The relationship between Loevinger's measure of ego development and the Wechsler Intelligence Scales subtest scores was investigated in 91 adolescent and young adult psychiatric inpatients. Correlations with Verbal IQ and verbal subtests in general were positive and significant. The correlation with the Comprehension subtest was the highest and remained significant when Full Scale IQ was partialled. Post-conformists obtained the highest mean scores on Picture Arrangement; however, there was no difference among the lower stages on this subtest. The results lend support to a social reasoning component of ego development.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1207/s15327752jpa4903_9 | DOI Listing |
BMC Med Educ
January 2025
Department of Didactics of Musical, Plastic and Corporal Expression, Faculty of Education Sciences, University of Granada, Granada, Spain.
Background: Motivation is a variable that directly influences task orientation. Within the motivational sphere, the motivational climate determines whether a task is performed with an intrinsic or extrinsic.
Purpose: It has been observed that depending on motivational orientations, anxiety levels and task performance can be increased.
Behav Sci (Basel)
November 2024
School of Psychology, Northeast Normal University, Changchun 130024, China.
Fairness-related decision-making often involves a conflict between egoistic and prosocial motives. Previous research based on Terror Management Theory (TMT) indicates that mortality salience can promote both selfish and prosocial behaviors, leaving its effect on fairness-related decision-making uncertain. This study integrates TMT with the strength model of self-control to investigate the effects of mortality salience on fairness-related decision-making and to examine the moderating role of dispositional self-control.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFAm J Psychiatry
January 2025
Directorate of Behavioral Health, Walter Reed National Military Medical Center, Bethesda, MD (Wolfgang); Departments of Psychiatry (Wolfgang) and Medical and Clinical Psychology (Gray), Uniformed Services University, Bethesda, MD; Departments of Psychiatry (Wolfgang, Krystal), Neuroscience (Krystal), and Psychology (Krystal), Yale University School of Medicine, New Haven, CT; Center for Psychedelic Research and Therapy, Department of Psychiatry and Behavioral Sciences, The University of Texas at Austin Dell Medical School (Fonzo, Nemeroff); Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, UCLA (Grzenda); Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis (Widge); Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham (Kraguljac); Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University and Veterans Affairs Palo Alto Health Care System, Palo Alto, CA (Rodriguez).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!