Dissertation Defense Statistical Mock Committee

The doctoral defense challenge

Rehearse committee pushback on MLR versus WLSMV, sample size and power limits, FIML versus multiple imputation, assumption checks, and localized model strain. Practice methodologically defensible answers that acknowledge uncertainty.

Scope and deliverables

• Pre-session review of Chapters 3–4 and analysis scripts or output, up to 40 pages total. R, SPSS, Stata, Mplus, or SAS.
• 60 minutes of simulated statistical committee questioning, with 12–15 custom questions targeting your models.
• 30 minutes of coaching, verbal framing practice, and defense slide or table triage.
• Written Post-Mock Statistical Debrief Packet in Word and HTML within 24 hours of the session, with model-matched talking points and boundary statements.

Pricing and availability are confirmed after we review your statistical methods, materials, defense date, and preparation needs. We will provide a quote for the agreed scope before scheduling.

Inspect concrete sample evidence

A fictional, reproducible doctoral persistence case. This is synthetic methodological evidence, not an actual student outcome.

Open the interactive debrief preview · Estimator and missingness decision tree

The sample kit contains the debrief in HTML and Word, a question rubric in HTML and Word, the HTML decision tree, and printable PDFs of the debrief and decision tree.

Four steps to a prepared defense

1. Tell us about your defense at least four business days beforehand. Secure draft transfer is arranged after scope confirmation; do not upload confidential material here.
2. We review your request and arrange a session time by email after confirming scope and preparation time.
3. Attend the 90-minute mock committee and coaching session.
4. Receive the written debrief within 24 hours.

Business days mean Monday–Friday in America/New_York, excluding the booking date. Holiday availability requires operator confirmation.

Your methodologist

Nedim Yel, Ph.D., Co-Founder and Lead Statistician at Data Analysis & Statistical Solutions (DASS), specializes in Measurement, Statistics, and Methodological Studies. His work includes psychometrics, multilevel modeling, and more than 15 years of NSF-, IES-, and foundation-funded research experience.

Explore Reviewer Ready and StatPower.

Scope and academic ethics

This service provides methodological critique, oral defense simulation, and coaching. DASS does not ghostwrite dissertation chapters, fabricate results, or guarantee committee decisions. Confirm your program permits outside support. You retain authorship and responsibility for all decisions.

Email is required for the requested sample or booking confirmation. Optional methodology notes require separate consent. Do not submit participant data, passwords, or confidential dissertation files through these forms.

Tell us about your defense

Send your request to defense@dissertationstatshelper.com. We will review the scope and arrange a time by email. Submitting this form does not book a session.

Frequently asked questions