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Criminal Profiling and Lie Detection: Method and Application (UGC-NET Unit I)

Published:

Questions

30

Duration

30 min

Faculty-reviewed

0

Updated

17 May 2026

Score, per-question explanations and topic breakdown shown right after you submit.

About this mock

UGC-NET Forensic Science Unit I drill on criminal profiling and the three Indian lie-detection tools: polygraph, narco-analysis, and brain electrical activation profile. Medium-band questions test method selection, admissibility judgment under Selvi v. State of Karnataka (2010), and case-application across investigative scenarios. Calibrated for NET Paper II candidates working through profiling, victimology, deception detection, and the boundary between investigative aid and trial evidence.

Sources & references

Questions in this mock are written and verified against the following sources. Citations are recorded per question and shown in the explanation after submission.

  • Selvi v. State of Karnataka, (2010) 7 SCC 263

    Operative paragraphs read with Section 27 Indian Evidence Act / Section 23 BSA 2023

    cited in 4 questions
  • National Research Council, The Polygraph and Lie Detection

    National Academies Press, 2003, Chapter 2: Validity of the CQT

    cited in 3 questions
  • Douglas, Burgess, Burgess and Ressler, Crime Classification Manual

    Wiley, 3rd Edition, Chapter 1: Profile as Investigative Aid

    cited in 2 questions
  • National Human Rights Commission, Guidelines on Narco-Analysis

    NHRC, India, 2000 (reaffirmed 2010), Team Composition Annexure

    cited in 2 questions
  • Ressler, Burgess and Douglas, Sexual Homicide: Patterns and Motives

    Lexington Books, Chapter 7: The Organised-Disorganised Continuum

    cited in 1 question
  • National Human Rights Commission, Guidelines for Administration of Polygraph, Narco-Analysis and BEAP

    NHRC, India, 12 November 1999 (reaffirmed 2010)

    cited in 1 question
  • Directorate of Forensic Science Services, Annual Review

    Ministry of Home Affairs, Forensic Psychology Division Casework Summary

    cited in 1 question
  • Mukundan, Brain Electrical Oscillation Signature Profiling

    NIMHANS Department of Clinical Psychology, BEAP Technical Manual

    cited in 1 question
  • Goodman and Gilman, Pharmacological Basis of Therapeutics

    13th Edition, Chapter 19: Hypnotics and Sedatives

    cited in 1 question
  • Raskin and Honts, Handbook of Polygraph Testing

    Academic Press, Chapter 1: The Comparison Question Technique

    cited in 1 question
  • Jasper, The Ten-Twenty Electrode System of the International Federation

    Electroencephalography and Clinical Neurophysiology, 1958

    cited in 1 question
  • National Crime Records Bureau, Crime and Criminal Tracking Network and Systems Project Documentation

    Ministry of Home Affairs, Government of India

    cited in 1 question
  • Lykken, A Tremor in the Blood: Uses and Abuses of the Lie Detector

    Plenum Press, Chapter 9: The Guilty Knowledge Test

    cited in 1 question
  • Rossmo, Geographic Profiling

    CRC Press, Chapter 5: Distance-Decay and Awareness Space

    cited in 1 question
  • Turvey, Criminal Profiling: An Introduction to Behavioral Evidence Analysis

    Academic Press, 5th Edition, Chapter 6: Victimology

    cited in 1 question
  • Directorate of Forensic Science Services, Annual Report

    Ministry of Home Affairs, BEAP Service Locations

    cited in 1 question
  • Directorate of Forensic Science Services, Narco-Analysis Standard Operating Procedure

    Ministry of Home Affairs, Government of India

    cited in 1 question
  • Luck, An Introduction to the Event-Related Potential Technique

    MIT Press, 2nd Edition, Chapter 3: The P300 Component

    cited in 1 question
  • American Polygraph Association, Standards of Practice 2015

    Section 3.2: Required Physiological Channels

    cited in 1 question
  • Farwell, Brain Fingerprinting Laboratories Technical Note

    Cognitive Neurodynamics, 2012, MERMER Component Description

    cited in 1 question
  • Constitution of India, Article 20

    Part III, Fundamental Rights, Right Against Self-Incrimination

    cited in 1 question
  • Boucsein, Electrodermal Activity

    Springer, 2nd Edition, Chapter 1: Principles of Electrodermal Recording

    cited in 1 question
  • Farwell, Brain Fingerprinting MERMER Technical Description

    Cognitive Neurodynamics, Volume 6, Issue 2

    cited in 1 question

How our mocks are built

Questions are written and edited by the ForensicSpot team and cited from peer-reviewed forensic textbooks, official syllabi and primary case law. Each one is verified before publishing. Detailed explanations show after you submit, so the test stays a real test. See a mistake? Tell us.

Common questions

What does the Criminal Profiling and Lie Detection: Method and Application (UGC-NET Unit I) mock cover?+

UGC-NET Forensic Science Unit I drill on criminal profiling and the three Indian lie-detection tools: polygraph, narco-analysis, and brain electrical activation profile. Medium-band questions test method selection, admissibility judgment under Selvi v. State of Karnataka (2010), and case-application across investigative scenarios. Calibrated for NET Paper II candidates working through profiling, victimology, deception detection, and the boundary between investigative aid and trial evidence.

How many questions and how long is the test?+

30 multiple-choice questions, 30 minutes total. Difficulty: medium. Tier: Premium.

Who is this mock for?+

Forensic science students and aspirants who want timed, exam-style practice with explanations and verified source citations on NET. Useful for postgraduate entrance preparation and for BSc / MSc forensic students testing their recall under time.

Are the questions reviewed?+

Each question carries a verified source citation. Faculty review for individual questions is in progress.

Do I need an account to take this mock?+

Yes, a free ForensicSpot account is required to start a timed attempt — this lets you save progress, see per-question explanations after submission, and track your topic-level performance over time.

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