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Emotional intelligence From Wikipedia, the free encyclopedia 4 december 2017.






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Emotional intelligence

From Wikipedia, the free encyclopedia
4 december 2017.


Emotional Intelligence (EI) describes the ability, capacity, skill or, in the case of the trait EI model, a self-perceived ability, to identify, assess, and manage the emotions of one's self, of others, and of groups.[1] Different models have been proposed for the definition of EI and disagreement exists as to how the term should be used.[2] Despite these disagreements, which are often highly technical, the ability EI and trait EI models (but not the mixed models) enjoy support in the literature and have successful applications in different domains.

Contents
[hide]
  • 1 Origins of the concept
  • 2 Defining emotional intelligence
    • 2.1 The ability-based model
      • 2.1.1 Measurement of the ability-based model
    • 2.2 Mixed models of EI
      • 2.2.1 The Emotional Competencies (Goleman) model
      • 2.2.2 Measurement of the Emotional Competencies (Goleman) model
      • 2.2.3 The Bar-On model of Emotional-Social Intelligence (ESI)
      • 2.2.4 Measurement of the ESI Model
    • 2.3 The Trait EI model
      • 2.3.1 Measurement of the Trait EI model
  • 3 Alexithymia and EI
  • 4 Criticism of the theoretical foundation of EI
    • 4.1 EI is too broadly defined and the definitions are unstable
    • 4.2 EI cannot be recognized as a form of intelligence
    • 4.3 EI has no substantial predictive value
  • 5 Criticism on measurement issues
    • 5.1 Ability based measures are measuring conformity, not ability
    • 5.2 Ability based measures are measuring knowledge (not actual ability)
    • 5.3 Self report measures are susceptible to faking good
    • 5.4 Claims for the predictive power of EI are too extreme
    • 5.5 EI, IQ and job performance
  • 6 See also
  • 7 Notes and references
  • 8 External links

[edit] Origins of the concept

The earliest roots of emotional intelligence can be traced to Darwin’s work on the importance of emotional expression for survival and second adaptation.[3] In the 1900s, even though traditional definitions of intelligence emphasized cognitive aspects such as memory and problem-solving, several influential researchers in the intelligence field of study had begun to recognize the importance of the non-cognitive aspects. For instance, as early as 1920, E. L. Thorndike used the term social intelligence to describe the skill of understanding and managing other people.[4]
Similarly, in 1940 David Wechsler described the influence of non-intellective factors on intelligent behavior, and further argued that our models of intelligence would not be complete until we can adequately describe these factors.[3] In 1983, Howard Gardner's Frames of Mind: The Theory of Multiple Intelligences [5] introduced the idea of Multiple Intelligences which included both Interpersonal intelligence (the capacity to understand the intentions, motivations and desires of other people) and Intrapersonal intelligence (the capacity to understand oneself, to appreciate one's feelings, fears and motivations). In Gardner's view, traditional types of intelligence, such as IQ, fail to fully explain cognitive ability.[6] Thus, even though the names given to the concept varied, there was a common belief that traditional definitions of intelligence are lacking in ability to fully explain performance outcomes.
The first use of the term "Emotional Intelligence" is usually attributed to Wayne Payne's doctoral thesis, A Study of Emotion: Developing Emotional Intelligence from 1985.[7] However, prior to this, the term "emotional intelligence" had appeared in Leuner (1966). Greenspan (1989) also put forward an EI model, followed by Salovey and Mayer (1990), and Goleman (1995). The distiction between trait emotional intelligence and ability emotional intelligence was introduced in 2000.[8]
As a result of the growing acknowledgement by professionals of the importance and relevance of emotions to work outcomes,[9] the research on the topic continued to gain momentum, but it wasn’t until the publication of Daniel Goleman's best seller Emotional Intelligence: Why It Can Matter More Than IQ that the term became widely popularized.[10] Nancy Gibbs' 1995 Time magazine article highlighted Goleman's book and was the first in a string of mainstream media interest in EI.

[edit] Defining emotional intelligence

Substantial disagreement exists regarding the definition of EI, with respect to both terminology and operationalizations. There has been much confusion regarding the exact meaning of this construct. The definitions are so varied, and the field is growing so rapidly, that researchers are constantly amending even their own definitions of the construct. At the present time, there are three main models of EI:
  • Ability EI models
  • Mixed models of EI
  • Trait EI model

[edit] The ability-based model

Salovey and Mayer's conception of EI strives to define EI within the confines of the standard criteria for a new intelligence. Following their continuing research, their initial definition of EI was revised to: "The ability to perceive emotion, integrate emotion to facilitate thought, understand emotions and to regulate emotions to promote personal growth."
The ability based model views emotions as useful sources of information that help one to make sense of and navigate the social environment.[11] The model proposes that individuals vary in their ability to process information of an emotional nature and in their ability to relate emotional processing to a wider cognition. This ability is seen to manifest itself in certain adaptive behaviors. The model claims that EI includes 4 types of abilities:
  1. Perceiving emotions — the ability to detect and decipher emotions in faces, pictures, voices, and cultural artifacts- including the ability to identify one’s own emotions. Perceiving emotions represents a basic aspect of emotional intelligence, as it makes all other processing of emotional information possible.
  2. Using emotions — the ability to harness emotions to facilitate various cognitive activities, such as thinking and problem solving. The emotionally intelligent person can capitalize fully upon his or her changing moods in order to best fit the task at hand.
  3. Understanding emotions — the ability to comprehend emotion language and to appreciate complicated relationships among emotions. For example, understanding emotions encompasses the ability to be sensitive to slight variations between emotions, and the ability to recognize and describe how emotions evolve over time.
  4. Managing emotions — the ability to regulate emotions in both ourselves and in others. Therefore, the emotionally intelligent person can harness emotions, even negative ones, and manage them to achieve intended goals.
The ability-based model has been criticized in the research for lacking face and predictive validity in the workplace. [12]

[edit] Measurement of the ability-based model

Different models of EI have led to the development of various instruments for the assessment of the construct. While some of these measures may overlap, most researchers agree that they tap slightly different constructs. The current measure of Mayer and Salovey’s model of EI, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) is based on a series of emotion-based problem-solving items.[11] Consistent with the model's claim of EI as a type of intelligence, the test is modeled on ability-based IQ tests. By testing a person’s abilities on each of the four branches of emotional intelligence, it generates scores for each of the branches as well as a total score.
Central to the four-branch model is the idea that EI requires attunement to social norms. Therefore, the MSCEIT is scored in a consensus fashion, with higher scores indicating higher overlap between an individual’s answers and those provided by a worldwide sample of respondents. The MSCEIT can also be expert-scored, so that the amount of overlap is calculated between an individual’s answers and those provided by a group of 21 emotion researchers.[11]
Although promoted as an ability test, the MSCEIT is most unlike standard IQ tests in that its items do not have objectively correct responses. Among other problems, the consensus scoring criterion means that it is impossible to create items (questions) that only a minority of respondents can solve, because, by definition, responses are deemed emotionally 'intelligent' only if the majority of the sample has endorsed them. This and other similar problems have led cognitive ability experts to question the definition of EI as a genuine intelligence.
In a study by Føllesdal [13] the MSCEIT test results of 111 business leaders were compared with how their employees described their leader. It was found that there were no correlations between a leader's test results and how he or she was rated by the employees, with regard to empathy, ability to motivate, and leader effectiveness. Føllesdal also criticized the Canadian company Multi-Health Systems, which administers the MSCEIT test. The test contains 141 questions but it was found after publishing the test that 19 of these did not give the expected answers. This has led Multi-Health Systems to remove answers to these 19 questions before scoring, but without stating this officially.

[edit] Mixed models of EI

[edit] The Emotional Competencies (Goleman) model

The model introduced by Daniel Goleman [14] focuses on EI as a wide array of competencies and skills that drive leadership performance. Goleman's model outlines four main EI constructs:[1]
  1. Self-awareness — the ability to read one's emotions and recognize their impact while using gut feelings to guide decisions.
  2. Self-management — involves controlling one's emotions and impulses and adapting to changing circumstances.
  3. Social awareness — the ability to sense, understand, and react to others' emotions while comprehending social networks.
  4. Relationship management — the ability to inspire, influence, and develop others while managing conflict.
Goleman includes a set of emotional competencies within each construct of EI. Emotional competencies are not innate talents, but rather learned capabilities that must be worked on and can be developed to achieve outstanding performance[1]. Goleman posits that individuals are born with a general emotional intelligence that determines their potential for learning emotional competencies.[15] Goleman's model of EI has been criticized in the research literature as mere "pop psychology" (Mayer, Roberts, & Barsade, 2008).

[edit] Measurement of the Emotional Competencies (Goleman) model

Two measurement tools are based on the Goleman model:
1) The Emotional Competency Inventory (ECI), which was created in 1999 and the Emotional and Social Competency Inventory (ESCI), which was created in 2007.
2) The Emotional Intelligence Appraisal, which was created in 2001 and which can be taken as a self-report or 360-degree assessment[16].

[edit] The Bar-On model of Emotional-Social Intelligence (ESI)

Bar-On[3] defines emotional intelligence as being concerned with effectively understanding oneself and others, relating well to people, and adapting to and coping with the immediate surroundings to be more successful in dealing with environmental demands.[17] Bar-On posits that EI develops over time and that it can be improved through training, programming, and therapy.[3] Bar-On hypothesizes that those individuals with higher than average E.Q.’s are in general more successful in meeting environmental demands and pressures. He also notes that a deficiency in EI can mean a lack of success and the existence of emotional problems. Problems in coping with one’s environment are thought, by Bar-On, to be especially common among those individuals lacking in the subscales of reality testing, problem solving, stress tolerance, and impulse control. In general, Bar-On considers emotional intelligence and cognitive intelligence to contribute equally to a person’s general intelligence, which then offers an indication of one’s potential to succeed in life.[3] However, doubts have been expressed about this model in the research literature (in particular about the validity of self-report as an index of emotional intelligence) and in scientific settings, it is being replaced by the trait EI model discussed below [18]

[edit] Measurement of the ESI Model

The Bar-On Emotion Quotient Inventory (EQ-i), is a self-report measure of EI developed as a measure of emotionally and socially competent behavior that provides an estimate of one's emotional and social intelligence. The EQ-i is not meant to measure personality traits or cognitive capacity, but rather the mental ability to be successful in dealing with environmental demands and pressures.[3] One hundred and thirty three items (questions or factors) are used to obtain a Total EQ (Total Emotional Quotient) and to produce five composite scale scores, corresponding to the five main components of the Bar-On model. A limitation of this model is that it claims to measure some kind of ability through self-report items (for a discussion, see Matthews, Zeidner, & Roberts, 2007). The EQ-i has been found to be highly susceptible to faking (Day & Carroll, 2008; Grubb & McDaniel, 2007)

[edit] The Trait EI model

Petrides and colleagues [19] (see also Petrides, 2009) proposed a conceptual distinction between the ability based model and a trait based model of EI.[8] Trait EI is "a constellation of emotion-related self-perceptions located at the lower levels of personality". In lay terms, trait EI refers to an individual's self-perceptions of their emotional abilities. This definition of EI encompasses behavioral dispositions and self perceived abilities and is measured by self report, as opposed to the ability based model which refers to actual abilities, which have proven highly resistant to scientific measurement. Trait EI should be investigated within a personality framework.[20] An alternative label for the same construct is trait emotional self-efficacy.
The trait EI model is general and subsumes the Goleman and Bar-On models discussed above. The conceptualization of EI as a personality trait leads to a construct that lies outside the taxonomy of human cognitive ability. This is an important distinction in as much as it bears directly on the operationalization of the construct and the theories and hypotheses that are formulated about it.[8]

[edit] Measurement of the Trait EI model

There are many self-report measures of EI, including the EQi, the Swinburne University Emotional Intelligence Test (SUEIT),the Schutte Self-Report Emotional Intelligence Test (SSEIT), a measure by Tett, Fox, and Wang (2005). From the perspective of the trait EI model, none of these assess intelligence, abilities, or skills (as their authors often claim), but rather, they are limited measures of trait emotional intelligence (Petrides, Furnham, & Mavroveli, 2007). The Trait Emotional Intelligence Questionnaire (TEIQue) is an open-access measure that was specifically designed to measure the construct comprehensively and is currently available in 15 languages.
The TEIQue provides an operationalization for Petrides and colleagues' model that conceptualizes EI in terms of personality.[21] The test encompasses 15 subscales organized under four factors: Well-Being, Self-Control, Emotionality, and Sociability. The psychometric properties of the TEIQue were investigated in a study on a French-Speaking Population, where it was reported that TEIQue scores were globally normally distributed and reliable.[22]
The researchers also found TEIQue scores were unrelated to nonverbal reasoning (Raven’s matrices), which they interpreted as support for the personality trait view of EI (as opposed to a form of intelligence). As expected, TEIQue scores were positively related to some of the Big Five personality traits (extraversion, agreeableness, openness, conscientiousness) as well as inversely related to others (alexithymia, neuroticism). A number of quantitative genetic studies have been carried out within the trait EI model, which have revealed significant genetic effects and heritabilities for all trait EI scores.[23].

[edit] Alexithymia and EI

Alexithymia from the Greek words λέξις and θυμός (literally "lack of words for emotions") is a term coined by Peter Sifneos in 1973[24][25] to describe people who appeared to have deficiencies in understanding, processing, or describing their emotions. Viewed as a spectrum between high and low EI, the alexithymia construct is strongly inversely related to EI, representing its lower range.[26] The individual's level of alexithymia can be measured with self-scored questionnaires such as the Toronto Alexithymia Scale (TAS-20) or the Bermond-Vorst Alexithymia Questionnaire (BVAQ)[27] or by observer rated measures such as the Observer Alexithymia Scale (OAS).

[edit] Criticism of the theoretical foundation of EI

[edit] EI is too broadly defined and the definitions are unstable

One of the arguments against the theoretical soundness of the concept suggests that the constant changing and broadening of its definition- which has come to encompass many unrelated elements — had rendered it an unintelligible concept.
Arguing that EI is an invalid concept, Locke (2005) asked: "What is the common or integrating element in a concept that includes: introspection about emotions, Emotional expression, non-verbal communication with others, empathy, self-regulation, planning, creative thinking and the direction of attention?" He answered by saying: "There is none." [28] Commenting on the multiple factors that have been included in the definition, Locke asked rhetorically: "What does EI not include?" [28]
Other critics[29] mention that without some stabilization of the concepts and the measurement instruments, meta-analyses are difficult to implement, and the theory coherence is likely to be adversely impacted by this instability.

[edit] EI cannot be recognized as a form of intelligence

Goleman's early work has been criticized for assuming from the beginning that EI is a type of intelligence. Eysenck (2000) writes that Goleman's description of EI contains assumptions about intelligence in general, and that it even runs contrary to what researchers have come to expect when studying types of intelligence:
"Goleman exemplifies more clearly than most the fundamental absurdity of the tendency to class almost any type of behaviour as an 'intelligence'... If these five 'abilities' define 'emotional intelligence', we would expect some evidence that they are highly correlated; Goleman admits that they might be quite uncorrelated, and in any case if we cannot measure them, how do we know they are related? So the whole theory is built on quicksand: there is no sound scientific basis".
Similarly, Locke (2005) [28] claims that the concept of EI is in itself a misinterpretation of the intelligence construct, and he offers an alternative interpretation: it is not another form or type of intelligence, but intelligence—the ability to grasp abstractions--applied to a particular life domain: emotions. He suggests the concept should be re-labeled and referred to as a skill.
The essence of this criticism is that scientific inquiry depends on valid and consistent construct utilization, and that in advance of the introduction of the term EI, psychologists had established theoretical distinctions between factors such as abilities and achievements, skills and habits, attitudes and values, and personality traits and emotional states. [30] The term EI is viewed by some as having merged and conflated accepted concepts and definitions.

[edit] EI has no substantial predictive value

Landy (2005)[29] has claimed that the few incremental validity studies conducted on EI have demonstrated that it adds little or nothing to the explanation or prediction of some common outcomes (most notably academic and work success). Landy proposes that the reason some studies have found a small increase in predictive validity is in fact a methodological fallacy — incomplete consideration of alternative explanations:
"EI is compared and contrasted with a measure of abstract intelligence but not with a personality measure, or with a personality measure but not with a measure of academic intelligence." Landy (2005)
In accordance with this suggestion, other researchers have raised concerns about the extent to which self-report EI measures correlate with established personality dimensions. Generally, self-report EI measures and personality measures have been said to converge because they both purport to measure traits, and because they are both measured in the self-report form.[31] Specifically, there appear to be two dimensions of the Big Five that stand out as most related to self-report EI – neuroticism and extraversion. In particular, neuroticism has been said to relate to negative emotionality and anxiety. Intuitively, individuals scoring high on neuroticism, are likely to score low on self-report EI measures.[31]
The interpretations of the correlations between EI questionnaires and personality have been varied, with the trait EI view that re-intrprets EI as a collection of personality traits being prominent in the scientific literature. [32][33][34]

[edit] Criticism on measurement issues

[edit] Ability based measures are measuring conformity, not ability

One criticism of the works of Mayer and Salovey comes from a study by Roberts et al. (2001),[35] which suggests that the EI, as measured by the MSCEIT, may only be measuring conformity. This argument is rooted in the MSCEIT's use of consensus-based assessment, and in the fact that scores on the MSCEIT are negatively distributed (meaning that its scores differentiate between people with low EI better than people with high EI).

[edit] Ability based measures are measuring knowledge (not actual ability)

Further criticism has been offered by Brody (2004),[36] who claimed that unlike tests of cognitive ability, the MSCEIT "tests knowledge of emotions but not necessarily the ability to perform tasks that are related to the knowledge that is assessed". The main argument is that even though someone knows how he should behave in an emotionally laden situation, it doesn’t necessarily follow that he could actually carry out the reported behavior.

[edit] Self report measures are susceptible to faking good

More formally termed socially desirable responding (SDR), faking good is defined as a response pattern in which test-takers systematically represent themselves with an excessive positive bias (Paulhus, 2002). This bias has long been known to contaminate responses on personality inventories (Holtgraves, 2004; McFarland & Ryan, 2000; Peebles & Moore, 1998; Nichols & Greene, 1997; Zerbe & Paulhus, 1987), acting as a mediator of the relationships between self-report measures (Nichols & Greene, 1997; Gangster et al., 1983).
It has been suggested that responding in a desirable way is a response set, which is a situational and temporary response pattern (Pauls & Crost, 2004; Paulhus, 1991). This is contrasted with a response style, which is a more long-term trait-like quality. Considering the contexts some self-report EI inventories are used in (e.g., employment settings), the problems of response sets in high-stakes scenarios become clear (Paulhus & Reid, 2001).
There are a few methods to prevent socially desirable responding on behavior inventories. Some researchers believe it is necessary to warn test-takers not to fake good before taking a personality test (e.g., McFarland, 2003). Some inventories use validity scales in order to determine the likelihood or consistency of the responses across all items.

[edit] Claims for the predictive power of EI are too extreme

Landy [29] distinguishes between the 'commercial wing' and 'the academic wing' of the EI movement, basing this distinction on the alleged predictive power of EI as seen by the two currents. According to Landy, the former makes expansive claims on the applied value of EI, while the later is trying to warn users against these claims. As an example. Goleman (1998) asserts that "the most effective leaders are alike in one crucial way: they all have a high degree of what has come to be known as emotional intelligence. ...emotional intelligence is the sine qua non of leadership". In contrast, Mayer (1999) cautions "the popular literature’s implication—that highly emotionally intelligent people possess an unqualified advantage in life—appears overly enthusiastic at present and unsubstantiated by reasonable scientific standards."
Landy further reinforces this argument by noting that the data upon which these claims are based are held in ‘proprietary databases', which means they are unavailable to independent researchers for reanalysis, replication, or verification.[29] Thus, the credibility of the findings cannot be substantiated in a scientific manner, unless those datasets are made public and available for independent analysis.

[edit] EI, IQ and job performance

Research of EI and job performance show mixed results: a positive relation has been found in some of the studies, in others there was no relation or an inconsistent one. This led researchers Cote and Miners (2006)[37] to offer a compensatory model between EI and IQ, that posits that the association between EI and job performance becomes more positive as cognitive intelligence decreases, an idea first proposed in the context of academic performance (Petrides, Frederickson, & Furnham, 2004). The results of the former study supported the compensatory model: employees with low IQ get higher task performance and organizational citizenship behavior directed at the organization, the higher their EI(Emotional Intelligence).

[edit] See also


The length of this "see also" section may adversely affect readability. Please ensure that the "see also" links are not mentioned elsewhere in the article, are not red links, are as few in number and as relevant as possible. (July 2009)

[edit] Notes and references


  1. ^ a b c Bradberry, Travis and Greaves, Jean. (2009). "Emotional Intelligence 2.0". San Francisco: Publishers Group West. (ISBN: 9780974320625)
  2. ^ Mayer, J.D., Salovey, P. & Caruso, D.R. (2008). Emotional Intelligence: New ability or eclectic traits, American Psychologist, 63, 6, 503-517.
  3. ^ a b c d e f Bar-On, R. (2006). The Bar-On model of emotional-social intelligence (ESI). Psicothema, 18 , supl., 13-25.
  4. ^ Thorndike, R.K. (1920). "Intelligence and Its Uses", Harper's Magazine 140, 227-335.
  5. ^ Gardner, H. (1983). Frames of mind. New York: Basic Books.
  6. ^ Smith, M. K. (2002) "Howard Gardner and multiple intelligences", the encyclopedia of informal education, Downloaded from http://www.infed.org/thinkers/gardner.htm on October 31, 2005.
  7. ^ Payne, W.L. (1983/1986). A study of emotion: developing emotional intelligence; self integration; relating to fear, pain and desire. Dissertation Abstracts International, 47, p. 203A. (University microfilms No. AAC 8605928)
  8. ^ a b c Petrides, K. V. & Furnham, A. (2000a). On the dimensional structure of emotional intelligence. Personality and Individual Differences, 29, 313-320
  9. ^ Feldman-Barrett, L., & Salovey, P. (eds.). (2002). The wisdom in feeling: psychological processes in emotional intelligence. New York: Guilford Press.
  10. ^ Goleman, D. (1995). Emotional intelligence. New York: Bantam Books
  11. ^ a b c Salovey P and Grewal D (2005) The Science of Emotional Intelligence. Current directions in psychological science, Volume14 -6
  12. ^ http://www.psykologi.uio.no/studier/drpsych/disputaser/follesdal_summary.html Hallvard Føllesdal - 'Emotional Intelligence as Ability: Assessing the Construct Validity of Scores from the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT)' Phd Thesis and accompanying papers, University of Oslo 2008
  13. ^ Goleman, D. (1998). Working with emotional intelligence. New York: Bantam Books
  14. ^ Boyatzis, R., Goleman, D., & Rhee, K. (2000). Clustering competence in emotional intelligence: insights from the emotional competence inventory (ECI). In R. Bar-On & J.D.A. Parker (eds.): Handbook of emotional intelligence (pp. 343-362). San Francisco: Jossey-Bass.
  15. ^ Bradberry, Travis and Greaves, Jean. (2009). Emotional Intelligence 2.0. San Francisco: Publishers Group West. ISBN 9780974320625
  16. ^ Bar-On, R. (1997). The Emotional Quotient Inventory (EQ-i): a test of emotional intelligence. Toronto: Multi-Health Systems.
  17. ^ Kluemper, D. H. (2008) Trait emotional intelligence: The impact of core-self evaluations and social desirability. Personality and Individual Differences, 44(6), 1402-1412. Lak
  18. ^ Petrides, K. V., Pita, R., Kokkinaki, F. (2007). The location of trait emotional intelligence in personality factor space. British Journal of Psychology, 98, 273-289.
  19. ^ Petrides, K. V. & Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15, 425-448
  20. ^ Petrides, K. V., & Furnham, A. (2003). Trait emotional intelligence: behavioral validation in two studies of emotion recognition and reactivity to mood induction. European Journal of Personality, 17, 39–75
  21. ^ Mikolajczak, Luminet, Leroy, and Roy (2007). Psychometric Properties of the Trait Emotional Intelligence Questionnaire: Factor Structure, Reliability, Construct, and Incremental Validity in a French-Speaking Population. Journal of Personality Assessment, 88(3), 338–353
  22. ^ Vernon, P. A., Petrides, K. V., Bratko, D., & Schermer, J. A. (2008). A behavioral genetic study of trait emotional intelligence. Emotion, 8, 635-642.
  23. ^ Bar-On, Reuven; Parker, James DA (2000). The Handbook of Emotional Intelligence: Theory, Development, Assessment, and Application at Home, School, and in the Workplace. San Francisco, California: Jossey-Bass. ISBN 0787949841. pp. 40-59
  24. ^ Taylor, Graeme J; Bagby, R. Michael and Parker, James DA (1997). Disorders of Affect Regulation: Alexithymia in Medical and Psychiatric Illness. Cambridge: Cambridge University Pres. ISBN 052145610X. pp.28-31
  25. ^ Parker JDA, Taylor GJ, Bagby RM (2001). "The Relationship Between Emotional Intelligence and Alexithymia". Personality and Individual Differences 30, 107–115
  26. ^ Vorst HCM, Bermond B (February 2001). "Validity and reliability of the Bermond-Vorst Alexithymia Questionnaire". Personality and Individual Differences, Volume 30, Number 3, pp. 413–434(22)
  27. ^ a b c Locke, E.A. (2005). Why emotional intelligence is an invalid concept. Journal of Organizational Behavior, 26, 425-431.
  28. ^ a b c d Landy, F.J. (2005). Some historical and scientific issues related to research on emotional intelligence. Journal of Organizational Behavior, 26, 411-424.
  29. ^ Mattiuzzi, P.G. Emotional Intelligence? I'm not feeling it. everydaypsychology.com
  30. ^ a b MacCann, C., Roberts, R.D., Matthews, G., & Zeidner, M. (2004). Consensus scoring and empirical option weighting of performance-based emotional intelligence tests. Personality & Individual Differences, 36, 645-662.
  31. ^ Mikolajczak, M., Luminet, O., Leroy, C., & Roy, E. (2007). Psychometric properties of the Trait Emotional Intelligence Questionnaire. Journal of Personality Assessment, 88, 338-353.
  32. ^ Smith, L., Ciarrochi, J., & Heaven, P. C. L., (2008). The stability and change of trait emotional intelligence, conflict communication patterns, and relationship satisfaction: A one-year longitudinal study. Personality and Individual Differences, 45, 738-743.
  33. ^ Austin, E.J. (2008). A reaction time study of responses to trait and ability emotional intelligence test items. Personality and Individual Differences, 36, 1855-1864.
  34. ^ Roberts, R. D., Zeidner, M., & Matthews, G. (2001). Does emotional intelligence meet traditional standards for an intelligence? Some new data and conclusions. Emotion, 1, 196–231
  35. ^ Brody, N. (2004). What cognitive intelligence is and what emotional intelligence is not. Psychological Inquiry, 15, 234-238.
  36. ^ Cote, S. and Miners, C.T.H. (2006). "Emotional intelligence, cognitive intelligence and job performance", Administrative Science Quarterly, 51(1), pp1-28.

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The butterfly effect is a concept that states that "small causes can have larger effects". This concept was initially used in theories about weather prediction but later the term became a ...
Butterfly effect (disambiguation)
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Read in another languageButterfly effect

For other uses, see Butterfly effect (disambiguation).

A plot of Lorenz's strange attractorfor values ρ=28, σ = 10, β = 8/3. The butterfly effect or sensitive dependence on initial conditions is the property of a dynamical system that, starting from any of various arbitrarily close alternativeinitial conditions on the attractor, the iterated points will become arbitrarily spread out from each other.

The butterfly effect is a concept that states that "small *** can have larger effects".

This concept was initially used in theories about weather prediction but later the term became a popular metaphor in science writing.[1]

In chaos theory, the butterfly effect is the sensitive dependence on initial conditions in which a small change in one state of a deterministic nonlinear system can result in large differences in a later state. [2]

The term itself was coined by Edward Lorenz, and is derived from the metaphorical example of the details of a tornado (exact time of formation, exact path taken) being influenced by minor perturbations such as the flapping of the wings of a distant butterfly several weeks earlier. Lorenz discovered the effect when he observed that runs of his weather model with initial condition data that was rounded in a seemingly inconsequential manner would fail to reproduce the results of runs with the unrounded initial condition data. A very small change in initial conditions had created a significantly different outcome. [3]

The idea that small causes may have large effects in general and in weather specifically was used from Henri Poincaré to Norbert Wiener. Edward Lorenz's work placed the concept of instability of the earth'satmosphere onto a quantitative base and linked the concept of instability to the properties of large classes of dynamic systems which are undergoing nonlinear dynamics and deterministic chaos.[1]

The butterfly effect can also be demonstrated by very simple systems. For example, therandomness of the outcomes of throwingdice depends on this characteristic to amplify small differences in initial conditions—the precise direction, thrust, and orientation of the throw—into significantly different dice paths and outcomes, which makes it virtually impossible to throw a dice exactly the same way twice.

HistoryEdit

In The Vocation of Man (1800), Fichte says that "you could not remove a single grain of sand from its place without thereby ... changing something throughout all parts of the immeasurable whole".

Chaos theory and the sensitive dependence on initial conditions were described in the literature in a particular case of the three-body problem by Henri Poincaré in 1890.[4] He later proposed that such phenomena could be common, for example, in meteorology.[5]

In 1898,[4] Jacques Hadamard noted general divergence of trajectories in spaces of negative curvature. Pierre Duhem discussed the possible general significance of this in 1908.[4]

The idea that one butterfly could eventually have a far-reaching ripple effect on subsequent historic events made its earliest known appearance in "A Sound of Thunder", a 1952 short story by Ray Bradbury about time travel.[6]

In 1961, Lorenz was running a numerical computer model to redo a weather prediction from the middle of the previous run as a shortcut. He entered the initial condition 0.506 from the printout instead of entering the full precision 0.506127 value. The result was a completely different weather scenario.[7]

Lorenz wrote:

"At one point I decided to repeat some of the computations in order to examine what was happening in greater detail. I stopped the computer, typed in a line of numbers that it had printed out a while earlier, and set it running again. I went down the hall for a cup of coffee and returned after about an hour, during which time the computer had simulated about two months of weather. The numbers being printed were nothing like the old ones. I immediately suspected a weak vacuum tube or some other computer trouble, which was not uncommon, but before calling for service I decided to see just where the mistake had occurred, knowing that this could speed up the servicing process. Instead of a sudden break, I found that the new values at first repeated the old ones, but soon afterward differed by one and then several units in the last decimal place, and then began to differ in the next to the last place and then in the place before that. In fact, the differences more or less steadily doubled in size every four days or so, until all resemblance with the original output disappeared somewhere in the second month. This was enough to tell me what had happened: the numbers that I had typed in were not the exact original numbers, but were the rounded-off values that had appeared in the original printout. The initial round-off errors were the culprits; they were steadily amplifying until they dominated the solution." (E. N. Lorenz, The Essence of Chaos, U. Washington Press, Seattle (1993), page 134)[8]

In 1963 Lorenz published a theoretical study of this effect in a highly cited, seminal paper called Deterministic Nonperiodic Flow[9][10] (the calculations were performed on a Royal McBee LGP-30 computer).[11][12] Elsewhere he stated:

One meteorologist remarked that if the theory were correct, one flap of a sea gull's wings would be enough to alter the course of the weather forever. The controversy has not yet been settled, but the most recent evidence seems to favor the sea gulls.[12]

Following suggestions from colleagues, in later speeches and papers Lorenz used the more poetic butterfly. According to Lorenz, when he failed to provide a title for a talk he was to present at the 139th meeting of theAmerican Association for the Advancement of Science in 1972, Philip Merilees concoctedDoes the flap of a butterfly’s wings in Brazil set off a tornado in Texas? as a title.[13] Although a butterfly flapping its wings has remained constant in the expression of this concept, the location of the butterfly, the consequences, and the location of the consequences have varied widely.[14]

The phrase refers to the idea that a butterfly's wings might create tiny changes in theatmosphere that may ultimately alter the path of a tornado or delay, accelerate or even prevent the occurrence of a tornado in another location. The butterfly does not power or directly create the tornado, but the term is intended to imply that the flap of the butterfly's wings can cause the tornado: in the sense that the flap of the wings is a part of the initial conditions; one set of conditions leads to a tornado while the other set of conditions doesn't. The flapping wing represents a small change in the initial condition of the system, which cascades to large-scale alterations of events (compare:domino effect). Had the butterfly not flapped its wings, the trajectory of the system might have been vastly different—but it's also equally possible that the set of conditions without the butterfly flapping its wings is the set that leads to a tornado.

The butterfly effect presents an obvious challenge to prediction, since initial conditions for a system such as the weather can never be known to complete accuracy. This problem motivated the development ofensemble forecasting, in which a number of forecasts are made from perturbed initial conditions.[15]

Some scientists have since argued that the weather system is not as sensitive to initial conditions as previously believed.[16] David Orrell argues that the major contributor to weather forecast error is model error, with sensitivity to initial conditions playing a relatively small role.[17][18] Stephen Wolframalso notes that the Lorenz equations areaaaaaa