rekordy: Big Five personality traits

Evidence: 100 • authority: 72

In psychology and psychometrics, the Big Five personality trait model or five-factor model (FFM), sometimes called by the mnemonic acronym OCEAN or CANOE, is a scientific model for measuring and describing human personality traits. The framework groups variation in personality into five separate factors, all measured on a continuous scale: openness (O) measures creativity, curiosity, and willingness to entertain new ideas. conscientiousness (C) measures self-control, diligence, and attention to detail. extraversion (E) measures boldness, energy, and social interactivity. agreeableness (A) measures kindness, helpfulness, and willingness to cooperate. neuroticism (N) measures depression, irri…

Evidence: 54 • authority: 92

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.. The rapid advancement of artificial intelligence (AI), particularly large language models (LLMs), has introduced powerful tools for various research domains, including psychological scale development. This study presents a methodology for efficiently generating and selecting high-quality, non-redundant items for psychological assessments using LLMs and network psychometrics. Our approach, termed Automatic Item Generation and Validation with Network-Integrated Evaluation (AI-GENIE), reduces reliance on expert intervention by integrating generative AI with the latest network ps…

Evidence: 48 • authority: 92

Quantifying spectral information and redundancy in high-dimensional personality taxonomies: an entropy-based approach.. Background Personality assessment involves the collection and organization of information into multidimensional taxonomies. However, no routinely used index directly quantifies the amount of information encoded in such taxonomies. Effective dimensionality (ED) is a Shannon entropy-based metric that uses eigenvalue distributions to quantify a system's spectral information as the effective number of non-redundant components. Although ED has been applied across fields ranging from physics to political science, it remains underutilized in psychological assessment. Methods Afte…

Evidence: 47 • authority: 80

Table 4: Performance of classification models using different dimensionality reduction techniques.

Evidence: 47 • authority: 92

Multimodal Correlates of Longitudinal Functional Decline in Behavioral Variant Frontotemporal Dementia (bvFTD).. Background and Objectives: Functional decline is a major determinant of disability, caregiver burden, and loss of independence in behavioral variant frontotemporal dementia (bvFTD). Although bvFTD is characterized by early and rapidly progressive deterioration in everyday functioning, the multimodal contributors associated with longitudinal functional change remain insufficiently understood. The present study aimed to identify the strongest cognitive, behavioral, personality, and neuroimaging correlates of longitudinal functional deterioration in bvFTD using an integrated multimo…

Evidence: 47 • authority: 92

A novel student dataset for ML based effective career growth recommendation.. Educational Data Mining (EDM) techniques are increasingly employed to analyze student data for predicting optimal career paths and providing tailored recommendations. A major challenge, however, is the lack of a benchmark dataset that effectively supports this objective, along with the difficulty of identifying the most relevant student attributes for career growth decision support. This study addresses the need for a comprehensive and well-structured dataset to facilitate research on personalized career growth recommendations for engineering students. It presents the methodology used to curate and preprocess a no…

Evidence: 39 • authority: 80

Comparative Analysis of Dimensionality Reduction Techniques

Evidence: 39 • authority: 80

Dimensionality and prototype reduction techniques for pattern analysis

Evidence: 36 • authority: 92

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.. Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OCD), yet a significant number of patients do not achieve remission or substantial symptom relief. This study aims to enhance the prediction of CBT outcomes in OCD by integrating demographic, clinical, and neuroimaging data using machine learning (ML) models. We conduct a comprehensive analysis on a well-characterized clinical sample, employing a rigorous validation scheme to avoid data leakage, and comparing multiple ML algorithms to minimize bias. Out of four different M…

Evidence: 36 • authority: 72

Antisocial personality disorder (ASPD) is a personality disorder defined by a chronic pattern of behavior that disregards the rights and well-being of others. People with ASPD often exhibit behavior that conflicts with social norms, leading to issues with interpersonal relationships, employment, and legal matters. The condition generally manifests in childhood or early adolescence, with a high rate of associated conduct problems and a tendency for symptoms to peak in late adolescence and early adulthood. The prognosis for ASPD is complex, with high variability in outcomes. Individuals with severe ASPD symptoms may have difficulty forming stable relationships, maintaining employment, and avo…

Evidence: — • authority: 72

Psychology is the scientific study of the mind and behavior. Its subject matter includes the behavior of humans and nonhumans, both conscious and unconscious phenomena, and mental processes such as thoughts, feelings, and motives. Psychology is an academic discipline of broad scope, crossing the boundaries between the natural and social sciences. A professional practitioner or researcher involved in the discipline is called a psychologist. Some psychologists can also be classified as behavioral or cognitive scientists. Some psychologists attempt to understand the role of mental functions in individual and social behavior. Others explore the physiological and neurobiological processes that u…

Evidence: — • authority: 72

In psychology, trait theory (also called dispositional theory) is an approach to the study of human personality. Trait theorists are primarily interested in the measurement of traits, which can be defined as habitual patterns of behavior, thought, and emotion. According to this perspective, traits are aspects of personality that are relatively stable over time, differ across individuals (e.g., some people are outgoing whereas others are not), are relatively consistent over situations, and influence behaviour. Traits are in contrast to states, which are more transitory dispositions. Traits such as extraversion vs. introversion are measured on a spectrum, with each person placed somewhere alo…