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Workshops​​​​​​​​​​​​​​​​

PREVENTING AND HANDLING MISSING DATA IN EXPERIENCE SAMPLING STUDIES

  • Authors and Affiliations

    Yong Zhang, Laura F. Bringmann,

    Department Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen, the Netherlands

  • Half-day or Full-day

    Half-day

  • Level

    Beginner

  • Required Prior Knowledge

    Prior experiences in m-Path and R are recommended but not required.

  • Target Audience

    Researchers, clinicians, and students

  • Maximum Number of Participants

    25

  • About the Authors

    Yong Zhang is a PhD candidate at Department of Psychometrics and Statistics, University of Groningen, supervised by prof. dr. Laura Bringmann. Yong and Laura are aspiring methodologists who work on improving the measurement and data analytics in experience sampling methodologies (ESM), and are both troubled and fascinated by the missing data. Combining qualitative and quantitative methodologies, Yong and Laura are passionate about understanding the causal mechanism of ESM missing data and developing methods for tackling them.

STATE SPACE GRIDS: THEORY, APPLICATIONS, AND HANDS-ON PRACTICE

  • Authors and Affiliations

    Vrijen C., Van der Giessen D., Onderstijn T.G., Van Dijk M.W.G.

  • Half-day or Full-day

    Half-day

  • Level

    Beginner

    (Workshop can accommodate beginners, intermediates and advanced participants)

  • Required Prior Knowledge

    No prior experience with state space grids is required, although familiarity with behavioral observation methods is advantageous

  • Target Audience

    Researchers, clinicians, and students

  • Maximum Number of Participants

    20

  • About the Authors

    Charlotte Vrijen is an assistant professor in Developmental Psychology at the University of Groningen. She studies positive bias—the tendency to focus more on positive than on negative information. Her research examines how positive bias develops and includes the role of genes and parenting. She uses State Space Grid analyses to study parent–child interactions. Daniëlle van der Giessen is an assistant professor at the Research Institute of Child Development and Education, University of Amsterdam. Her research focuses on behavioral and emotional processes in parent-child interactions, their associations with children’s socio-emotional functioning, and changes following parenting interventions and CBT. She uses State Space Grid analysis. Tycho Onderstijn is a PhD candidate in Special Needs Education at the University of Groningen. His research focuses on teacher-student dynamics and creative problem solving during STEM lessons in typically developing and gifted students. He uses State Space Grid analysis and other complex systems methods to investigate these processes. Marijn van Dijk is Professor of Special Needs Education at the University of Groningen. Her research examines the processes underlying learning and development in children. Using process-oriented and complex systems approaches, she investigates parent-child interactions during feeding and distress, as well as language development and teacher-child dynamics.

FROM TEXT TO ACTION: AN R WORKSHOP ON LARGE LANGUAGE MODELS FOR EXPERIENCE SAMPLING DATA

  • Authors and Affiliations

    I.L. Mertins (presenting author), F. Petersen (presenting author), L.F. Bringmann

    Department Psychometrics and Statistics, Faculty of Behavioural and Social Sciences, University of Groningen, the Netherlands

  • Half-day or Full-day

    Half-day

  • Level

    Beginner

  • Required Prior Knowledge

    No prior LLMs/ NLP experience is required; basic familiarity with R is helpfull

  • Target Audience

    ESM researchers, students and clinicians from the fields of psychology and the social sciences

  • Maximum Number of Participants

    20

  • About the Authors

    Isabel Mertins is a PhD candidate in Statistics & Psychometrics at the University of Groningen’s Faculty of Behavioural and Social Sciences, trained in longitudinal data analysis and psychological methods. Her research explores how Artificial Intelligence tools can revolutionize textual data analysis and Experience Sampling Methodologies (ESM), and how to make moment-to-moment predictions using time series and machine learning to understand individual differences. Her work aims to advance personalized, data-driven insights in behavioural science. Co-host Fridtjof Petersen combines Biostatistics and Psychological Methods in his PhD. He focuses on jointly modelling and predicting intensive longitudinal data and health outcomes, and on using LLMs for dynamic testing in ESM.

DESIGNING AND EVALUATING GROUPED AND CLUSTERED INTERVENTIONS WITHIN A SINGLE-CASE EXPERIMENTAL DESIGN FRAMEWORK

  • Authors and Affiliations

    van der Voort, A., Wilbert, J.

  • Half-day or Full-day

    Full day

  • Level

    Beginners

  • Required Prior Knowledge

    Beginners in grouped and clustered SCEDs, but participants should have basic knowledge of SCED. Familiarity with R and RStudio is preferred

  • Target Audience

    Researchers, clinicians and students who want to learn how to design and analyze grouped and clustered SCEDs

  • Maximum Number of Participants

    30

  • About the Authors

    Jürgen Wilbert is Professor of Special Education for Learning Disorders at the University of Münster. His research focuses on learning difficulties, educational assessment, social participation, and quantitative methods in inclusive education. His work focusses on developing models of diagnostic assessment that bridge the gap between assessment and instruction. He is also the developer of the R packages scan and scplot, which provide tools for analysing single-case data. Previously, he was Professor of Research Methods and Diagnostics at the University of Potsdam.

    Anja van der Voort is Associate Professor of Idiographic Research Methods in Education and Child Studies at Leiden University. As a methodologist, she is involved in studies evaluating intervention effectiveness using Single-Case Experimental Designs. She advises researchers throughout the research process and is particularly interested in the practical and methodological challenges of SCEDs, as well as in qualitative approaches to understanding individual processes and change. These interests are also reflected in a special issue she is editing for Youth: Methodological Approaches and Practical Challenges in Idiographic Research on Youth Interventions.

CAN WE TRUST THE SCORES IN ESM STUDIES? ESTIMATING THE RELIABILITY OF ESM DATA

  • Authors and Affiliations

    Castro-Alvarez S.

    Bringmann L.F.

  • Half-day or Full-day

    Half-day

  • Level

    Intermediate

  • Required Prior Knowledge

    Basic knowledge of R required

  • Target Audience

    researchers and students who work with ESM

  • Maximum Number of Participants

    20

  • About the Authors

    Sebastian Castro-Alvarez is a postdoctoral researcher at the Faculty of Behavioural and Social Sciences at the University of Groningen. Previously, he completed his PhD in measurement models for intensive longitudinal data in 2022 at the University of Groningen and worked as a postdoctoral researcher at the University of California, Davis. His research focuses on the use of factor models and item response theory to study the psychometrics of time series data in psychology. In one of his most recent publications, he provided an extensive overview of different approaches for estimating the reliability of intensive longitudinal data.

DESIGN, ANALYSIS, AND SYNTHESIS OF SINGLE-CASE EXPERIMENTS: A WORKSHOP FOR APPLIED RESEARCHERS

  • Authors and Affiliations

    Wendt O., Moeyaert M., Schlosser R.W.

  • Half-day or Full-day

    Full-day

  • Level

    Beginner/intermediate

  • Required Prior Knowledge

    The workshop may serve as a foundation for more advanced topics during the main conference.

  • Target Audience

    Applied researchers in education, disability, health sciences, psychology, and rehabilitation

  • Maximum Number of Participants

    50

  • About the Authors

    Oliver Wendt is Professor and Chair of Cognitive and Emotional Disabilities at the University of Potsdam. He holds concurrent appointments as Kontos Faculty Scholar at Purdue University, Research Affiliate at the University of Pretoria, and Chief Science Officer at SPEAK Abilities, LLP. An editor for both the Journal of Developmental and Physical Disabilities and the Journal of Speech, Language, and Hearing Research, he has served as Principal Investigator on more than 10 externally funded SCED projects (e.g., National Institutes of Health, Organization for Autism Research). Dr. Wendt is also a Fellow of the American Speech-Language-Hearing Association.

    Mariola Moeyaert is an Associate Professor in the Division of Educational Psychology and Methodology at the University at Albany. Dr. Moeyaert successfully completed two IES funded grants related to analysis and meta-analysis of SCEDs, served as statistical consultant on more than 10 externally funded grants (e.g., IES, NIH, HRSA, and Foundation for Child Development) and is currently PI on an IES grant related to causal mediation for SCEDs

    Ralf Schlosser is Director of Schlosser Consulting LLC, Research Design Consultant for the Augmentative Communication Program at Boston Children’s Hospital, and Professor Emeritus of Communication Sciences and Disorders at Northeastern University. He is also Extraordinary Professor at the University of Pretoria. Ralf co-authored “Single-case experimental designs” (German book by Hogrefe Publishers) as well as a tool to appraise the quality of comparative SCEDs. Ralf has published ~115 peer-reviewed journal articles in augmentative and alternative communication, assistive technology, and evidence-based practice. He is the founding editor and current co-editor of Evidence-based Communication Assessment and Intervention.

ESTIMATING INDIVIDUALIZED MEDIATION EFFECTS USING SINGLE-CASE EXPERIMENTAL DESIGNS

  • Authors and Affiliations

    Moeyaert M., Miočević M., Valente, M. J.

  • Half-day or Full-day

    Half-day

  • Level

    Advanced

  • Required Prior Knowledge

    Prior knowledge of SCEDs, linear regression analysis, the principles of statistical inference are required. Prior knowledge of running linear regression analysis in RStudio is an advantage.

  • Target Audience

    applied single-case experimental design (SCED) researchers interested in estimating individualized mediation effects using SCEDs

  • Maximum Number of Participants

    30

  • About the Authors

    Dr. Mariola Moeyaert is an Associate Professor in the Division of Educational Psychology and Methodology at the University at Albany. Dr. Moeyaert successfully completed two IES funded grants related to analysis and meta-analysis of SCEDs, served as statistical consultant on more than 10 externally funded grants (e.g., IES, NIH, HRSA, and Foundation for Child Development) and is currently PI on an IES grant related to causal mediation for SCEDs

    Dr. Milica Miočević is an Associate Professor in the Department of Psychology at McGill University er research centers on Bayesian methods and statistical mediation analysis as applied in the social, health, and behavioral sciences and has been funded by the European Commission, the Institute of Educational Sciences, the Social Sciences and Humanities Research Council, and the Natural Sciences and Engineering Research Council of Canada. She was a Marie Curie fellow, and she currently holds a William Dawson fellowship. 

    Dr. Matthew Valente is an Associate Professor in Biostatistics and Data Science with expertise in statistical mediation and causal inference methods. He is currently a Principal Investigator on an Institute of Education Sciences (IES) grant titled “Methods for Synthesizing Causal Mediation Effects in Single Case Experimental Design Data” and a Co-Investigator on IES grant titled “Interventions for English Language Learners at Risk for ADHD”.

FROM ASSESSMENT TO PERSONALIZED CARE: INDIVIDUALIZED DIARY MONITORING IN PSYCHIATRY

  • Authors and Affiliations

    Servaas M., Paulos Guarnieri L., Riese H.

  • Half-day or Full-day

    Half-day

  • Level

    Beginner

  • Required Prior Knowledge

    None

  • Target Audience

    Clinicians and others

  • Maximum Number of Participants

    20

  • About the Authors

    Michelle Servaas is a licensed healthcare psychologist and senior researcher at the Department of Psychiatry, University Medical Center Groningen (UMCG). Her research focuses on psychological and neurobiological processes involved in depression and schizophrenia, with interests in personality, cognition, motivation, and digital mental health interventions. She also provides clinical care for patients with depression.

    Michelle Schmitter is a postdoctoral researcher and expert in exercise therapy, with a particular interest in adapting interventions to individual needs, including women’s specific health needs. Her research aims to bridge the gap between scientific knowledge and clinical practice to improve mental health outcomes through personalized care.

    Harriëtte Riese is an associate professor and expert in daily life monitoring such as digital diaries and actigraphy, with a particular interest in the clinical implementation into mental health care of innovations arising from her research. She also has a background in psychophysiology and epidemiology.

NOVEL METHODS TO EVALUATE SINGLE-CASE DATA: BAYESIAN AND INFORMATION CRITERIA EVALUATION OF INFORMATIVE HYPOTHESES

  • Authors and Affiliations

    Orizzonte G., Jurewicz J., Hoijtink, H.

  • Half-day or Full-day

    Half-day

  • Level

    Beginners and more experienced

  • Required Prior Knowledge

    Beginners who previously conducted analyses in SPSS/JASP. More experienced attendees can also benefit from the hands-on section, during which participants practice the analyses in JASP or R on their laptop (independently or as a small group).

  • Target Audience

    Researchers and clinicians

  • Maximum Number of Participants

    40

  • About the Authors

    Giuliana Orizzonte is a PhD Candidate at the Methods, Statistics & Data Science department of Utrecht University. Her research focuses the development of a hypothesis evaluation framework for single-case studies that is both statistically sound and easily accessible to clinicians. Her expertise is in informative hypothesis evaluation methods, Bayesian statistics, and quantitative analysis of single-case data.

    Jagoda Jurewicz works at the Clinical Psychology department of Utrecht University as a PhD candidate and at ARQ National Psychotrauma Centre as a psychologist. Her expertise lies in innovative trauma treatments and applying hypothesis evaluation methods to specific clinical and research scenarios.

    Herbert Hoijtink holds a chair in Applied Bayesian Statistics at Utrecht University. His main research interest is the evaluation of Informative Hypotheses. These are hypotheses constructed using (in)equality constraints among the parameters of interest. A simple example is three ordered means, Hi: mu1 > mu2 > mu3. Often informative hypotheses paint a more realistic picture of the state of affairs in a population expected by a researcher than the traditional null and alternative hypotheses.