiden at LeQua 2022: the first step in understanding the behaviour of the median sweep quantifier using continuous sweep, Working notes of the 2022 conference and labs of the evaluation forum (CLEF 2022), Bologna, Italy. CLEF 2022: Conference and Labs of the Evaluation Forum 5 September 2022 - 8 September 2022.
- De Rooij M.J., Karch J.D., Fokkema M., Bakk Z., Pratiwi B.C. & Kelderman H. (2022), SEM-based out-of-sample predictions, Structural Equation Modeling: A Multidisciplinary Journal : 1-17.
- Kloos K., Meertens Q., Scholtus S. & Karch J.D. (2021), Comparing correction methods to reduce misclassification bias. Baratchi M., Cao L., Kosters W.A, Lijffijt J., Rijn J.N. & Takes F.W. (Eds.), Artificial Intelligence and Machine Learning: 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers. BNAIC/Benelearn 2020 19 November 2020 - 20 November 2020: Springer International Publishing AG. 64-90.
- Karch J.D. (2021), Psychologists should use Brunner-Munzel’s instead of Mann-Whitney’s U test as the default nonparametric procedure, Advances in Methods and Practices in Psychological Science 4(2): 1-14.
- Karch J.D., Brandmaier A.M. & Voelkle M.C. (2020), Gaussian process panel modeling—machine learning inspired analysis of longitudinal panel data, Frontiers in Psychology 11: 351.
- Karch J.D. (2020), Improving on adjusted R-squared, Collabra: Psychology 6(1): 45.
- Karch J.D., Fivelich E., Wenger E., Lisofski N., Becker M., Butler O., Martenson J., Lindenberger U.L., Brandmaier A.M. & Kühn S. (2019), Identifying predictors of within-person variance in MRI-based brain volume estimates, NeuroImage 200: 575-589.
- Karch JD (10 October 2016), A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling (Dissertatie. Psychology, Lebenswissenschaftliche Fakulät, Humboldt Unversity of Berlin): Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät. Supervisor(s): Brandmaier A. & Völkle M.
- Karch J.D., Sander M.C., Von Oertzen T., Brandmaier A.M. & Werkle-Bergner M. (2015), Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance, NeuroImage 118: 538-552.