Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Self-Report Tests of Personality

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 2, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Towards NLP-based psychological evaluation.

¹Southwestern Oklahoma State University, Weatherford, OK, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|August 13, 2008

Summary

This summary is machine-generated.

This study introduces a new method using entropy to analyze emotional fluctuations in text. This approach can help evaluate mental states by detecting unusual patterns in written content.

More Related Videos

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

Related Experiment Videos

Last Updated: Jul 2, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

Area of Science:

Computational Linguistics
Psycholinguistics
Text Analysis

Background:

Understanding subjective emotional properties in text is crucial for various fields.
Existing methods may not fully capture the nuances of emotional expression in writing.
Applications span forensic linguistics, psychological diagnosis, and socio-political analysis.

Purpose of the Study:

To develop and validate a methodology for quantifying subjective emotional properties in written texts.
To explore the utility of entropy as a measure of emotional text fluctuations.
To investigate the potential of this methodology in identifying atypical mental states.

Main Methods:

Utilizing entropy as a quantitative measure for analyzing emotional variations within textual data.
Examining the distribution and level of relative text entropy.
Correlating entropy patterns with the mental state of text authors.

Main Results:

A decrease in relative text entropy below a specific threshold is indicative of atypical mental conditions.
Unusual patterns in the distribution of entropy across a text suggest deviations in mental state.
The proposed entropy-based method demonstrates potential for objective evaluation of psychological conditions through text.

Conclusions:

Entropy analysis offers a novel approach to assessing subjective emotional content in written language.
This methodology shows promise for applications in forensic linguistics and psychological diagnosis.
Detecting deviations in text entropy can serve as a valuable indicator for evaluating mental states.