AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
LD

Lawrence T. DeCarlo

Psychology and Education

Columbia University

No ratings yetBe the first to rate
Loading...

About Lawrence T. DeCarlo at Columbia University (Columbia)

Lawrence T. DeCarlo is a scholar at Columbia University specializing in advanced psychometric methods and statistical models for educational and psychological measurement.

Research Areas

psychometricssignal detection theoryitem response theoryeducational measurementstatistical modelingcognitive diagnosisdecision making
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

Research output metrics for Lawrence T. DeCarlo aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations4,016

Emerging researcher

Publications62

Selective publication record

h-index26

Developing track record

i10-index39

Growing portfolio

Lab Environment

No lab data yet for Lawrence T. DeCarlo

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Top Publications

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.