Personality Types Research Articles

A new method for identification of traditional Chinese medicine constitution based on tongue features with machine learning.

The theory of Chinese medicine (TCM) constitution contributes to the optimisation of individualised healthcare programmes. However, at present, TCM constitution identification mainly relies on inefficient questionnaires with subjective bias. Efficient and accurate TCM constitution identification can play an important role in individualised medicine and healthcare. Building an efficient model for identifying traditional Chinese medicine constitutions using objective tongue features and machine learning techniques. The DS01-A device was applied to collect tongue images and extract features. We trained and evaluated five machine learning models: Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), LightGBM (LGBM), and CatBoost (CB). Among these, we selected the model with the best performance as the base classifier for constructing our heterogeneous ensemble learning model. Using various performance metrics, including classification accuracy, precision, recall, F1 score, and area under curve (AUC), to comprehensively evaluate model performance. A total of 1149 tongue images were obtained and 45 features were extracted, forming dataset 1. RF, LGBM, and CB were selected as the base learners for the RLC-Stacking. On dataset 1, RLC-Stacking1 achieved an accuracy of 0.8122, outperforming individual classifiers. After feature selection, the classification accuracy of RLC-Stacking2 improved to 0.8287, an improvement of 0.00165 compared to RLC-Stacking1. RLC-Stacking2 achieved an accuracy exceeding 0.85 for identifying each TCM constitution type, indicating excellent identification performance. The study provides a reliable method for the accurate and rapid identification of TCM constitutions and can assist clinicians in tailoring individualized medical treatments based on personal constitution types and guide daily health care. The information extracted from tongue images serves as an effective marker for objective TCM constitution identification.

A cyberterrorist behind the keyboard

Abstract Given the diverse backgrounds of people living in modern societies as well as the international nature of cyber-terrorist threats, profiling the type of person behind cyber-mediated crimes has become a norm in terrorist profiling practice. This study contributes to timely efficient terrorist profiling and threat assessment by showcasing an automated content analysis of cyber-mediated terrorist texts, using natural language processing technology and AI-assisted analysis. To characterise the terrorist type of texts and provide clues to threats, the study employs a ‘psycholinguistic profiling’ approach to authorship analysis (Grant 2008). That is, it seeks to describe the likelihood of an author’s engagement in violent extremist activity, identify motives for violence, and provide clues vis-a-vis would-be and actual violent behaviours. The study takes twenty texts produced by international terrorists involved in jihadism and far-right violent extremism as a case study. The findings reveal the investigative value of automated psycholinguistic profiling for security and intelligence practitioners, with the semantic patterns yielding helpful information for an understanding of the criminal nature of terrorist language. Also revealed is the attentional pattern of extremists and their discourse together with clues-based conclusions about text type, as well as ‘warning’ behaviours and motives for aggression which vary according to the authors’ ideological differences.

The Effects of Problem-Based Learning on the Writing Skills of Students Across Various Personality Types

Problem-based learning (PBL) is an approach where group discussions and collaboration are apparent during problem-solving activities. Accordingly, learners’ personality types that affect the way they think, feel, behave, and interact may potentially have a role in PBL classrooms. This study tries to reveal the possible roles personality types play in PBL by investigating the effects of PBL on the argumentative essay writing of both extroverted and introverted students. This study employed a quasi-experimental design by randomly selecting students in academic writing courses for both the experimental and comparison groups and involving them in the intact classes. The findings revealed that the students in the PBL group scored higher than those in the guided writing group. Moreover, the extroverted students in the PBL group achieved higher mean scores than the extroverted students in the comparison group; however, the difference was insignificant. On the contrary, the statistical analysis showed that the introverted students in the experimental group outperformed those in the comparison group. This is to say that the introverted students taught using PBL had better skills in writing argumentative essays compared to those taught using guided writing techniques. This finding implies the need to use suitable teaching strategies that facilitate both extroverts and introverts in developing their writing skills while also sharpening their communicative and social skills.

Knowledge, attitude and psychological impact of cyberbullying among adolescents. A cross-sectional study.

To identify the awareness, behaviour and psychological impact of cyberbullying among adolescent. A Cross-sectional questionnaire-based study conducted on secondary school students from grades 9-12th. The study got approval from the Institutional Research Board. The Inclusion criterion was school students of all nationalities who were willing to participate. Signed informed consent signed was taken. We used a P value of < 0.05 and a 95% confidence interval (CI). Out of 513 enrolled, 450 completed the survey (response rate 87.7%). Age ranged between 13 to 20 years of them 303 (67.3%) were female. Awareness of cyberbullying was 96.2%. The prevalence of cyberbullying among adolescence was 22.2% (95% CI: 18.89-26.93). 42% of Victims reported cyberbully event leading to stoppage in 78.6% of cases. Most of the victims reported to their parents followed by friends then cyber helpline or Police. Characteristics of perpetrators were males, below-average academic performance and social relations, from same batch, and had emotionally unstable personalities. Association of being a victim does not relate to their Age, gender, grade, or parent's education but relate to their nationality (P < 0.001) and being younger siblings (P < 0.027). Association between event reporting and gender was not significant (P < 0.859). Association between worsening social relationships (teachers and parents) (P < 0.001), feeling neglected (P < 0.001), personality type (agreeableness and emotional instability) (P < 0.016) and being a Cyberbully victim was statistically significant. Association of depression and anxiety with being a cyberbully victim was statistically significant (P < 0.001) and directly proportional to the severity. High rate of awareness and Low prevalence of cyberbullying was found among adolescence. High risk of psychological problems was reported and a good social relationship (teachers and parents) was an important protective factor from it.

Personality type, teams and job satisfaction

Key digested messageResults from a survey of 883 people show that those whose personality type matched that of the team expressed a higher level of job satisfaction and rated team performance higher. Implications for team development are outlined.

Transformation of the Competencies of Students of a Pedagogical University in the Process of Organizing Professional and Mobile Practice

To the problem statement. The article deals with the problem of training profes-sional and pedagogical personnel, which does not meet the modern requirements of professional ed-ucation of future teachers, who are called upon to teach students of the secondary vocational educa-tion system after graduating from a vocational pedagogical university. The basis of this problem is the duality of the content of the activity of teachers, who need to possess not only psychological and pedagogical competencies, but also to master the experience of professional activity in working specialties. This requires a comprehensive transformation of the psychological, pedagogical and professional production competencies of the future teacher of the vocational education system. The purpose of the article is to show that in a professionally oriented environment, the trans-formation of competencies, the complex professional and personal formation of the future teacher of the secondary vocational education system (SPE) is more successfully carried out. The author of the article suggests a solution to this problem through the organization of an industrial practice, which he modernizes as a professionally mobile practice. R. H. Iskhakov argues that the professional personal quality formed in the conditions of this type of practice as professional mobility will contribute to the transformation of the psychological, pedagogical and professional production competencies of the future teacher of the vocational education system. Professional mobility is becoming one of the key conditions for the transformation of the competencies of a future teacher of vocational education. The author of the article presents the basic concepts of transformation and professional mobility at a sufficient and necessary level in the context of the article. The article has scientific and methodological significance, as it presents the methodology of organizing professional and mobile practice. Not only types of practices are presented. but also elective courses that students master before starting the practice itself. Successful organization of professional and mobile practice is possible on the basis of a dual approach to the organization of training – mutual cooperation between representatives of the university and educational organizations of vocational education, on the basis of which the above–mentioned practice of students of a vocational pedagogical university is conducted. In this collaboration, the important role of the master mentor is defined. This concept has been tested in the context of scientific research, the results of which the au-thor presented in the article. The level of formation of professional mobility among students in the conditions of scientific research will be determined by integral criteria: communicative, research competence and adaptability Conclusion. The professional development of a modern teacher largely depends on professional mobility, adaptability, the need for self-improvement, readiness and ability to master new competencies, which is due to rapid changes in personal and professional qualities and types of activity.

The Enneagram: Personality Testing to Improve Your Engagement with Your Team and Patients

I learned about personality testing as a psychology major in undergraduate school. There are many different methods used to identify personality types, including the Myers-Briggs, one of the most used by industry to understand an organization’s or team’s strengths and weaknesses. Enneagrams are based on an ancient philosophic tradition and are used to better understand ourselves and those around us.

The Effect of Group Foodservice Servicescape on Store Image, Relationship Quality and Customer Behavior - Focusing on the Moderating Effect of Personality Type -

The Effect of Group Foodservice Servicescape on Store Image, Relationship Quality and Customer Behavior - Focusing on the Moderating Effect of Personality Type -

USE OF TECHNOLOGIES OF HIGHER NERVOUS ACTIVITY AND PSYCHO-PHYSIOLOGICAL HUMAN FUNCTIONS STUDYING IN EXTREME CONDITIONS

Applied techniques and some results of studies the higher nervous activity (HNA) of the people, their psychophysiological functions (PFF) by Ukrainian scientists and doctors were described, as well as influences of extreme conditions on HNA. Aim. Results of the influence of extreme mountain conditions at high altitudes (hypoxia, etc.) demonstration and further research of changes in the psychophysiological functions of the brain under these conditions; description of the developed methods of professional selection. Methods. Comparative analysis of a large number of the data from experiments and observations. Physical, mathematical, program modeling. Methods of HNA, brain research: electroencephalography, diagnosis of personal neurodynamic features, etc. Three methods of PFF research: parameters of the neurodynamic level, parameters of the neuropsychological level, and personal specifics. The adapted questionnaire scheme (QS) based on Cattell's 16-factor personality tests was applied. Results. The influence of hypoxia and other factors of mountain conditions on HNA were studied deeply. The results were presented. Also, there were presented results of registered changes of EEG in such extreme conditions. The influence of a number of stress factors in extreme conditions (hypoxia, etc.) has been demonstrated. Some basic methods of HNA researches used in such conditions were described as well as results of investigations of individual typological features of the nervous systems were presented. Methods for human psychophysiological functions studying were described. Studies of human personal characteristics were described in details. Data recorded by the PNN-3 device were taken for the diagnosis of personal neurodynamic features. The parameters of the neuropsychological level were determined using the following methods: "triangles" (the level of development of short-term visual memory), "instrument scales" (working memory, attention functions, etc.), and "red and black tables" (allocation and switching of attention). Personality structures, features, and types of behavior of operators in stressful situations were estimated basing on adapted QS by Cattell. Mathematical models of the reliability of human nervous system functioning under extreme conditions were developed. Conclusions. The obtained results were taken as the basis for the developed professional selection methods for special contingents, pilots, operators, etc. Physical, mathematical, and program models of the reliability of the human nervous system functioning in these conditions were proposed.

Digital age imperatives and firm internal control quality: evidence from CEOs personal trait and type of state-owned enterprises

PurposeIn the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It also explores how the personal traits of (CEOs) – such as age, gender and educational background – intersect with DT to shape the IC quality in various types of state-owned enterprises (SOEs).Design/methodology/approachThe study uses the data from China A-shares non-financial enterprises, listed on Shanghai and Shenzhen stock exchanges between 2007 and 2020. Using the fixed effect regression method alongside various statistical techniques, such as propensity score matching, alternative analysis and instrumental variables analysis, yields robust findings. These methods effectively address issues related to functional form misspecification and potential biases from omitted explanatory variables.FindingsThe findings reveal a positive impact of DT on firm IC quality, and this impact is more pronounced in firms when the CEO is female, young and possesses a higher level of education. Notably, the study also distinguishes between central and local state-owned enterprises (SOEs), highlighting that DT has a greater influence on IC quality in central SOEs, where CEOs often have higher political ranks and closer to government monitoring. Overall, the findings are robust and consist to alternative variable and other statistical methods.Research limitations/implicationsFollowing are the significant implications for both academia and business. First, firms that effectively adopt DT to enhance IC not only gain a strategic advantage over competitors but also establish efficient risk management practices and a robust IC system. Second, better IC resulting from DT can enhance investor and stakeholder confidence. This is particularly important for publicly traded companies, where investors and analysts closely scrutinize the robustness of IC systems. Third, DT could result in cost savings over time, as automation and streamlined processes may reduce the need for manual efforts and resource-intensive tasks associated with IC.Originality/valueThe findings are contributed to the literature in multiple ways. It enhances our comprehension of the intricate DT-IC quality relationship, and provides valuable insights into the transformative impact of DT on organizational operations and risk management. It also introduces a novel perspective by investigating how CEOs personal traits intersect with DT to shape IC quality, contributing to upper echelons theory. Furthermore, it expands the discussions on firm ownership by considering the types of SOEs (central vs. local), in the DT-IC quality context.

Total, Between-, and Within-Item Attribute Person Fit Analysis Using Mokken Scaling Techniques: An Exploratory Nonparametric Approach to Person Fit

The purpose of this study was to consider how researchers can incorporate item attributes into nonparametric person fit analysis for the purpose of providing additional insight into person fit beyond what is available using typical total-scale person fit approaches. Inspired by parametric person fit statistics that consider patterns of residuals at the total-scale, between-item-attribute, and within-item-attribute levels, we proposed simple adaptations to standard Mokken Scale Analysis (MSA) person fit analysis techniques to reflect these three levels of person fit analysis. We demonstrated the technique using a secondary analysis of survey data related to learning motivation and considered how the results may be interpreted in an affective assessment context. We used a simple exploratory simulation study to consider the techniques under a wider range of conditions. Overall, the results suggested that it is possible to incorporate item attributes into MSA person fit analysis at the total-scale, between-item-attribute, and within-item attribute levels, and that each set of analyses provides a unique perspective on person fit.

A Study on the Musical Preferences of Twenties by Enneagram Personality Type

A Study on the Musical Preferences of Twenties by Enneagram Personality Type

Who is Who: Entrepreneurs’ Personality Types

Who is Who: Entrepreneurs’ Personality Types

Validity of temperament-based clinical personality types in a large sample of psychiatric inpatients

Validity of temperament-based clinical personality types in a large sample of psychiatric inpatients

Analysing the Mathematical Critical and Creative Thinking Abilities in Problem Solving Introverted Students

This study aims to evaluate the critical and creative thinking abilities in the context of mathematics when solving problems related to arithmetic sequences and series among introverted students in the 11th grade at Xaverius 1 High School in Jambi City. This issue arises due to differences in thinking skills and cognitive processes among students based on personality types, where it was found that introverted students tend to have low mathematical critical and creative thinking abilities. The research method employed is a descriptive qualitative approach, collecting data through personality questionnaires, tests, and interviews. Research subjects were selected from introverted students based on personality questionnaire results and answer sheet analysis, with three students representing the various response groups. The results of this study indicate that introverted students demonstrate good mathematical critical thinking skills in understanding problems, planning, and implementing plans. However, they tend to overlook rechecking their solutions. The creative mathematical thinking abilities of introverted students mainly involve fluency and flexibility in understanding problems, planning, and implementing plans, although they lack in terms of originality and elaboration in problem-solving

Association between personality type and patient-reported outcomes (PRO) in patients with atrial fibrillation

BackgroundAtrial Fibrillation (AF) is known to be associated with a negative emotional state. Patient-reported outcomes (PROs) are important tools for evaluating the endpoints of AF management. This study aims to examine the correlation between personality types and PROs in patients with AF.MethodsAll included subjects were newly diagnosed with AF fewer than one month, and their personality types were assessed using the Eysenck Personality Questionnaire (EPQ). Quality of life (QoL) was measured using the Atrial Fibrillation Effect on Quality of Life (AFEQT) questionnaire. Anxiety and depression were assessed using the General Anxiety Scale (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9), respectively. We constructed stepwise linear regression analyses for factors related to the QoL and emotional state in patients with AF.ResultsA total of 531 AF patients completed the survey and were categorized into four groups based on their personality types. Of these patients (mean age: 67.12 ± 10.93 years, 50.28% male), 357 (67.23%) had paroxysmal AF, and 16.95% (n = 90) had a sanguine personality. Compared to patients with other personality types, those with a sanguine personality had the highest average AFEQT scores (P < 0.001) and the lowest scores of GAD-7 and PHQ-9 scales (P < 0.05). Furthermore, multiple linear regression analyses suggested that sanguine personality was also independently associated with better QoL and emotional states (P < 0.05).ConclusionThere is a significant association between the personality types and PROs in AF patients.

Empowering Indonesian Women Migrant Workers in Singapore: the Role of Conflict Management Training and Personality-Based Communication for Migrant Workers Community

The present study focuses on a community service project designed to evaluate the efficacy of conflict management training and personality-based communication strategies on Indonesian female migrant workers in Singapore, who are also students at the Open University of Indonesia. The project's primary objective was to aid participants in comprehending themselves and their coworkers more effectively, and to develop practical skills for resolving conflicts and communicating effectively in diverse work environments. Conflict management training encompasses case studies, role-playing, and group discussions, enabling participants to acquire knowledge regarding different conflict management styles and effective communication techniques based on personality types. The post-training evaluation revealed a significant improvement in the participants' comprehension of personality types and their capacity to manage conflicts. This study highlights the significance of incorporating personality aspects into conflict management and communication training, and the advantages of such training in enhancing interpersonal relationships and productivity in the workplace, as well as managing conflicts between individuals and organisations.

Predictive influence of personality types on truancy behaviours among undergraduates in Osun State, Nigeria

Predictive influence of personality types on truancy behaviours among undergraduates in Osun State, Nigeria

Personality matters – The interplay between consistent individual differences and mouse welfare in female C57BL6/J mice

To ensure good welfare of animals in human hands, it is essential to modify housing conditions according to the animals’ needs. Traditionally, the effects of such modifications are studied by means of group-level comparisons, thereby widely neglecting consistent inter-individual differences (i.e., so-called ‘animal personalities’). However, as animals with distinct personality types might differ in their environmental needs and hence react differently to the same environment, such systematic inter-individual differences might have important welfare consequences. This becomes particularly apparent under laboratory conditions, where animals are typically housed under highly standardized and barren environments. Against this background, we here aim to investigate personality-dependent welfare consequences in response to different housing conditions in laboratory mice. Female C57BL/6J mice were characterized for their personality type in exploration behavior and the most and the least explorative individuals were set up in either simple or in highly complex housing conditions that included constantly changing environmental enrichment items. We monitored individual welfare by studying behavioral, physiological, and immunological outcome measures. Besides personality-dependent differences in immune parameters and overall improved welfare under complex housing conditions, we indeed found hints that individual mice were differently affected in their welfare depending on the specific combination of personality type and housing condition. Specifically, highly explorative mice appeared to be more adversely affected by simple housing, but also profited more from complex housing compared to low explorative mice. These findings indicate that welfare promoting adjustments do not necessarily benefit all individuals equally and therefore, call for a shift of perspectives in the evaluation of animal welfare.

Enhancing MBTI Personality Prediction from Text Data with Advance Word Embedding Technique.

Understanding human personality traits is crucial for various domains, including psychology, education, and human resources. The Myers-Briggs Type Indicator (MBTI) is a widely recognized psychological assessment tool, categorizing individuals into one of sixteen distinct personality types. The existing methodologies, which primarily relied on Word2Vec embeddings and traditional machine learning models, showed promise but left room for improvement. To address this problem, this research focused on enhancing Myers-Briggs Type Indicator (MBTI) personality prediction from text data through advanced word-embedding techniques, specifically GloVe and BERT. The research investigates the effectiveness of various Machine Learning Classifiers, including Random Forest, XGBoost, LinearSVC, SGD, Logistic Regression, and CatBoost, in predicting MBTI personality types. Additionally, the impact of preprocessing techniques such as text cleaning, tokenization, TF-IDF vectorization, GloVe, and BERT embeddings on classification performance is examined. Furthermore, the research explores strategies for addressing class imbalance through upsampling techniques. Results indicate high accuracy and performance across multiple classifiers, with XGBoost achieving the highest accuracy of 97.33%. The analysis of MBTI dimensions reveals nuanced insights into the classifiers' ability to capture specific personality traits.