Typical Intellectual Engagement
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Typical Intellectual Engagement
Typical intellectual engagement (TIE) is a personality psychology, personality construct referring to a person's enjoyment (or dislike) of intellectually demanding activities. TIE was developed to identify aspects of personality most closely related to intelligence and knowledge and measures a person's ''typical performance'' in intellectual domains rather than their ''maximal performance'' (intellectual capacity measured by IQ tests). TIE is moderately positively associated with crystallized intelligence, and with general knowledge, and predicts academic performance. TIE is hard to distinguish from the earlier construct need for cognition and is positively correlated with openness to experience. Typical performance vs. maximal performance Goff and Ackerman proposed a distinction between ''typical'' and ''maximal'' performance on intellectual tasks. Traditional approaches to intelligence testing attempt to assess capacity or maximal performance and aim to minimise the impact of s ...
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The Thinker, Rodin
''The'' () is a grammatical Article (grammar), article in English language, English, denoting persons or things already mentioned, under discussion, implied or otherwise presumed familiar to listeners, readers, or speakers. It is the definite article in English. ''The'' is the Most common words in English, most frequently used word in the English language; studies and analyses of texts have found it to account for seven percent of all printed English-language words. It is derived from gendered articles in Old English which combined in Middle English and now has a single form used with pronouns of any gender. The word can be used with both singular and plural nouns, and with a noun that starts with any letter. This is different from many other languages, which have different forms of the definite article for different genders or numbers. Pronunciation In most dialects, "the" is pronounced as (with the voiced dental fricative followed by a schwa) when followed by a consonant s ...
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Sophie Von Stumm
Sophie von Stumm (born 1983 in Munich) is a professor of psychology in education who studies the causes and consequences of individual differences in psychological and behavioural development across the life course. Biography von Stumm attended the Schadow-Gymnasium in Berlin which she graduated from with an Abitur certificate in 2002. After receiving a BSc degree at Royal Holloway University in 2006 and an MSc at the University of Edinburgh in 2007, she completed her PhD in Psychology at Goldsmiths University of London on the topic of intelligence-personality associations in 2010. Afterwards she was awarded an ESRC postdoctoral fellowship that she completed at the Department of Psychology at the University of Edinburgh. She was lecturer and senior lecturer in Psychology at Goldsmiths University of London (2012-2017) and Associate Professor at the London School of Economics (2017-2019). She is currently professor of psychology in education at the University of York. von Stumm' ...
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Differential Psychology
Differential psychology studies the ways in which individuals differ in their behavior and the processes that underlie it. This is a discipline that develops classifications (taxonomies) of psychological individual differences. This is distinguished from other aspects of psychology in that although psychology is ostensibly a study of individuals, modern psychologists often study groups, or attempt to discover general psychological processes that apply to all individuals. This particular area of psychology was first named and still retains the name of "differential psychology" by William Stern in his book (1900). While prominent psychologists, including Stern, have been widely credited for the concept of individual differences, historical records show that it was Charles Darwin (1859) who first spurred the scientific interest in the study of individual differences. His interest was further pursued by his half-cousin Francis Galton in his attempt to quantify individual differences ...
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Big Five Personality Traits
The Big Five personality traits is a suggested taxonomy, or grouping, for personality traits, developed from the 1980s onward in psychological trait theory. Starting in the 1990s, the theory identified five factors by labels, for the US English speaking population, typically referred to as: * openness to experience (inventive/curious vs. consistent/cautious) *conscientiousness (efficient/organized vs. extravagant/careless) * extraversion (outgoing/energetic vs. solitary/reserved) * agreeableness (friendly/compassionate vs. critical/rational) * neuroticism (sensitive/nervous vs. resilient/confident) When factor analysis (a statistical technique) is applied to personality survey data, it reveals semantic associations: some words used to describe aspects of personality are often applied to the same person. For example, someone described as conscientious is more likely to be described as "always prepared" rather than "messy". These associations suggest five broad dimensions used i ...
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Discriminant Validity
In psychology, discriminant validity tests whether concepts or measurements that are not supposed to be related are actually unrelated. Campbell and Fiske (1959) introduced the concept of discriminant validity within their discussion on evaluating test validity. They stressed the importance of using both discriminant and Convergent validity, convergent validation techniques when assessing new tests. A successful evaluation of discriminant validity shows that a test of a concept is not highly correlated with other tests designed to measure theoretically different concepts. In showing that two scales do not correlate, it is necessary to correct for attenuation in the correlation due to measurement error. It is possible to calculate the extent to which the two scales overlap by using the following formula where r_ is correlation between x and y, r_ is the reliability of x, and r_ is the reliability of y: :\cfrac Although there is no standard value for discriminant validity, a result ...
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Curiosity
Curiosity (from Latin '' cūriōsitās'', from ''cūriōsus'' "careful, diligent, curious", akin to ''cura'' "care") is a quality related to inquisitive thinking such as exploration, investigation, and learning, evident by observation in humans and other animals. Curiosity is heavily associated with all aspects of human development, in which derives the process of learning and desire to acquire knowledge and skill. The term ''curiosity'' can also be used to denote the behavior or emotion of being curious, in regard to the desire to gain knowledge or information. Curiosity as a behavior and emotion is attributed over millennia as the driving force behind not only human development, but developments in science, language, and industry. Causes Curiosity can be seen as an innate quality of many different species. It is common to human beings at all ages from infancy through adulthood, and is easy to observe in many other animal species; these include apes, cats, and rodents. Ear ...
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Conscientiousness
Conscientiousness is the personality trait of being careful, or diligent. Conscientiousness implies a desire to do a task well, and to take obligations to others seriously. Conscientious people tend to be efficient and organized as opposed to easy-going and disorderly. They exhibit a tendency to show self-discipline, act dutifully, and aim for achievement; they display planned rather than spontaneous behavior; and they are generally dependable. It is manifested in characteristic behaviors such as being neat, and systematic; also including such elements as carefulness, thoroughness, and deliberation (the tendency to think carefully before acting). Conscientiousness is one of the five traits of both the Five Factor Model and the HEXACO model of personality and is an aspect of what has traditionally been referred to as having character. Conscientious individuals are generally hard-working, and reliable. When taken to an extreme, they may also be "workaholics", perfectio ...
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Collider (epidemiology)
In statistics and causal graphs, a variable is a collider when it is causally influenced by two or more variables. The name "collider" reflects the fact that in graphical models, the arrow heads from variables that lead into the collider appear to "collide" on the node that is the collider. They are sometimes also referred to as inverted forks. The causal variables influencing the collider are themselves not necessarily associated. If they are not adjacent, the collider is ''unshielded''. Otherwise, the collider is shielded and part of a triangle. The result of having a collider in the path is that the collider blocks the association between the variables that influence it. Thus, the collider does not generate an unconditional association between the variables that determine it. Conditioning on the collider via regression analysis, stratification, experimental design, or sample selection based on values of the collider create a non-causal association between X and Y (Berkson's pa ...
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Factor Analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor. A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, persona ...
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Academic Performance
Academic achievement or academic performance is the extent to which a student, teacher or institution has attained their short or long-term educational goals. Completion of educational benchmarks such as secondary school diplomas and bachelor's degrees represent academic achievement. Academic achievement is commonly measured through examinations or continuous assessments but there is no general agreement on how it is best evaluated or which aspects are most important—procedural knowledge such as skills or declarative knowledge such as facts. Furthermore, there are inconclusive results over which individual factors successfully predict academic performance, elements such as test anxiety, environment, motivation, and emotions require consideration when developing models of school achievement. Now, schools are receiving money based on its students academic achievements. A school with more academic achievements would receive more money than a school with less achievements. In Califor ...
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Personality Psychology
Personality psychology is a branch of psychology that examines personality and its variation among individuals. It aims to show how people are individually different due to psychological forces. Its areas of focus include: * construction of a coherent picture of the individual and their major psychological processes * investigation of individual psychological differences * investigation of human nature and psychological similarities between individuals "Personality" is a dynamic and organized set of characteristics possessed by an individual that uniquely influences their environment, cognition, emotions, motivations, and behaviors in various situations. The word ''personality'' originates from the Latin ''persona'', which means "mask". Personality also pertains to the pattern of thoughts, feelings, social adjustments, and behaviors persistently exhibited over time that strongly influences one's expectations, self-perceptions, values, and attitudes. Personality also predicts ...
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Meta-analysis
A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error. The aim then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. Meta-analytic results are considered the most trustworthy source of evidence by the evidence-based medicine literature.Herrera Ortiz AF., Cadavid Camacho E, Cubillos Rojas J, Cadavid Camacho T, Zoe Guevara S, Tatiana Rincón Cuenca N, Vásquez Perdomo A, Del Castillo Herazo V, & Giraldo Malo R. A Practical Guide to Perform a Systematic Literature Review and Meta-analysis. Principles and Practice of Clinical Research. 2022;7(4):47–57. https://doi.org/10.21801/ppcrj.2021.74.6 Not only can meta-analyses provide an estimate of the un ...
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