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Big Five model. --- Personality assessment.

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In deze scriptie wordt onderzocht in welke mate de Big Five persoonlijkheidskenmerken het vrijwillig consuminderen beïnvloeden. De persoonlijkheid van een persoon kan volgens de Big Five ingedeeld worden in vijf persoonlijkheidskenmerken: extraversie, vriendelijkheid, zorgvuldigheid, emotionele stabiliteit en intellectuele autonomie. Consuminderen wordt in dit onderzoek gezien als minder consumeren en/of minder verdienen op vrijwillige basis.

Big Five. --- Consuminderen. --- Downshiften. --- Emotionele stabiliteit. --- Extraversie. --- Intellectuele autonomie. --- Persoonlijkheidskenmerken. --- S191-marktstudie. --- S196-sociale-economie. --- Voluntary simplicity. --- Vriendelijkheid. --- Zorgvuldigheid.

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Thurstone's principle of simple structure is rejected and replaced by its converse, the principle of complex structure. Varimax, the popular simple structure rotation of factors, is replaced by varimin, a novel procedure taking account of the complexity of investigated variables (s. Ertel, 2011). An exploratory factor analysis of a similarity matrix of 16 kinship terms showed that expected semantic features (sex, generation, nuclear family, lineality) manifest themselves by varimin rotation,while distorted clusters of kinship terms are obtained by varimax rotation. Varimin rotation was also applied to five PCA-factors obtained from 30 facet variables of NEO-PI-R (Ostendorf & Angleitner, 2004). As expected, variminrotated factors do not replicate the Big-Five factors neuroticism, extraversion, etc., they rather reveal basic componential features (usually called „dimensions‟): activation level (high-low), activation slope (ascending-descending), source of regulation (endodynamic- exodynamic), phenomenal quality (endomodal-exomodal), and functionality (eufunctional vs. dysfunctional). The well-known Big-Five factors represent clusters of those features rather than simple dimensions. Sensation seeking, internalexternal control, i. e. further constructs of simple structure- oriented research, are likewise conceivable as patterns of functioning based on those five componential features. The validity of the five features obtained by varimin has largely been confirmed by rankings of the 30 NEO-PI-R facets using the features as judgmental criteria. Replacing Thurstonian simple structure by procedures aiming at complex structure might help to generate a systemic architecture in the personality and individual differences domains. More psychological functioning might be made transparent by modelling patterns of basic features. Seit über 70 Jahren kursieren in der Psychologie faktorenanalytische Modelle der Persönlichkeit. Methodologische Kontroversen, die jahrzehntelang die Szene beherrschten, wurden seit etwa zwei Jahrzehnten von einem zunehmenden Konsens abgelöst. Das Fünf-Faktoren-Modell (FFM) hat die Vorherrschaft gewonnen. Das FFM ist indessen mit schwerwiegenden Mängeln behaftet, was die theoretische Deutung der fünf Dimensionen betrifft. Der Verfasser hat dafür einen bislang unerkannten Fehler in den Grundauffassungen der Psychometrie verantwortlich machen können (Ertel, 2011). In seiner vorliegenden Schrift wird die Szene der methodisch und theoretisch mangelhaften Persönlichkeitsforschung aufgerollt. Ein neues Verfahren der Faktorenrotation (Varimin) wird eingesetzt, das im Unterschied zur bisherigen Modellierung, das sich dem Prinzip der Einfachstruktur verschrieben hatte, der Komplexität der analysierten Variablen Rechnung trägt. Das Verfahren, das für die faktorenanalytische Forschung ein neues Paradigma eröffnet, ermittelt Varianzquellen der Persönlichkeit, die als Basiskomponenten eines psychophysischen Ganzen eine funktionale Einheit erkennen lassen. Damit werden die Hindernisse überwunden, die einem theoretischen Verständnis der Ergebnisse faktorenanalytischer Persönlichkeitsforschung bisher im Wege standen.

Social Sciences --- Psychology --- Psychological Research --- Data Collection --- Indentity --- Personality --- Big Five (Psychologie) --- Energie --- Faktorenanalyse --- Introversion und Extraversion --- Konfiguration von Mintzberg --- Konstrukt --- Semantik

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Since the second edition of this authoritative text was published in 2002, the research base supporting the Five-Factor Model (FFM) of personality disorder has more than quadrupled. As a result, the vast majority of this volume is new. In the upcoming fifth edition of the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (DSM-5), the major innovation for the personality disorders will likely be a shift from the classic syndrome-based approach to a dimensional description approach. The new approach views personality disorder as a collection of maladaptive variants of normal personality traits. Whether a clinical disorder is present depends on whether an individual experiences significant functional impairment. Because this approach allows clinicians to describe each patient in terms of the personality traits most relevant to his/her experiences and dysfunction, the result is a more accurate diagnosis and more effective treatment. This book explains how personality disorders can be understood from the perspective of the FFM, the most heavily researched and empirically supported dimensional model of general personality structure. The chapters summarize the conceptual and empirical support for the FFM, including the dimensional description of specific personality disorders and the application of the model for assessment and treatment. Case studies are also provided. The volume is an essential reference for clinicians, researchers, and graduate students who work with personality disorders. No other currently published text is as fully informed or as closely coordinated with the likely forthcoming DSM-5 personality disorder nomenclature.

Personality disorders --- NEO Five-Factor Inventory --- #KVHB:Persoonlijkheidsstoornissen --- #KVHB:Psychodiagnostiek --- #KVHB:Test; Big Five --- Disorders of personality --- Personality --- Personality, Disorders of --- Psychology, Pathological --- NEO-FFI (Personality test) --- Personality tests --- Disorders --- Personality disorders. --- NEO Five-Factor Inventory.

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Artificial intelligence (AI) is changing the world as we know it. Recent advances are enabling people, companies, and governments to envision and experiment with new methods of interacting with computers and modifying how virtual and physical processes are carried out. One of the fields in which this transformation is taking place is education. After years of witnessing the incorporation of technological innovations into learning/teaching processes, we can currently observe many new research works involving AI. Moreover, there has been increasing interest in this research area after the COVID-19 pandemic, driven toward fostering digital education. Among recent research in this field, AI applications have been applied to enhance educational experiences, studies have considered the interaction between AI and humans while learning, analyses of educational data have been conducted, including using machine learning techniques, and proposals have been presented for new paradigms mediated by intelligent agents. This book, entitled “AI in Education”, aims to highlight recent research in the field of AI and education. The included works discuss new advances in methods, applications, and procedures to enhance educational processes via artificial intelligence and its subfields (machine learning, neural networks, deep learning, cognitive computing, natural language processing, computer vision, etc.).

Information technology industries --- performance measurement --- key performance indicators --- educational data mining --- institutes performance --- governance --- educational mining --- machine learning --- artificial intelligence --- decision support systems --- systematic literature review --- learning styles --- hybrid university teaching --- e-behaviour --- big five personality --- student performance --- plagiarism --- ethics --- academic dishonesty --- online education --- higher education --- AS&P model --- Pakistan --- performance measurement --- key performance indicators --- educational data mining --- institutes performance --- governance --- educational mining --- machine learning --- artificial intelligence --- decision support systems --- systematic literature review --- learning styles --- hybrid university teaching --- e-behaviour --- big five personality --- student performance --- plagiarism --- ethics --- academic dishonesty --- online education --- higher education --- AS&P model --- Pakistan