P. A. Arbisi and Y. S. Ben-Porath (1995) originally proposed that the Infrequency Psychopathology scale, F(p), be used as the final step in an algorithm to determine the validity of a Minnesota Multiphasic Personality Inventory-2 (MMPI-2) protocol. The current study used taxometric procedures to determine the latent structure of F(p) among examinees with profiles that would necessitate the interpretation of F(p) when using Arbisi and Ben-Porath's proposed algorithm. Participants included a subsample of 289 consecutively referred pretrial forensic examinees adjudicated incompetent to stand trial with high Infrequency (F) scale scores, thereby providing a sample that would be expected to have a high base rate of persons with bona fide psychopathology and persons with incentive to overreport psychopathology. Using MAMBAC and MAXEIG, F(p) produced a taxonic latent structure within the subgroup of examinees who obtained raw scores on F of greater than 17. These results support Arbisi and Ben-Porath's original proposal to use F(p) to identify a distinct subgroup of overreported MMPI-2 protocols within forensic psychiatric examinees with high elevations on F. Implications and suggestions for future research are provided.

Download full-text PDF

Source
http://dx.doi.org/10.1037/1040-3590.18.3.250DOI Listing

Publication Analysis

Top Keywords

latent structure
12
arbisi ben-porath's
8
evaluating latent
4
structure mmpi-2
4
mmpi-2 scale
4
scale forensic
4
forensic sample
4
sample taxometric
4
taxometric analysis
4
analysis arbisi
4

Similar Publications

Background: The International Index of Erectile Function (IIEF) stands out for its utility and widespread use to measure sexual function in men. However, it lacks consistency in its internal latent structure across studies, has not been evaluated for measurement invariance, and has not undergone psychometric validation for its 15-item form in Spanish among South American countries.

Aim: To examine the IIEF's psychometric evidence (ie, structural/criterion validity and reliability) in a sample of adult men and determine its measurement invariance across relationship status (single vs in a relationship) and age generations (generations Z, Y/millennials, and X).

View Article and Find Full Text PDF

This research seeks to investigate the factors related to the nature of the organization and its role in brand identity. The research was conducted in the field of biological industry. Razi Institute is the leader of the vaccine industry in terms of a variety of products and production of more than 70% of the country's market needs and is a propitious case for studying this industry.

View Article and Find Full Text PDF

Identification of serum biomarkers for cystic echinococcosis in sheep through untargeted metabolomic analysis using LC-MS/MS technology.

Parasit Vectors

December 2024

State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis and College of Veterinary Medicine, Jilin University, Changchun, 130062, China.

Background: Echinococcosis is a zoonotic disease caused by an Echinococcus tapeworm infection. While diagnostic methods for humans often rely on ultrasound imaging and immunodiagnostic techniques, diagnosis in intermediate hosts typically has no widely used diagnostic markers, hampering disease control efforts.

Methods: The differences in serum metabolites of sheep infected with Echinococcus granulosus and a control group were analyzed using ultrahigh-performance liquid chromatography (UHPLC) separation with tandem mass spectrometry (MS/MS) detection.

View Article and Find Full Text PDF

Background: In the healthcare sector, the quality of medical services largely depends on the work of medical staff. Improving employee performance can impact the efficiency and productivity of a healthcare entity. Therefore, proper talent management practices are needed to achieve good outcomes.

View Article and Find Full Text PDF

Objective: To explore the health information avoidance behaviors and influencing factors of cancer patients, and to construct a structural equation model to analyze the mediating roles of self-efficacy and negative emotions in the process of generating health information avoidance behaviors of cancer patients.

Methods: A face-to-face electronic questionnaire was used to collect data. Applying a chi-square test and multivariate logistic regression model to analyze the role of different socio-demographic factors in influencing health information avoidance behavior of cancer patients; applying structural equation modeling to analyze the role mechanism of health information avoidance behavior of cancer patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!