Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Logistic regression.

L J Davis1, K P Offord

  • 1Mayo Clinic and Mayo Foundation, Rochester, MN 55905, USA.

Journal of Personality Assessment
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

Logistic regression is a valuable statistical method for personality research with dichotomous outcomes. Its mathematical tractability and availability in software make it accessible for researchers.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The Haematological Effects of Nitrogen Mustard Therapy with Special Reference to the Cytology of the Sternal Bone Marrow.

Glasgow medical journal·2018
Same author

The Determination of the Blood Volume in Man with Evans Blue ("T-1824").

Edinburgh medical journal·2018
Same author

Recruitment of House Staff into Anesthesiology: Factors Responsible for House Staff Selecting Anesthesiology as a Career and Individual Training Program.

The journal of education in perioperative medicine : JEPM·2016
Same author

Premorbid personality characteristics in Alzheimer's disease: an exploratory case-control study.

Behavioural neurology·2014
Same author

Surface plasmon based thermo-optic and temperature sensor for microfluidic thermometry.

The Review of scientific instruments·2010
Same author

Macrocytic anaemia in children: With a Report of Three Cases Showing Megaloblastic Erythropoiesis.

Archives of disease in childhood·2010
Same journal

Comparing the Psychometric Characteristics of Two 32-Item Versions of the Inventory of Interpersonal Problems: An Extended Replication Study in English and Dutch.

Journal of personality assessment·2026
Same journal

Psychometric Evaluation of a Contextualized Version of the German BFI-2 for the Digital World Across Self- and Other-Ratings.

Journal of personality assessment·2026
Same journal

Case Studies with the Rorschach Test: A Systematic Literature Review.

Journal of personality assessment·2026
Same journal

A Stratified Analysis of Body Perception, Interoception and Somatosensory Brain Processing in Healthy Adults.

Journal of personality assessment·2026
Same journal

Predicting the Level of Suicide Risk with the MMPI-3.

Journal of personality assessment·2026
Same journal

Strengths Knowledge Scale (SKS) and Strengths Use Scale (SUS): Revisiting Psychometric Properties and Gender Invariance in the General Spanish Population.

Journal of personality assessment·2026
See all related articles

Area of Science:

  • Psychology
  • Statistics
  • Biostatistics

Background:

  • Logistic regression is underutilized in personality research due to its recent development and specialized application.
  • Its use has been primarily limited to biostatistics, epidemiology, and economics.

Purpose of the Study:

  • To advocate for the serious consideration of logistic regression in clinical personality investigations.
  • To highlight the suitability of logistic regression for dichotomous or polychotomous outcomes and mixed predictor types.

Main Methods:

  • Discusses the mathematical properties of the logit transformation, emphasizing its threshold concept.
  • Compares logistic regression to familiar methods like multiple linear regression and contingency table analysis.

Related Experiment Videos

Main Results:

  • Logistic regression is mathematically tractable and conceptually relevant to personality variables.
  • Researchers familiar with other regression techniques can readily adapt to logistic regression.

Conclusions:

  • Logistic regression offers a powerful and accessible tool for analyzing dichotomous outcomes in personality research.
  • Its adoption can enhance the rigor and scope of clinical investigations in personality.