Monday 2019 April 22
16:00 – Participants arrive
20:00 – Welcome and ‘get-to-know-your-teachers’-drinks
Day 1 (Tuesday 2019 April 23)
|08:00||Session 1||Prof. Ian Rothmann
Prof. Rens van de Schoot
Prof. Todd Little
|=> Welcome + introducing speakers
=> Explain programme
=> Introducing SEM basics
|10:30||Session 2||Prof. Todd Little||Foundations of SEM and CFA|
|13:30||Session 3||Prof. Todd Little||Longitudinal SEM|
|15:00||Session 4||Prof. Todd Little||Measurement Invariane, parcelling and a short note on missing data|
|16:00||Game Drive or
work on data
with drinks from 18:30)
Day 2 (Wednesday 2019 April 24)
|08:00||Session 1||Prof. Rens van de Schoot||Lecture ‘From research question to statistical model’|
|10:30||Session 2||Break-out session||In small groups specify research questions and decide on statisical model|
|13:30||Session 3||Break-out session||In small groups specify research questions and decide on statisical model – results should be send to teachers|
|15:00||Session 4||Prof. Rens van de Schoot
Prof. Todd Little
|Lecture on RQs and statistical models proposed by participants|
|16:00||Game Drive or
work on data
|18:00||Cocktail consultations||Prof. Todd Little
Prof. Rens van de Schoot
|Get personal feedback/suggestions on how to run the models|
(might start with
drinks from 18:30)
Day 3 (Thursday 2019 April 25)
|08:00||Session 1||Prof. Rens van de Schoot||42 ways of getting significant results (and why you shouldn’t)|
|10:30||Session 2||Break-out sessions||Prepare syntax to run some models|
|13:30||Session 3||Break-out sessions||Run models|
|15:00||Session 4||Break-out sessions||Improve models / solve errors|
|17:00||Braai and Socialize|
Day 4 (Friday 2019 April 26)
|08:00||Session 1||Break-out sessions||Prepare 2-min pitch|
|10:30||Session 2||Prof. Todd Little
Prof. Rens van de Schoot
|Each participant presents results (2-min) and gets feedback how to proceed for after workshop|
Instructor: Todd D. Little Ph.D.
Todd D. Little, PhD is a Professor and director of the Institute for Measurement, Methodology, Analysis and Policy at Texas Tech University. He is widely recognized for his quantitative work on various aspects of applied SEM (e.g., modern missing data treatments, indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). His work has garnered over 29,388 citations with an h-index of 85 and an i10-index of 195. In 2001, he was elected to membership in the Society for Multivariate Experimental Psychology, and in 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics). He is a fellow in APA, APS, and AAAS. In 2013, he received the Cohen award from Division 5 of APA for distinguished contributions to teaching and mentoring and in 2015 he received the inaugural distinguished contributions award for mentoring developmental scientists from the Society for Research in Child Development. Both awards cited his founding of Stats Camp (Statscamp.org) in 2003 and its ongoing impact on shaping the quality of scientific inquiry for both past and future generations of researchers. Download CV (PDF)
Instructor: Ian Rothmann Ph.D.
Ian is a professor in Industrial/Organisational Psychology at the North-West University (Vanderbijlpark Campus). His research journey started with the topics of stress, burnout and work engagement and has evolved towards prospering and flourishing of people in work and organisational contexts. People who prosper in work and organisational contexts are satisfied with their jobs, experience positive emotions, are energetic, learning and dedicated, experience satisfaction of their autonomy, competence and relatedness needs, find meaning and purpose in their work, experience harmony and relate positively.
He researches the prospering of people at work, the antecedents and outcomes thereof, and intervention programmes that could contribute to prospering of individuals and organisations.
Instructor: Rens van de Schoot Ph.D.
Rens van de Schoot, Ph.D., is professor in Methods and Statistics at Utrecht University, the Netherlands and extra-ordinary professor at North-West University in South Africa. He teaches many Bayesian and Mplus courses all around the world. Areas of expertise include: multivariate analyses (regression, t-test, manova, etc.), multilevel analysis, structural equation modeling (e.g. CFA, LGM, and mediation), mixture modeling (e.g. LCA, LGMM, LCGA, and LTA) and machine learning. Areas of expertise exclude: time series, causal modeling (e.g., DAGs), network analyses and related techniques. www.rensvandeschoot.com
Co-Instructor: Mwarumba Mwavita Ph.D.
Mwarumba is the Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. In addition, he is an Assistant Professor in the Research, Evaluation, Measurement and Statistics (REMS) program in the School of Educational Studies (SES). He received his Bachelor’s Degree in Physics and Education at Kenyatta University, Master’s at University of Central Oklahoma, and Ph.D. in Research, Evaluation, Measurement, and Statistics from Oklahoma State University in 2005. He teaches general linear model (ANOVA, Regression, Multivariate), Mixed Models, and Program Evaluation courses.
Teaching Assistant: Duco Veen Ph.D. Candidate
Duco Veen is a PhD Candidate at Utrecht University at the Department of Methods and Statistics. He conducts research on Bayesian statistical solutions to small data problems in structural equation models. The main focus is on prior specification, including expert knowledge in statistical models and measuring discrepancy between expert knowledge and data. Further research includes Randomized Response survey methodology for conducting research into sensitive topics. He has contributed to multiple R-packages and online web applications to support understanding of statistical methods.
Teaching Assistant: Omolola Odejimi
Omolola A. Odejimi is a PhD student at Texas Tech University in the Research, Evaluation, Measurement and Statistics program. She is currently a research assistant at the Institute for Measurement, Methodology, Analysis and Policy at TTU. Her main methodological foci are longitudinal structural equation modeling and multilevel modeling with substantive interests in learning and developmental theories. Further research interests include intervention evaluation, simulation studies and Bayesian analysis. She received a B.Sc. in Psychology and Women & Gender Studies from Portland State University.
Teaching Assistant: Martha Egberts
Marthe Egberts is a PhD candidate at the Association of Dutch Burn Centres in Beverwijk and at the department of Clinical Psychology at Utrecht University. She recently started working as a postdoctoral researcher at the Department of Methodology and Statistics at Utrecht University. Marthe’s background is in applied research. Her PhD-project is focused on psychological consequences of pediatric burn injury, including a focus on child and parent posttraumatic stress reactions. To examine this topic, Marthe has used statistical modelling such as multilevel- and structural equation modelling. Download CV (PDF)
Teaching Assistant: Evelien Schat
Evelien Schat works as junior researcher at Utrecht University at the Department of Methods and Statistics and as eScience Research Engineer at the Netherlands eScience Center. At Utrecht University she does research on social media and the well-being of adolescents and young adults. Research at the Netherlands eScience Center includes quantifying differences between MRI brain data sets and investigating whether the Data Agreement Criterion can be used to determine whether one MRI data set is representative of another MRI data set. In addition, she contributes to the EYRA benchmark platform and does research on how one can best set up a benchmark to compare algorithms. Download CV (PDF)
Teaching Assistant: Sanne Smid
Sanne is a PhD student at the Methodology & Statistics department at Utrecht University. In 2012, Sanne received her BSc. in Interdisciplinary Social Sciences and in 2014 her MSc. in Methodology and Statistics of Behavioral and Social Sciences at Utrecht University. Before her PhD, she worked for 1.5 years as a lecturer at the Methodology & Statistics department, at which she taught various courses from bachelor to postgraduate level, and assisted in several research projects.
Teaching Assistant: Kimberley Lek
Kimberley Lek has a background in both Methodology and Statistics and Educational Sciences. In 2015, she obtained a research talent grant from the Dutch organization for Scientific Research to investigate how teacher knowledge can be used to improve testing in primary education. She also has an interest in approximate measurement invariance testing in Mplus; a topic which she covered in two practical book chapters. Since 2013, she has enthusiastically worked as a lab assistant and teacher in the Dutch summer schools on basic and advanced structural equation modeling.
Software and Computer Support
Participants need to bring a laptop computer with Wi-Fi capabilities. We strongly recommend that you also bring an extension cord or power strip plugs are often at a 10 – 15′ distance from your desk.
Statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.
The seminar will support Mplus and Lavaan. Previous knowledge of Mplus or Lavaan is preferred but not required.
Seminar files and downloads will be posted on the first day of class. Please download these files onto your computer at the beginning of the first day. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share login information or the content protected by it.
Why Should You Attend?
- Get 1 on 1 Consultation With Instructor
- Professional Networking
- Peer Socializing
- All Seminar Resources
- Breakfast, Lunches, & Snacks Daily