Payment
Payment must be received prior to start date of the retreat.
Instructions will be included in the confirmation email to pay by credit card. We accept the following providers:
To pay by check, please mail your payment to:
AccuDissertaion
5779 Horse Thief Place
Rancho Cucamonga, CA 91739
Register Now for the Dissertation Retreat
The tuition for all Dissertation Retreat services (a $4200.00 value) is only $1,595.00
Registration includes:
- Pre-assessment of your dissertation and comprehensive plan to complete it
- Your cohort group will be assigned a statistician and methodologist to help you design and craft a solid research study
- Access to writing support experts to help you quickly draft chapters of your dissertation
- Access to statisticians to help run analyses and interpret results
- Editors and APA specialist available if needed
- One-on-one mentoring to ensure progress is made and goals are achieved
- Comfortable surroundings in a retreat-like setting so you can concentrate without interruptions
Call 1-800-317-1625 to speak to a PhD Assist professional or REGISTER ONLINE NOW!
Registration
By registering now, you will reserve your position at the retreat you selected.
* required field
Contact Information
*The first day of the Dissertation Retreat program is for traveling and orientation. After checking in, there will be an orientation session beginning at 6:00 p.m. Details and information will be sent to attendees closer to the time of the Retreat. The schedule for the Retreat is 8:00 a.m. – 5:30 p.m. daily and the Retreat ends at 11:00 a.m. on the last day.
* We will instruct you in how to format in APA at the Retreat. However, final APA Editing and Formatting by our experts will be available, at an additional charge (just in case you don’t want to hassle with it). We strongly suggest that you don’t worry about final editing and formatting until chapters 1-3 or 1-5 are complete or unless your chair, committee, or university requests it.
** For data analysis, a small set up fee may apply depending on the condition of your data

