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Professional
LIMITED TIME OFFER: 1 NIGHT FREE AT EMBASSY SUITES
$ 1,895.00
Unlimited
Student
LIMITED TIME OFFER: 1 NIGHT FREE AT EMBASSY SUITES
$ 1,145.00
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1 FREE Night Included, Click Here to Book Your Room!

Venue Information: Embassy Suites By Hilton 1000 Woodward Pl NE, Albuquerque, NM 87102

Cancellation Policy:

If you cancel your registration at least two weeks prior to the day the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50). If you cancel within the 14 days prior to the course you may transfer the full amount towards any future course or receive a full refund (minus a processing fee of $295).

In the unlikely event that Stats Camp Foundation must cancel a course, our team will do our best to inform you as soon as possible with more information. Students then have the option of receiving a full refund of the course fee or a full credit towards another future course. In no event shall Stats Camp Foundation be held responsible for any incidental or consequential damages that you may incur because of the cancellation. Course disclaimer. All courses include 365 days of asynchronous access after event.

*You must register prior to the event start, attendance is NOT mandatory. However; CE credits are only available if you attend live for the duration of the course. (Includes: On-Demand, Livestream and In-Person courses, all Stats Camp Retreats are in-person attendance only.)

 

what students are saying

The Summer Stats Camp training institute provides a wonderful opportunity for researchers and data analysts to learn the basic foundations of SEM as well as some advanced applications and research opportunities that SEM can facilitate. Dr. Little provides personable “hands-on”instruction in a relaxed and enjoyable environment. I highly recommend this summer institute to faculty and graduate students alike!
Best Statistics Training Course Online

Paul Schrodt, Ph.D., Professor and Director of Graduate Studies

The Stats Camp instructor’s clear and practical presentation of material that was once intimidating to me has uncovered a powerful analytic tool. I feel comfortable that I’ve learned the correct application of SEM Foundations and Extended Applications from experts in the field. At the same time, I was introduced to cutting edge statistics techniques and I understand the advantages of their practical use and application.
Best Statistics Training Course Online

Jenny Tehan, Ph.D., Department of Psychology University of Akron

The highlight of the summer break was attending ‘Stats Camp,’ an educational camp in Albuquerque New Mexico that provides advanced-level training in Statistics. The 5-day class I took (‘SEM with Mplus’) passed by quickly, as an information-packed series of lectures, hands-on examples, personal consultations, and jokes. Classes were small, lectures succinct/direct, and training content based on each individual student requests.
Best Statistics Training Course Online

Anna Yu Lee, PhD, MPH, MA, Counselor/Therapist

I can honestly say that for the first time in years I have been able to focus on myself and my research. I feel physically and mentally healthier than ever and I am excited about the cutting-edge knowledge and resources I am gaining in the rapidly evolving field of latent variable modeling. I am going to make it a goal to prioritize Statscamp for myself and graduate students on a yearly basis. Definitely recommend!
Best Statistics Training Course Online

Sarah D. Lynne-Landsman, Ph.D., Family, Youth & Community Sciences

Stats Camp is the place for a meeting of the minds and an opportunity to sit down and sort through complex ideas with people who can guide you, side-by-side, through the sticking points so you can get back into the flow. It’s amazing that something like this exists. Dr. Little has given the world a tremendous gift with Stats Camp. I walked in knowing nothing substantial and walked out delighted and better skilled.
Best Statistics Training Course Online

Benjamin Theisen, Ph.D., Business Psychology Consulting Group

I can strongly recommend the Stats Camp Summer course in Longitudinal Mixture Modeling. It is as systematic and comprehensive as the very best of the research methods courses I have participated in since I moved from business to academics 12 years ago. It has been an important tool box for pulling apart differing effects in subpopulations for the coming generation of social and behavioral science researchers, starting now!
Best Statistics Training Course Online

Alan R. Johnson, Ph.D., Senior Research Fellow at NORD University, Bodø, Norway

I participated in the SEM: Foundations and Extended Applications course earlier this summer. It was such a wonderful statistics training opportunity that has, already, found lots of applications in various grant proposals and analyses. As I’ve said to several colleagues since, Stats Camp has a special ability to take something that prior to my arrival seemed overwhelming and complicated and make it seem so do-able.
Best Statistics Training Course Online

Amy K. Syvertsen, Ph.D., Applied Developmental Scientist

The Stats Camp expert instructors were clear, concise, and helpful in addressing questions. Before attending, I was concerned that I would have trouble truly understanding all of the concepts and material in such a short time, but the instruction was fantastic and not overwhelming. I particularly found it advantageous to stay on-site at the Embassy Suites so I could participate in all of the after hours networking events.
Best Statistics Training Course Online

Spiros Tzivelekis, Ph.D., GHE Director - Amgen

Stats Camp was the most useful statistical training I’ve ever had. The instructors are down to earth and practical in their teaching style and the classroom environment was relaxed and non-threatening, which is necessary for such a potentially daunting topic. In particular, the one-on-one private consultation with my own data was invaluable, I highly recommend signing up for the Summer Stats Camp in Albuquerque!
Best Statistics Training Course Online

Kris Carlson, Ph.D., Sandia National Laboratories

Thank you to Dr. Todd Little and his team for facilitating such a great statistical methods training workshop in Albuquerque. I absolutely got what I needed and was energized in my work when I returned to Cleveland. This was a wonderful experience that I will be sure to share with my colleagues here at CWRU. Now I am looking forward to mediation this summer in Albuquerque! Who knew I would be excited for more stats!
Best Statistics Training Course Online

Leigh-Ann Sweeney, Ph.D., Lecturer and Health Service Researcher

I was impressed with the amount of material Dr. Todd Little and team were able to cover in Summer Camp. The instructors moved at a pace appropriate for the participants, adapted the materials as we went along to accommodate this pace, and still offered individual consultations. I am confident that I can take everything I learned, from the basic to the advanced topics & employ them independently in my own research.
Best Statistics Training Course Online

Katie Paschall, Ph.D., Senior Research Scientist at Child Trends

I took both Foundations of SEM and Longitudinal SEM last summer and I have to say this has been one of the most useful learning experiences of my life. The courses were excellent! Everything was explained in a clear fashion with plenty of time for questions and practice. Learning was fun and the teaching happened at multiple levels, such that everyone would have a lot of knowledge gain regardless of their level of expertise.
Best Statistics Training Course Online

Rodica Damian, Ph.D., Associate Professor University of California, Davis

The Stats Camp instructors have an unmistakable dedication to research methods and data analysis of the very highest quality-but are remarkably balanced in their very obvious efforts to connect with others on a professional and personal level as very likable and real people. I really enjoyed the networking opportunities that the breakout sessions provided and will be returning for another Summer Camp soon!
Best Statistics Training Course Online

Chen Zhang, Ph.D., Faculty University of Memphis

IN PERSON – 5-day Statistics Short Course

Longitudinal Structural Equation Modeling (LSEM) Seminar Overview:

Do you have repeated measurements? Have you collected data over multiple timepoints? Do you need help designing your longitudinal study? If so, this is your course! Let us help you appropriately design your longitudinal study and analyze your data in the SEM latent variable framework using Longitudinal Structural Equation Modeling (LSEM). This framework will allow you more flexibility in evaluating your research questions over time as well as test assumptions that traditional techniques like ANOVA ignore.

Seminar Topics:

  • Design and measurement issues in cross-sectional and longitudinal research
  • Traditional panel designs
  • Overview of missing data
  • Latent growth curve modeling
  • Testing for Mediation and Moderation
  • Using Phantom Constructs
  • Longitudinal Measurement Invariance – Multiple Group LSEM
  • Growth Mixture Models

Seminar Description:

The seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data.

Instructor: Todd D. Little, Ph.D.

Longitudinal SEM Training

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 51,496 citations with an h-index of 98 and an i10-index of 264. 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 Todd’s CV (PDF)

Instructor: Whitney Moore, Ph.D.

Longitudinal SEM Course

Whitney received her Ph.D. in the Psychosocial Aspects of Health and Physical Activity from the University of Kansas. She is currently an Assistant Professor at Wayne State University in the Division of Kinesiology, Health & Sport Studies where she teaches graduate courses in research methods, sport and exercise psychology, and statistics.

Instructor: Zachary Stickley, Ph.D.

Longitudinal Structural Equation Modeling

Zachary, Ph.D. is a senior research scientist at Yhat Enterprises LLC. where he pursues his research interests in measurement design, applied latent variable modeling, and modern approaches to missing data. Dr. Stickley has also served as an instructor and coordinator for the Stats Camp Foundation since first joining the team as a graduate student in 2018. He received his Ph.D. in Educational Psychology from College of Education at Texas Tech University with a focus on research methodology, measurement design, and statistical modeling. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University.

APA Continuing Education Credits:

Longitudinal Structural Equation Modeling (LSEM)

This course offers 26 hours of Continuing Education Credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.

Seminar Includes:

Materials, downloads, recorded course video viewable for up to one year.

Learning Objectives:

The five-day training institute on Longitudinal Structural Equation Modeling (LSEM) will enable participants to:

  • Address design and measurement issues in longitudinal modeling.
  • Acquire understanding of the SEM concepts that are foundational to longitudinal SEM design.
  • Analyze longitudinal panel models in both a single group and multi-group configuration in CFA and SEM framework.
  • Incorporate mediation and moderation in a longitudinal framework.
  • Construct item parcels in a longitudinal framework.
  • Evaluate latent growth curve models.
  • Apply latent growth curve models in a multivariate and multiple group context.
  • Evaluate finite mixture models.
  • Interpret and evaluate covariance pattern mixture models.
  • Evaluate Growth mixture models.
  • Address missing data using FIML and MI methods.
  • Use modern missing data treatments to implement a planned missing data design.

Seminar Prerequisites:

Required:

  • Proficiency in multiple linear regression.
  • At least limited experience (e.g., graduate-level course) with continuous latent variable models, e.g., exploratory and confirmatory factor analysis (EFA; CFA) and structural equation modeling (SEM).
  • We strongly recommend that you attend our foundations of SEM as a pre-requisite to taking this advanced course. If you have not taken the foundations course, you should have extensive experience or have taken a graduate-level course on SEM before enrolling.
  • Intermediate proficiency with at least one statistical software package (e.g., SPSS, Stata, SAS, R, LISREL, Mplus, etc.).

Not required but advantageous:

  • At least limited experience (e.g., graduate-level course) with multivariate data analysis.

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Longitudinal Structural Equation Modeling (LSEM).
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Software and Computer Support:

Participants need a laptop computer with Wi-Fi and webcam capabilities.

All 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.

All 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.

Seminar Audience:

If you already have a strong background in the application of SEM to analyze the covariance structure of multivariate data and you need to learn how to apply more advanced models to longitudinal data, this seminar is for you. We strongly recommend that you attend our five-day intensive summer institute on the foundations of SEM as a pre-requisite to taking this five-day advanced seminar. If you have not taken the foundations Seminar, you should have extensive experience or have taken a graduate-level seminar on SEM before enrolling.

Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the seminar.

The seminar will support LISREL, Mplus or Laavan. Some assistance will be available for questions related to other structural modeling packages. Previous knowledge of LISREL, Mplus or Laavan is preferred but not required.

Seminar Files

Instructor will provide password on first day of seminar.

All 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.

Summer Stats Camp 2023: Longitudinal Structural Equation Modeling (LSEM)
Monday June 12, 2023
9:00-10:45 Welcome and Introductions. Overview of Longitudinal Models
10:45-11:00 Rest Break
11:00-12:30 Design and Measurement Issues in Longitudinal Modeling
12:30-1:30 Rest Break
1:30-3:15 Review of Foundations of SEM
3:15-3:30 Rest Break
3:30-5:00 Longitudinal Panel Models: Basics
Tuesday June 13, 2023
9:00-10:45 Multiple-group Longitudinal Panel Models; CFA and SEM
10:45-11:00 Rest Break
11:00-12:30 Parcels and Parceling
12:30-1:30 Rest Break
1:30-3:15 Longitudinal Mediation & Moderation
3:15-3:30 Rest Break
3:30-5:00 Consultation
Wednesday June 14, 2023
9:00-10:45 Latent Growth Curve Modeling: Basics
10:45-11:00 Rest Break
11:00-12:30 Latent Growth Curve Modeling: Multivariate and Multiple Groups
12:30-1:30 Rest Break
1:30-3:15 Introduction to Finite Mixture Modeling
3:15-3:30 Rest Break
3:30-5:00 Introduction to growth mixture modeling / Consultation
Thursday June 15, 2023
9:00-10:45 Latent class growth analysis (LCGA)
10:45-11:00 Rest Break
11:00-12:30 Covariance Pattern Mixture Models
12:30-1:30 Rest Break
1:30-3:15 Growth mixture modeling (GMM)
3:15-3:30 Rest Break
3:30-5:00 Growth mixture modeling (GMM)
Friday June 16, 2023
9:00-10:45 Missing Data: Planned and Unplanned
10:45-11:00 Rest Break
11:00-12:30 Wrap-up then Individual Consultations
12:30-1:30 Rest Break
1:30-~3:30 Individual Consultations

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