There is no cost to participate in this training. Selected participants will receive a stipend of $2,150 to support their research.
No. This training will occur virtually. No travel is needed to participate in this training
Here is a link to the application questions so you can prepare your response to each question before you submit your application.
This training is intended for researchers with PhDs.
This training is intended for early-career and mid-career scholars.
We recommend that you are proficient in R/RStudio. All labs will be conducting using R/RStudio.
No. We do not expect that you will be familiar in Mplus. Instruction will be provided in MPlus and funding to purchase Mplus will be available.
We recommend that you have your own data that we can support you to analyze. If selected for participation but do not have your own data, we will work with you to identify appropriate data.
Yes, per NSF requirements, you must be a citizens or non-citizen nationals of the United States, or must have been lawfully admitted to the United States for permanent residence (i.e., possess a currently valid Alien Registration Receipt Card I-551, or other legal verification of such status.
No. Due to space limitations and our citizenship requirement, the course is open only to applicants who are citizens or non-citizen nationals of the United States, or who have been lawfully admitted to the United States for permanent residence (i.e., possess a currently valid Alien Registration Receipt Card I-551, or other legal verification of such status).
At minimum, ideal participants should have completed a regression course. Ideally, participants should have completed other advanced quantitative methods courses as well.
No. Participants do not need any prior experience with mixture modeling.
The purpose of the year-long mentoring is to support the application of mixture modeling to research questions that you are interested. Our research team will help you identify potential venues to publish your work (such as a conference or peer-reviewed journal) and will support the analyses and interpretation of your mixture modeling analyses throughout the year.
There will be 10 DBERs in each cohort. We will have two cohorts of DBERs.
The training will include 10 days (2 hours of asynchronous and 2 hours synchronous) of virtual instruction. The days of the synchronous training are listed below (listed in Pacific time) and it is expected that fellows do 2 hours of asynchronous work as well:
- Friday, May 17, 2024 9:00-11:00 AM
- Friday, May 24, 2024 9:00-11:00 AM
- Friday, May 31, 2024 9:00-11:00 AM
- Friday, June 7, 2024 9:00-11:00 AM
- Friday, June 14, 2024 9:00-11:00 AM
- Friday, August 23, 2024 9:00-11:00 AM
- Friday, August 30, 2024 9:00-11:00 AM
- Friday, September 6, 2024 9:00-11:00 AM
- Friday, September 13, 2024 9:00-11:00 AM
- Friday, September 20, 2024 9:00-11:00 AM
After the 10 days of training are completed over the summer, there will be opportunities for one-on-one monthly mentoring throughout the year. The schedule for this monthly mentoring will be coordinated with those who are selected for training but will likely include 1-hour time slots that researchers can sign up for.
The training involves both synchronous and asynchronous components. For each 2 hours of synchronous training, you will be expected to do 2 hours of asynchronous work (coding, reading, data analysis). The training days are as follows:
- Friday, May 17, 2024 9:00-11:00 AM
- Friday, May 24, 2024 9:00-11:00 AM
- Friday, May 31, 2024 9:00-11:00 AM
- Friday, June 7, 2024 9:00-11:00 AM
- Friday, June 14, 2024 9:00-11:00 AM
- Friday, August 23, 2024 9:00-11:00 AM
- Friday, August 30, 2024 9:00-11:00 AM
- Friday, September 6, 2024 9:00-11:00 AM
- Friday, September 13, 2024 9:00-11:00 AM
- Friday, September 20, 2024 9:00-11:00 AM