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In his book Personality and Assessment , Walter Mischel asserted that personality instruments could not predict behavior with a correlation of more than 0. Social psychologists like Mischel argued that attitudes and behavior were not stable, but varied with the situation. Predicting behavior from personality instruments was claimed to be impossible. However, it has subsequently been demonstrated empirically that the magnitude of the predictive correlations with real-life criteria can increase significantly under stressful emotional conditions as opposed to the typical administration of personality measures under neutral emotional conditions , thereby accounting for a significantly greater proportion of the predictive variance.

In addition, emerging methodologies challenged this point of view during the s. Instead of trying to predict single instances of behavior, which was unreliable, researchers found that they could predict patterns of behavior by aggregating large numbers of observations. Digman, reviewed the available personality instruments of the day. However, the methodology employed in constructing the NEO instrument has been subjected to critical scrutiny see section below.

There are debates between researchers of temperament and researchers of personality as to whether or not biologically-based differences define a concept of temperament or a part of personality. The presence of such differences in pre-cultural individuals such as animals or young infants suggests that they belong to temperament since personality is a socio-cultural concept. For this reason developmental psychologists generally interpret individual differences in children as an expression of temperament rather than personality.

Researchers of adult temperament point out that, similarly to sex, age and mental illness, temperament is based on biochemical systems whereas personality is a product of socialization of an individual possessing these four types of features. Temperament interacts with social-cultural factors, but still cannot be controlled or easily changed by these factors.

For example, neuroticism reflects the traditional temperament dimension of emotionality, extraversion the temperament dimension of "energy" or "activity", and openness to experience the temperament dimension of sensation-seeking. Genetically informative research, including twin studies , suggest that heritability and environmental factors both influence all five factors to the same degree.

The self-report measures were as follows: The Big Five personality traits have been assessed in some non-human species but methodology is debatable. Neuroticism and openness factors were found in an original zoo sample, but were not replicated in a new zoo sample or in other settings perhaps reflecting the design of the CPQ. Research on the Big Five, and personality in general, has focused primarily on individual differences in adulthood, rather than in childhood and adolescence, and often include temperament traits.

Recent studies have begun to explore the developmental origins and trajectories of the Big Five among children and adolescents, especially those that relate to temperament. The structure, manifestations, and development of the Big Five in childhood and adolescence has been studied using a variety of methods, including parent- and teacher-ratings, [83] [84] [85] preadolescent and adolescent self- and peer-ratings, [86] [87] [88] and observations of parent-child interactions.

Although some researchers have found that Openness in children and adolescents relates to attributes such as creativity, curiosity, imagination, and intellect, [91] many researchers have failed to find distinct individual differences in Openness in childhood and early adolescence. Previous research has found evidence that most adults become more agreeable, conscientious, and less neurotic as they age. Rank-order consistency indicates the relative placement of individuals within a group.

Findings from these studies indicate that, consistent with adult personality trends, youth personality becomes increasingly more stable in terms of rank-order throughout childhood.

In Big Five studies, extraversion has been associated with surgency. Many studies of longitudinal data, which correlate people's test scores over time, and cross-sectional data, which compare personality levels across different age groups, show a high degree of stability in personality traits during adulthood, especially Neuroticism trait that is often regarded as a temperament trait [] similarly to longitudinal research in temperament for the same traits.

There is also little evidence that adverse life events can have any significant impact on the personality of individuals. The new research shows evidence for a maturation effect. On average, levels of agreeableness and conscientiousness typically increase with time, whereas extraversion, neuroticism, and openness tend to decrease. For example, levels of agreeableness and conscientiousness demonstrate a negative trend during childhood and early adolescence before trending upwards during late adolescence and into adulthood.

In addition, some research Fleeson, suggests that the Big Five should not be conceived of as dichotomies such as extraversion vs. Each individual has the capacity to move along each dimension as circumstances social or temporal change.

He is or she is therefore not simply on one end of each trait dichotomy but is a blend of both, exhibiting some characteristics more often than others: Research regarding personality with growing age has suggested that as individuals enter their elder years 79—86 , those with lower IQ see a raise in extraversion, but a decline in conscientiousness and physical well being. Research by Cobb-Clark and Schurer indicates that personality traits are generally stable among adult workers.

The research done on personality also mirrors previous results on locus of control. A study of gender differences in 55 nations using the Big Five Inventory found that women tended to be somewhat higher than men in neuroticism, extraversion, agreeableness, and conscientiousness.

The difference in neuroticism was the most prominent and consistent, with significant differences found in 49 of the 55 nations surveyed.

Gender differences in personality traits are largest in prosperous, healthy, and more gender-egalitarian cultures. A plausible explanation for this is that acts by women in individualistic, egalitarian countries are more likely to be attributed to their personality, rather than being attributed to ascribed gender roles within collectivist, traditional countries.

That is, men in highly developed world regions were less neurotic, extraverted, conscientious and agreeable compared to men in less developed world regions. Women, on the other hand tended not to differ in personality traits across regions. However, the authors of this study speculated that resource-poor environments that is, countries with low levels of development may inhibit the development of gender differences, whereas resource-rich environments facilitate them.

This may be because males require more resources than females in order to reach their full developmental potential. The authors also argued that due to different evolutionary pressures, men may have evolved to be more risk taking and socially dominant, whereas women evolved to be more cautious and nurturing.

Ancient hunter-gatherer societies may have been more egalitarian than later agriculturally oriented societies. Hence, the development of gender inequalities may have acted to constrain the development of gender differences in personality that originally evolved in hunter-gatherer societies.

As modern societies have become more egalitarian, again, it may be that innate sex differences are no longer constrained and hence manifest more fully than in less-developed cultures.

Currently, this hypothesis remains untested, as gender differences in modern societies have not been compared with those in hunter-gatherer societies. Frank Sulloway argues that firstborns are more conscientious, more socially dominant, less agreeable, and less open to new ideas compared to laterborns.

Large-scale studies using random samples and self-report personality tests, however, have found milder effects than Sulloway claimed, or no significant effects of birth order on personality. The Big Five have been pursued in a variety of languages and cultures, such as German, [] Chinese, [] Indian, [] [] For example, Thompson has claimed to find the Big Five structure across several cultures using an international English language scale.

Recent work has found relationships between Geert Hofstede 's cultural factors , Individualism, Power Distance, Masculinity, and Uncertainty Avoidance, with the average Big Five scores in a country. Personality differences around the world might even have contributed to the emergence of different political systems. A recent study has found that countries' average personality trait levels are correlated with their political systems: Attempts to replicate the Big Five in other countries with local dictionaries have succeeded in some countries but not in others.

Apparently, for instance, Hungarians do not appear to have a single agreeableness factor. As of [update] , there were over fifty published studies relating the FFM to personality disorders. In her review of the personality disorder literature published in , Lee Anna Clark asserted that "the five-factor model of personality is widely accepted as representing the higher-order structure of both normal and abnormal personality traits".

The five-factor model was claimed to significantly predict all ten personality disorder symptoms and outperform the Minnesota Multiphasic Personality Inventory MMPI in the prediction of borderline , avoidant , and dependent personality disorder symptoms.

Converging evidence from several nationally representative studies has established three classes of mental disorders which are especially common in the general population: These common mental disorders CMDs have been empirically linked to the Big Five personality traits, neuroticism in particular. Numerous studies have found that having high scores of neuroticism significantly increases one's risk for developing a CMD.

Five major models have been posed to explain the nature of the relationship between personality and mental illness. There is currently no single "best model", as each of them has received at least some empirical support. It is also important to note that these models are not mutually exclusive — more than one may be operating for a particular individual and various mental disorders may be explained by different models.

Being highly conscientious may add as much as five years to one's life. Higher conscientiousness is associated with lower obesity risk. In already obese individuals, higher conscientiousness is associated with a higher likelihood of becoming non-obese over a 5 year period.

Personality plays an important role that affects academic achievement. A study conducted with undergraduates who completed the Five Factor Inventory Processes and offered their GPA suggested that conscientiousness and agreeableness have a positive relationship with all types of learning styles synthesis analysis, methodical study, fact retention, and elaborative processing , whereas neuroticism has an inverse relationship with them all.

Moreover, extraversion and openness were proportional to elaborative processing. Furthermore, reflective learning styles synthesis-analysis and elaborative processing were able to mediate the relationship between openness and GPA. These results indicate that intellectual curiousness has significant enhancement in academic performance if students can combine their scholarly interest with thoughtful information processing.

A recent study of Israeli high-school students found that those in the gifted program systematically scored higher on openness and lower on neuroticism than those not in the gifted program. While not a measure of the Big Five, gifted students also reported less state anxiety than students not in the gifted program. Studies conducted on college students have concluded that hope, which is linked to agreeableness, has a positive effect on psychological well being.

Individuals high in neurotic tendencies are less likely to display hopeful tendencies and are negatively associated with well-being.

Recent studies have suggested the likelihood of an individual's personality affecting their educational identity. Learning styles have been described as "enduring ways of thinking and processing information". In , the Association for Psychological Science APS commissioned a report whose conclusion indicates that no significant evidence exists to make the conclusion that learning-style assessments should be included in the education system.

However, the APS also suggested in their report that all existing learning styles have not been exhausted and that there could exist learning styles that have the potential to be worthy of being included in educational practices. There are studies that conclude that personality and thinking styles may be intertwined in ways that link thinking styles to the Big Five personality traits.

As one example, Smeck, Ribicj, and Ramanaih defined four types of learning styles:. When all four facets are implicated within the classroom, they will each likely improve academic achievement. Deep processors are more often than not found to be more conscientious, intellectually open, and extraverted when compared to shallow processors. Deep processing is associated with appropriate study methods methodical study and a stronger ability to analyze information synthesis analysis , whereas shallow processors prefer structured fact retention learning styles and are better suited for elaborative processing.

Openness has been linked to learning styles that often lead to academic success and higher grades like synthesis analysis and methodical study. Because conscientiousness and openness have been shown to predict all four learning styles, it suggests that individuals who possess characteristics like discipline, determination, and curiosity are more likely to engage in all of the above learning styles. Furthermore, extraversion and openness were only positively related to elaborative processing, and openness itself correlated with higher academic achievement.

Besides openness, all Big Five personality traits helped predict the educational identity of students. Based on these findings, scientists are beginning to see that there might be a large influence of the Big Five traits on academic motivation that then leads to predicting a student's academic performance.

Some authors suggested that Big Five personality traits combined with learning styles can help predict some variations in the academic performance and the academic motivation of an individual which can then influence their academic achievements. For instance, conscientiousness has consistently emerged as a stable predictor of success in exam performance, largely because conscientious students experience fewer study delays. Within organizational communication, personality is taken into account of how a person carries themselves in the workplace.

The five factor personality theory encompasses five different personalities which are as follows: Openness is being original and having imagination. Conscientiousness is being goal oriented with a willingness to achieve.

Extraversion is being sociable and being an emotionally positive person. Agreeableness is being able to adapt and as a leader make necessary accommodations. The last personality trait was neuroticism which is usually when a leader tends to be negative emotionally and having a need for stability. It is believed that the Big Five traits are predictors of future performance outcomes.

Job outcome measures include job and training proficiency and personnel data. In a article [] co-authored by six current or former editors of psychological journals, Dr. Such criticisms were put forward by Walter Mischel , [] whose publication caused a two-decades' long crisis in personality psychometrics. However, later work demonstrated 1 that the correlations obtained by psychometric personality researchers were actually very respectable by comparative standards, [] and 2 that the economic value of even incremental increases in prediction accuracy was exceptionally large, given the vast difference in performance by those who occupy complex job positions.

There have been studies that link national innovation to openness to experience and conscientiousness. Those who express these traits have showed leadership and beneficial ideas towards the country of origin.

Some businesses, organizations, and interviewers assess individuals based on the Big Five personality traits. Research has suggested that individuals who are considered leaders typically exhibit lower amounts of neurotic traits, maintain higher levels of openness envisioning success , balanced levels of conscientiousness well-organized , and balanced levels of extraversion outgoing, but not excessive.

Some research suggests that vocational outcomes are correlated to Big Five personality traits. Conscientiousness predicts job performance in general. In addition, research has demonstrated that Agreeableness is negatively related to salary. Those high in Agreeableness make less, on average, than those low in the same trait.

Neuroticism is also negatively related to salary while Conscientiousness and Extraversion are positive predictors of salary. Significant predictors of career-advancement goals are: Research designed to investigate the individual effects of Big Five personality traits on work performance via worker completed surveys and supervisor ratings of work performance has implicated individual traits in several different work roles performances.

A "work role" is defined as the responsibilities an individual has while they are working. Nine work roles have been identified, which can be classified in three broader categories: These three categories of behavior can then be directed towards three different levels: Two theories have been integrated in an attempt to account for these differences in work role performance. Trait activation theory posits that within a person trait levels predict future behavior, that trait levels differ between people, and that work-related cues activate traits which leads to work relevant behaviors.

Role theory suggests that role senders provide cues to elicit desired behaviors. In this context, role senders i. In essence, expectations of the role sender lead to different behavioral outcomes depending on the trait levels of individual workers and because people differ in trait levels, responses to these cues will not be universal. The Big Five model of personality was used for attempts to predict satisfaction in romantic relationships, relationship quality in dating, engaged, and married couples.

The predictive effects of the Big Five personality traits relate mostly to social functioning and rules-driven behavior and are not very specific for prediction of particular aspects of behavior. For example, it was noted that high neuroticism precedes the development of all common mental disorders. Social and contextual parameters also play a role in outcomes and the interaction between the two is not yet fully understood.

The most frequently used measures of the Big Five comprise either items that are self-descriptive sentences [] or, in the case of lexical measures, items that are single adjectives. Usually, longer, more detailed questions will give a more accurate portrayal of personality. Much of the evidence on the measures of the Big 5 relies on self-report questionnaires, which makes self-report bias and falsification of responses difficult to deal with and account for.

Research suggests that a relative-scored Big Five measure in which respondents had to make repeated choices between equally desirable personality descriptors may be a potential alternative to traditional Big Five measures in accurately assessing personality traits, especially when lying or biased responding is present.

Thus, the relative-scored measure proved to be less affected by biased responding than the Likert measure of the Big Five. Schwartz analyzed million words, phrases, and topic instances collected from the Facebook messages of 75, volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age.

The proposed Big Five model has been subjected to considerable critical scrutiny [] [] [] [] [] [] [65] [] [74] and defense for the model. Moreover, the fact that the Big Five model was based on lexical hypothesis , i.

First, there is a natural pro-social bias of language in people's verbal evaluations. After all, language is an invention of group dynamics that was developed to facilitate socialization, the exchange of information and to synchronize group activity. This social function of language therefore creates a sociability bias in verbal descriptors of human behaviour: The sheer number of such descriptors will cause them to group into a largest factor in any language, and such grouping has nothing to do with the way that core systems of individual differences are set up.

Second, there is also a negativity bias in emotionality i. Such asymmetry in emotional valence creates another bias in language. Experiments using the lexical hypothesis approach indeed demonstrated that the use of lexical material skews the resulting dimensionality according to a sociability bias of language and a negativity bias of emotionality, grouping all evaluations around these two dimensions.

One common criticism is that the Big Five does not explain all of human personality. McAdams has called the Big Five a "psychology of the stranger", because they refer to traits that are relatively easy to observe in a stranger; other aspects of personality that are more privately held or more context-dependent are excluded from the Big Five.

In many studies, the five factors are not fully orthogonal to one another; that is, the five factors are not independent. This is particularly important when the goal of a study is to provide a comprehensive description of personality with as few variables as possible.

Factor analysis , the statistical method used to identify the dimensional structure of observed variables, lacks a universally recognized basis for choosing among solutions with different numbers of factors. A larger number of factors may underlie these five factors. This has led to disputes about the "true" number of factors. Big Five proponents have responded that although other solutions may be viable in a single dataset, only the five factor structure consistently replicates across different studies.

Moreover, the factor analysis that this model is based on is a linear method incapable of capturing nonlinear, feedback and contingent relationships between core systems of individual differences. A frequent criticism is that the Big Five is not based on any underlying theory ; it is merely an empirical finding that certain descriptors cluster together under factor analysis.

Jack Block 's final published work before his death in January drew together his lifetime perspective on the five-factor model. He went on to suggest that repeatedly observed higher order factors hierarchically above the proclaimed Big Five personality traits may promise deeper biological understanding of the origins and implications of these superfactors.

It has been noted that even though early lexical studies in the English language indicated five large groups of personality traits, more recent, and more comprehensive, cross-language studies have provided evidence for six large groups rather than five. From Wikipedia, the free encyclopedia. Big Five personality traits and culture. SA Journal of Industrial Psychology. Retrieved 27 June Personality Traits PDF 2nd ed.

Archived from the original PDF on You know your IQ - now test your psychological intelligence. Classic Theories and Modern Research Sixth ed. Emergence of the five-factor model". Annual Review of Psychology. Personality research, methods, and theory.

Journal of Personality Disorders. Journal of Abnormal and Social Psychology. Some explorations in the language of personality". Advances in personality assessment. Journal of Personality and Social Psychology. Lexical perspectives on the five-factor model". The five-factor model of personality: A guide to the clinical use of the 16PF Report.

Handbook of personality theory and testing. Personality measurement and assessment. The Society for Judgment and Decision Making. Seeded 11th, she lost in the 2nd round to Marina Erakovic 7 , Ranked World Number at the Wimbledon Championships , she was defeated in the 1st round by qualifier Tamarine Tanasugarn , She was defeated in the 1st round by 6th seed Elena Baltacha , 5. She then played at the Bronx Open , where she reached the 2nd round and lost to Italian Romina Oprandi after retiring early in the second set.

Due to having the ranking of , Shvedova had to play qualifying in order to make it into the main draw at the US Open. She lost in the 1st round of qualifying to Ekaterina Bychkova 5 , 3. In the 1st round, she beat Tamarine Tanasugarn , Shvedova was defeated in the 2nd round by 7th seed Chanelle Scheepers , , 5.

She reached the quarterfinals where she lost to 8th seed Chang Kai-chen , Shvedova ended the year ranked No. She also won four WTA Doubles titles. Her decline in form in singles was later explained by a knee injury that required surgery. Shvedova started the year playing qualifying at the Australian Open.

She lost in the first round of qualifying to Bibiane Schoofs in a marathon three-set match , , Receiving a wildcard to play at the Monterrey Open , she beat countrywoman Sesil Karatantcheva in the 1st round , , Shvedova started her clay court season by playing qualifying at the Family Circle Cup. In the main draw, she reached the 3rd round after defeating Alexandra Panova and 12th seed Yanina Wickmayer. In the 3rd round, she lost to 6th seed Sabine Lisicki , At the Estoril Open , Shvedova was defeated in the 1st round of qualifying by Bianca Botto 5 , Due to having a low ranking, Shvedova played qualifying at the French Open.

In the fourth round, she upset 7th seed and defending champion Li Na , , to advance to her second French Open quarterfinal. There, she defeated Chanelle Scheepers and Kiki Bertens to reach the 3rd round where she faced 10th seed Sara Errani and won the fourth " Golden Set " in the history of tennis. She won all 24 points in the fifteen-minute-long first set, blasting 14 winners and making 0 unforced errors before losing the first point of the second set to break the sequence.

She went on to win the match in straight sets , reaching the second week of Wimbledon for the first time. Representing Kazakhstan at the London Olympics , she reached the second round of the women's singles where she lost to 15th seed Sabine Lisicki , , Shvedova won the 1st set and was leading in the 2nd set when Cibulkova retired due to a left hip injury.

In the 2nd round, she was defeated by Peng Shuai , , She beat Russian Anastasia Pavlyuchenkova , [41] but in the 2nd round, Shvedova was defeated by 7th seed Maria Kirilenko , She began her year at the ASB Classic.

Seeded 6th, she defeated Lara Arruabarrena in the 1st round, but lost in the 2nd round to Elena Vesnina , Seeded 2nd at the 1st edition of the Brasil Tennis Cup , Shvedova was defeated in the 1st round by Melinda Czink , , Shvedova started her clay court season at the Family Circle Cup.

As the 14th seed, she lost in the 1st round to American qualifier Vania King , , In the quarterfinals, she lost to 3rd seed Angelique Kerber , 2. In the 1st round, she defeated Coco Vandeweghe , , She lost in the 3rd round to world No. She then lost in the quarterfinals to 4th seed Yvonne Meusburger , At the Kremlin Cup , she was defeated in the 1st round by Elena Vesnina , In the 1st round, she upset 4th seed Ayumi Morita in the 1st round , 3 , Shvedova began the year at the Brisbane International.

As the top seed for qualifying, she lost in the 2nd round of qualifying to Anastasia Rodionova , 3 , Seeded 12th in qualifying at the Apia International Sydney , Shvedova was defeated in the final round of qualifying by 5th seed Christina McHale , At the Australian Open , she lost in the 1st round to 13th seed Sloane Stephens 1 , In the main draw, she reached the 3rd round defeating Chanelle Scheepers and 24th seed Kaia Kanepi. In the 3rd round, she lost to 10th seed and former world No.

Shvedova began her clay court season at the Family Circle Cup. She defeated qualifier Saisai Zheng in the 1st round but lost in the 2nd round to 7th seed Samantha Stosur , , She lost to 2nd seed and eventual champion Eugenie Bouchard in the quarterfinals 3 , 6. Shvedova played at the Topshelf Open , her only grass court tune up tournament before Wimbledon. Shvedova won the 1st set 7 ; the 2nd set was tied when Keys retired due to a right thigh injury. Seeded 4th at the Swedish Open , Shvedova was upset in the 1st round by qualifier Laura Siegemund , She was defeated in the 1st round by Roberta Vinci , , Shvedova began her year by playing qualifying at the Brisbane International.

In the 1st round, she beat world No. In the final, Shvedova lost to Teliana Pereira 2 , Ranked 69 at the French Open , Shvedova lost in the 1st round to 7th seed Ana Ivanovic , , Shvedova only played one grass court warm up tournament before Wimbledon. At the Topshelf Open , she stunned top seed Eugenie Bouchard in the 1st round , , Shvedova was the top seed for qualifying at the BRD Bucharest Open ; she lost in the final round of qualifying to Cristina Dinu , She lost in the 2nd round of qualifying to Monica Puig , McHale won the 1st set ; Shvedova led in the 2nd set when she abandoned the match.

Seeded 2nd, she made it to the quarterfinals beating Marina Melnikova and Amandine Hesse. In the quarterfinals, Shvedova faced 5th seed Kirsten Flipkens. Shvedova won the first set ; Flipkens was leading in the 2nd set when Shvedova pulled out of the tournament. Shvedova started the year by playing qualifying at the Shenzhen Open.

Ranked 70 at the Australian Open , Shvedova won her 1st round match over Tsvetana Pironkova , In the 1st round, she stunned 7th seed Roberta Vinci , , In the 3rd round, she lost to American qualifier Nicole Gibbs , Shvedova started her clay court season at the Volvo Car Open.

She lost in the 2nd round to 5th seed Sara Errani , Shvedova played her final tournament before the French Open at Strasbourg. She lost in the 1st round to Lucky Loser Virginie Razzano , Shvedova began her grass court season at the Ricoh Open.

She was defeated in the 1st round by 3rd seed and eventual finalist Kristina Mladenovic , In the quarterfinals, Shvedova lost to 8th seed, five time Wimbledon Champion, and former world No. Seeded 7th at the Swedish Open , Shvedova was up against world No. Shvedova won the 1st set , and Barthel won the 2nd set In the 3rd set, Barthel was up when Shvedova retired due to a mid-back injury.

The match was not continued because Shvedova and Voskoboeva pulled out of the doubles event at the Olympics. In the 4th round, she was defeated by World Number 1 Serena Williams , She was defeated in the 3rd round by 4th seed Simona Halep , Seeded 8th, she lost in the 1st round to Naomi Osaka , Shvedova was supposed to start her season at the Shenzhen Open , but she withdrew.

Seeded 1st for qualifying at the Apia International Sydney , Shvedova lost in the 1st round of qualifying to Naomi Broady , Ranked 39 at the Australian Open , Shvedova was defeated in the 1st round by 27th seed Irina-Camelia Begu , , Petersburg , she lost in the 1st round to Russian wildcard Natalia Vikhlyantseva , She lost in the 2nd round to Tatjana Maria , In the quarterfinals, Shvedova retired after losing the 1st set to Misaki Doi due to an injury.

Shvedova missed the Wimbledon Championships due to undergoing ankle surgery. Shvedova is noted for her powerful serve, groundstrokes, and proficient net play. Her favorite serve is the flat serve down the T, her weakness is her consistency on the forehand side. Shvedova was born to Russian father Vyacheslav and Bashkir mother Nurzia, who used to be a professional runner winner of the International Association of Ultra Runners km World Championships , Shvedova has one brother.

She began playing tennis at age 8 when her father introduced her to the sport in Chernogolovka Moscow region.

Shvedova changed her nationality from Russian to Kazakhstani in as part of the country's attempts to boost its sporting profile. From Wikipedia, the free encyclopedia. This name uses Eastern Slavic naming customs ; the patronymic is Vyacheslavovna and the family name is Shvedova. Shvedova at the US Open. Retrieved 12 August Retrieved 19 February Archived from the original on 9 July Retrieved 9 May Retrieved 13 August Retrieved 14 August Retrieved 16 August Samantha Stosur wins title over Serena Williams, who finds herself in officiating controversy".

Li Na loses to world No Yaroslava Shvedova". Petra Kvitova defeats Shvedova to reach semis". Sabine Lisicki overcomes Yaroslava Shvedova challenge". Maria Kirilenko edges out Yaroslava Shvedova to reach quarters". Auckland Jan 2, — Tennis Now". Retrieved 11 August Shvedova advances to 3rd round of Mutua Madrid Open". The New York Times.

Kazakhstan's Shvedova advances to second round of Wimbledon".

Catatonic Disorder Due to Another Medical Condition. Clinicians use this classification when there is evidence from the history, physical examination, or laboratory findings that the disturbance is the direct pathophysiological consequence of another medical condition. is wettelijk verplicht om je toestemming te vragen voor het gebruik van cookies, en om je te informeren over het gebruik daarvan op de site. Wij begrijpen dat dit klant onvriendelijk kan overkomen, onze excuses daarvoor. Yaroslava Vyacheslavovna Shvedova (Russian: Яросла́ва Вячесла́вовна Шве́дова, born 12 September ) is a Russian-born Kazakhstani tennis player.. Shvedova has won one singles title and thirteen doubles titles on the WTA Tour, as well as five singles and four doubles titles on the ITF Women's 29 October , she reached her best singles ranking of.