An explanation of why personality scales predict is drawn from the tenets of logical learning theory (Rychlak, 1977). This theory holds that behavior is not only responsive in nature, but also telosponsive, i.e., enacted intentionally for the sake of premises. Personality scales tap the subject's premises concerning some aspect of behavior, the meanings of which are then extended in behavior telosponsively so that a prediction to some criterion performance becomes possible. The subject in effect creates the behavior based on his or her premises. An important telosponse inhuman learning is that of affective assessment, which is operationalized as reinforcement value (like-dislike). Two experiments establish the role of reinforcement value in scale measurement and prediction. The first demonstrates that subjects score higher on personality dimensions which they like very much than on dimensions which they greatly dislike. The second experiment then establishes that a personality dimension which a subject both likes and scores highly on is more predictive to an independently assessed manifestation of this personality characteristic than is a comparable dimension which is disliked.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1207/s15327752jpa4505_7 | DOI Listing |
Mil Med
January 2025
Department of Military and Emergency Medicine, Uniformed Services University, Bethesda, MD 20814, USA.
Introduction: In current and anticipated future conflicts, including large-scale combat operations, medical teams are tasked to provide prolonged casualty care (PCC) or extended patient care that occurs when delays in evacuation exceed the team's capabilities. Although the principles of PCC are often taught to military medical providers using simulation, educators rarely dedicate the time to training required to simulate the prolonged nature of these encounters. Therefore, a lack of knowledge exists regarding which aspects of extended care may be lost in an accelerated training scenario.
View Article and Find Full Text PDFJ Mol Neurosci
January 2025
Department II of Acupuncture and Moxibustion, Dongzhimen Hospital Beijing University of Chinese Medicine, No. 116, Cuiping West Road, Tongzhou District, Beijing, 101121, China.
The purpose of this study was to investigate the expression of miR-499a-5p in children with autism spectrum disorders (ASD) and its value in early diagnosis of ASD. This is a retrospective case-control study that included 40 children with ASD as a case group and 43 healthy children as a control group. Magnetic resonance imaging (MRI) was performed on all subjects, and the children were scored with childhood autism rating scale (CARS) and autism behavior checklist (ABC).
View Article and Find Full Text PDFJ Patient Rep Outcomes
January 2025
Department of Clinical Medicine, Faculty of Health, University of Copenhagen, Copenhagen, Denmark.
Background: Patient Reported Outcomes Measurement Information System Fatigue Short-Form (PROMIS-F-SF) is a self-administered, patient reported outcome (PRO) designed to assess fatigue in healthy and clinical populations and for tracking progress during treatment for disorders complicated with fatigue.
Methods: Patients in the Mental Health Service Outpatient Clinics and healthy volunteers were invited to complete a survey, which included the Danish translation of the PROMIS-F-SF, the Chalder Fatigue Scale (CFS-11), and measures of depression and anxiety. We conducted a confirmatory factor analysis of the previously suggested single-factor structure of the instrument.
Aging Clin Exp Res
January 2025
Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Loneliness, social isolation, and living alone are significant risk factors for mortality, particularly in older adults. This systematic review and meta-analysis aimed to quantify their associations with all-cause and cause-specific mortality in older adults, broadening previous research by including more social factors. Comprehensive searches were conducted in PubMed, APA PsycINFO, and CINAHL until December 31, 2023, following PRISMA 2020 and MOOSE guidelines.
View Article and Find Full Text PDFJ Appl Psychol
January 2025
Department of Psychology, School of Labor and Employment Relations, University of Illinois Urbana-Champaign.
The covariance index method, the idiosyncratic item response method, and the machine learning method are the three primary response-pattern-based (RPB) approaches to detect faking on personality tests. However, less is known about how their performance is affected by different practical factors (e.g.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!