Dr. Christopher Eckhardt

Professor

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Biography

Christopher Eckhardt is a Professor in the Department of Psychological Sciences at Purdue University. His research broadly explores the psychological risk factors associated with intimate partner violence (IPV) and the role of alcohol use in understanding these risks. His lab employs innovative research methods to develop empirically supported models of IPV. Specific research areas include cognitive and emotional risk factors in IPV perpetrators, the effects of alcohol intoxication on aggression, stages and processes of behavior change in mandated IPV offenders, and brief interventions for IPV perpetrators. Eckhardt is particularly interested in developing and testing interventions that can guide IPV perpetrators towards behavior change. He has published extensively in the domains of domestic violence and psychological assessment, contributing significantly to the understanding of risk factors related to IPV and alcohol use. His engagement in professional affiliations includes serving on editorial boards for multiple psychology journals, where he focuses on the intersection of psychological research and practice concerning violence and relationship dynamics.

Research Interests

Experience

Professor

1994-01-01 — Present

Purdue University • West Lafayette, IN

Professor in the Department of Psychological Sciences, focusing on intimate partner violence and related psychological factors.

Courses

PSY 350 - Abnormal Psychology PSY 390 - Research Experience Psychology PSY 443H - Honors Violence Agression PSY 668 - Clinical Assessment

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.