South Africa Stats Camp Training Seminar

Comprehensive Structural Equation Modeling Statistics Seminar
Comprehensive Structural Equation Modeling Statistics Seminar

A comprehensive 4-day Stats Camp Seminar:

Analytical competence is of great importance to conduct social and psychological research. The Optentia Research Focus Area, in collaboration with two international experts on statistical analysis (Prof. Todd D Little and Prof. Rens van de Schoot), will present a Stats Camp in South Africa. Stats Camp is an internationally recognized award-winning educational event focused on advanced statistical training at a graduate and postgraduate level.

Stats Camp seminars are highly relevant to current trends and practices in modern advanced statistical analysis. They enable researchers to get practical “hands-on” instruction that delivers practical value. Each year, full week-long Stats Camps and Mini Camps are held in locations throughout the world.

The goal of the Stats Camp is to help participants to run their models in Mplus or R (lavaan, blavaan, stan) and maybe even to finalize their results section.

About the Seminar:

We ask the participants to bring their own data and they should be interested in analysing SEM models. The goal of the week is to help them to run their models in Mplus or R (lavaan, blavaan, stan) and maybe even to finalize their results section. The workshop will focus on hand-on training in statistical software.

Topics include scaling and identification, parceling procedures, multiple group confirmatory factor analysis, measurement invariance and rescaling constructs.

Travel Arrangements

Mongena Private Game Lodge, Dinokeng Game Reserve is 98 km from the O.R. Tambo Airport (travel time 1 h 10 min). Participants should arrange their own transport to the Stats Camp venue. Optentia has arranged with Mr Etienne Snyman of Cross-Country Coaches to provide transport from the O.R. Tambo International Airport to Mongena Lodge. Please contact Lynn Booysen (lynn.booysen@nwu.ac.za) for more information.

University Camp: 2019 April 23 – 26
(arrive afternoon of 22nd)

Hammanskraal, Gauteng Province, South Africa
Mongena Lodge – Dinokeng Game Reserve 


FAQ –  Hotel Reservations Form (PDF)  –  Mongena Room Details (PDF)


Driving Directions (PDF) –  Area Map (PDF)  

SEMINAR BEGINS:
2019 April 23 at 7AM for breakfast followed by 8AM workshops.

The Stats Camp will take place at Mongena Lodge. Please book your accommodation and do the payment as soon as possible. The cost of accommodation if not included in the fee for the Stats Camp.

Address:
10 KM on Rust De Winter Road D48
Dinokeng Game Reserve
Hammanskraal, Gauteng Province
South Africa

Contact:
Please contact Lynn Booysen (lynn.booysen@nwu.ac.za) for more information about registration and the costs of the Stats Camp, accommodation at Mongena Lodge during the event and transport from the Johannesburg International Airport.

Accommodations:
The course fee does not include breakfast, lunch, dinner or refreshments normally provided during workshops. Most participants obtain the conference package from Mongena Lodge including accommodation, breakfast, lunch and dinner in some cases. Please contact Mongena Lodge to purchase the conference package. The course fee covers the cost of the presentations over the four days of the event. Contact Lynn Booysen listed above if you need more information. We look forward to seeing you at Stats Camp.

Payment Options

R8000-00 Faculty/Professional or R4000-00 Student/Post-Doc
(Please note that traveling and accommodation are not included in this fee.)

LIMITED SEATING, REGISTER TODAY! 6 SEATS LEFT.

A few slots have opened up due to last minute cancelations; registration is again open but payment must be processed at the time of registration to secure one of the remaining seats.


Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Syllabus

Monday 2019 April 22

16:00  – Participants arrive

20:00  – Welcome and ‘get-to-know-your-teachers’-drinks

Day 1 (Tuesday 2019 April 23)

Time Activity Presenter Topic
07:00 Breakfast
08:00 Session 1 Prof. Ian Rothmann

Prof. Rens van de Schoot

Prof. Todd Little

=> Welcome + introducing speakers

=> Explain programme

=> Introducing SEM basics

10:00 Refreshments
10:30 Session 2 Prof. Todd Little Foundations of SEM and CFA
12:30 Lunch
13:30 Session 3 Prof. Todd Little Longitudinal SEM
14:45 Refreshments
15:00 Session 4 Prof. Todd Little Measurement Invariane, parcelling and a short note on missing data
16:00 Game Drive or

Relaxation or

work on data

19:00 Dinner

(might start

with drinks from 18:30)

Day 2 (Wednesday 2019 April 24)

Time Activity Presenter Topic
07:00 Breakfast
08:00 Session 1 Prof. Rens van de Schoot Lecture ‘From research question to statistical model’
10:00 Refreshments
10:30 Session 2 Break-out session In small groups specify research questions and decide on statisical model
12:30 Lunch
13:30 Session 3 Break-out session In small groups specify research questions and decide on statisical model – results should be send to teachers
14:45 Refreshments
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

Relaxation 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
19:00 Dinner

(might start with

drinks from 18:30)

Day 3 (Thursday 2019 April 25)

Time Activity Presenter Topic
07:00 Breakfast
08:00 Session 1 Prof. Rens van de Schoot 42 ways of getting significant results (and why you shouldn’t)
10:00 Refreshments
10:30 Session 2 Break-out sessions Prepare syntax to run some models
12:30 Lunch
13:30 Session 3 Break-out sessions Run models
14:45 Refreshments
15:00 Session 4 Break-out sessions Improve models / solve errors
16:00 Relax
17:00 Braai and Socialize

Day 4 (Friday 2019 April 26)

Time Activity Presenter Topic
07:00 Breakfast
08:00 Session 1 Break-out sessions Prepare 2-min pitch
10:00 Refreshments
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
12:30 Lunch
14:00 Depart

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

Statistics Training SeminarSeminar 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
  • Collaboration
  • All Seminar Resources
  • Breakfast, Lunches, & Snacks Daily