Loading Courses

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
All-Inclusive
Includes: Lodging, Training, Beverages & Meals
$ 2,750.00
Unlimited

All-Inclusive In-Person – 4-day Statistics Training Retreat

Retreat Overview:

4 days of intensive analysis, software solutions, best practices and options that brings your research up to the world-class level needed to get published in a top-tier journal. Analysis Retreat will make your research “submission ready” with the guided assistance of our team of experts.

Stats Camp Analysis Retreat is a unique and powerful 4 day opportunity to have a highly cited International team of experts vet your research and increase the likelihood of peer review approval and publishing. Our team puts the advantage squarely in your corner with four days of intensive analysis, software solutions, best practices and options that brings your research up to the world-class level needed to get published in a top-tier journal. Analysis Retreat will make your research “submission ready.” Build solid confidence for tenure and promotion. Stats Camp Analysis Retreat is the positive action you can take NOW to get your career on the fast track. Due to the intense personal focus of the retreat, seats are very limited and fill fast.

Analysis Retreat Includes:

  • In person one-on-one training
  • Hotel lodging provided
  • All meals and daily beverages & snacks provided
  • Materials, downloads, and software access

Retreat Description:

Todd D. Little, Ph.D. developed Stats Camps Analysis Retreats to address the need for specialized expertise that is often needed to move complex research projects to approval and publication. Dr. Little is a preeminent award-earning scholar who has published over 300 peer-reviewed works that have garnered 46,611+ citations.

Members of the Stats Camp team are highly experienced and many have decades of experience in resolving complex analytical challenges with an understanding of best-practices procedures. You will have exclusive access to their expertise as they guide you to a final publication-ready product.

Expert consulting at this level can quickly run into the tens of thousands of dollars. By bringing our team together with you at an exclusive and personalized all-inclusive Stats Camp Analysis Retreat, we can offer this unprecedented access at a much more affordable price.

Who Should Attend?

If you are in the pre-data analysis phase, Stats Camp staff will engage with you to develop a testable research hypothesis, a fully articulated analysis plan, and ensure full understanding of the analysis model, the nature of its results, and their implications.

If you are in the analysis phase, Stats Camp staff will work with you to learn the software syntax needed to analyze your data, interpret the output and understand the implications of your findings.

Breakout sessions will cover a vast array of techniques and topics. Some topics are predetermined while others will be prepared specifically to meet your needs and the needs of the other participants (a survey will be given prior to the event to develop this need list of topics to cover).

What to expect:

Participants in our past annual Stats Camp Analysis Retreats were overwhelming positive about the individualized learning that took place as well as the opportunity to work with their own data – a practical aspect that makes learning easier. Because participants are enabled to ask questions and get immediate feedback, learning the practical analytic skills is facilitated. Also, participants learned about different topics tailored to their learning needs.

Participants uniformly exclaimed that the learning activities and interaction with the Stats Camp instructors contributed to publishing more articles and increased the quality of their research, which has allowed them to target higher impact factor journals. Because quantitative methods are a critical gap in most fields, the Stats Camp experience helped clarify the essential importance of quantitative methods. By learning the basics of applying these methods, the knowledge is thereby carried over to other colleagues and students, and ultimately helping to close the gap.

The Stats Camp Analysis Retreat is a perfect combination of learning and fun from the comfort of a beautiful lodge in an amazing destination, networking in a collegial and social context. Having the stats camp in a retreat format, gives you ample time, motivation, and access to incomparable expertise to propel your research forward.

Welcome (Friday) – April 17

We start with a short lecture on regression versus SEM modeling, when to use which method, and explain the break-out sessions.

10:00  – Welcome and overview program

10:30  – Key-note lecture 1 (Todd Little & Rens van de Schoot)

Afternoon break-out sessions in two groups based on whether there is a clear analysis plan. Group 1: already working on analysis. Group 2: no data yet. For both groups, the goal is to answer questions like:

  • What exactly is your research question?
  • What are your hypotheses?
  • Are your analyses exploratory or confirmatory?
  • What variables do you have and what is their measurement level?
  • Make a drawing of your model (observed/latent).

Day 1 (Friday) – April 14

Continuation of Monday’s break-out sessions.

Morning breaks will be from 10:00 – 10:50.

Lunch will be from 12:30 – 13:30.

Afternoon break-out sessions with mini-lectures (conversations) on statistical models:

  • Basic multivariate statistics (T-test, anova, etc.)
  • Basic SEM-CFA
  • Multilevel analyses
  • Longitudinal analyses
  • Bayesian analyses

During the day, we will also have individual/group consultation appointments to answer specific questions from participants.

Afternoon breaks will be from 15:00 – 15:15.

Sessions will end at 16:30.


Day 2 (Saturday) – April 15

Morning Study and Consultations

General meeting to explain break-out sessions (15 mins)

Morning break-out sessions introducing software:

  • Intro lecture Mplus with simple regression and CFA
  • Intro lecture R + Rstudio, how to upload data, run simple regression using lm function
  • Advanced Mplus with LGM, LCA, LGMM
  • Advanced R with CFA and LGM in lavaan

10:00 – 10:50: Morning Break.

12:00 – 12:30: General meeting discussing results.

12:30 – 13:30: Lunch

Afternoon break-out sessions working on your own data (or work on exercises if you do not have data yet) based on level of experience

  • Basic Mplus
  • Basic R
  • Advanced Mplus or R
  • Participant nominated topics

We will also have individual/small group consultation appointments

15:00 – 15:15: Afternoon Break

16:30: Sessions end.


Day 3 (Sunday) – April 16

General meeting to explain break-out sessions (15 mins)

Morning break-out sessions based on level of experience

  • Basic Mplus
  • Basic R
  • Advanced Mplus or R
  • Participant nominated topics
  • Individual/small group consultation appointments

10:00 – 10:50: Morning break.

12:00 – 12:30: General meeting discussing results.

12:30 – 13:30: Lunch

13:30 – 14:45: Key-note lecture 2 (Todd Little & Rens van de Schoot)


Day 4 (Monday) – April 17

Continue to work on own data and get individual Zoom feedback on taking the next steps.

11:00 – 11:30: Closing Zoom meeting

11:30 – Afternoon: Open consultation sessions

4:00 Retreat close


Please fill out and submit the form below to get instant access to sample course materials.

Print Friendly, PDF & Email
Go to Top