Sentences with phrase «predicted by personality»

Not exact matches

Myers - Briggs, a test created by a Pennsylvania woman who was fascinated by how her merry personality differed from that of her straightforward husband, has a weak record of predicting job success.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Two years ago, Reed predicted evangelicals» demand for a bold outsider with a magnetic personality in an op - ed coauthored by evangelical communications strategist Joel C. Rosenberg and Concerned Women for America CEO Penny Nance.

This malaise in «young personalities» was predicted by Edward Holloway in a talk given in 1973, republished in last January's FAITH magazine:

Once personality emerges, it doesn't shift much: a 2010 study found that personality traits first observed by elementary school teachers could predict adult behavior.

But psychographics, in theory, go deeper, claiming to be able to predict a voter's personality traits, such as how organized, extroverted, or quick to worry they are, by looking at a person's online and consumer behavior.

«Risk of distracted driving predicted by age, gender, personality and driving frequency: Young men, people who drive more often, and extraverted or neurotic people are more likely to be distracted while driving.»

Since the brain network is formed by genetics and experiences, it is possible to predict one's age, personality, or performance in cognitive functions from functional connectivity patterns in their brain network.

The study found that both thoughts and ascent behaviors predicted bipolar risk, characterized by a hypomanic personality style, while negative thoughts and descent behaviors were associated with depression.

By measuring different parameters of our users» personalities, such as open - mindedness and adventurousness, we're able to accurately predict which singles you will have a connection with.

In a 1956 review of the research on «School Personnel and Mental Health,» J. T. Hunt, a professor at the University of North Carolina, noted that «efforts to identify personality differences between superior and inferior school personnel, to isolate a «teacher personality,» or to predict either competence or effectiveness of student teachers by means of psychometric or projective instruments, led to limited results.»

In contrast, scores on the liveliness and attachment scales of the Budapest Canine Personality Survey, as well as scores on the Dog - ADHD (attention deficit hyperactivity disorder) Rating Scale, were not predicted by country.

Data for Desire (2014) explores and predicts - through statistical analysis devised by a group of French mathematicians - the personality traits and actions of young North American adults at a house party, attempting to map the unpredictable nature of physical attraction.

«By having hundreds and hundreds of thousands of Americans undertake this survey, we were able to form a model to predict the personality of every single adult in the United States of America,» Nix declared in a speech at a New York conference in September 2016.

In the email obtained by CNN, Kogan said he provided «predicted personality scores» on 30 million Americans to SCL, Cambridge Analytica's parent company.

The profiling approach utilized by Cambridge Analytica allowed it to predict the voting likelihoods of individual people based on personality, the firm claimed.

It claimed to predict where I would fall on the five - factor personality model, which won widespread adoption by psychologists starting in the 1980s as a standard inventory of universal traits known as «the Big Five.»

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

The founders were also influenced by a 2013 paper, also by Kosinski, that showed that Facebook Likes could predict sexual orientation, ethnicity, personality, IQ, and more.

According to reporting by The New York Times, Cambridge Analytica — a voter - profiling firm — amassed information on 50 million Facebook users in an attempt to predict people's personalities and...

In the case of Cambridge Analytica, a seemingly innocuous Facebook app called «thisisyourdigitallife,» which claimed it could predict aspects of a user's personality, was created by Cambridge psychology professor Aleksandr Kogan.

Regression analyses showed that positive well - being (e.g. happiness, positive affect and life satisfaction) was predicted by positive personality (high optimism, self - esteem and self - efficacy), high social support and low stressors and low negative coping scores.

Negative outcomes were predicted by high stressor, coping and conscientiousness scores, and low positive personality and low social support scores.

For example, some have found significant differences between children with divorced and continuously married parents even after controlling for personality traits such as depression and antisocial behavior in parents.59 Others have found higher rates of problems among children with single parents, using statistical methods that adjust for unmeasured variables that, in principle, should include parents» personality traits as well as many genetic influences.60 And a few studies have found that the link between parental divorce and children's problems is similar for adopted and biological children — a finding that can not be explained by genetic transmission.61 Another study, based on a large sample of twins, found that growing up in a single - parent family predicted depression in adulthood even with genetic resemblance controlled statistically.62 Although some degree of selection still may be operating, the weight of the evidence strongly suggests that growing up without two biological parents in the home increases children's risk of a variety of cognitive, emotional, and social problems.

Cognitive problems were predicted by high stressor and negative coping scores and low positive personality scores.

Negative outcomes (e.g. perceived stress, anxiety and depression) were predicted by high stressor, coping and conscientiousness scores, and low positive personality and social support scores.

In the study, it was hypothesized that perceived partner responsiveness — the extent to which you feel valued, cared for, and understood by your romantic partner — would predict greater well - being over time above and beyond other variables like age, personality, and the responsiveness of friends and family — all of which can also influence well - being.

Results from regressions showed that positive well - being was predicted by positive personality and positive coping.

TITLE: Adjustment of College Freshmen as Predicted by Both Perceived Parenting Style and the Five Factor Model of Personality — Personality and Adjustment

Studies that look at treatment by individual characteristics interactions (i.e., aptitude by treatment interactions) would be especially welcome (e.g., studies that examine personality traits that predict who benefits more from group therapy versus individual therapy).

Among ADHD girls, childhood - onset (< 12 years) CD was predicted by paternal antisocial personality disorder (ASPD), while adolescent - onset CD (⩾ 12 years) was predicted by family conflict.

Adjustment of College Freshmen as Predicted by Both Perceived Parenting Style and the Five Factor Model of Personality — Personality and Adjustment

We expected that, in a hybrid Structural Equation Model, the selected study variables (personality, attachment style and interpersonal attraction) will predict romantic inclination mediated by social influence (media and peer influence).

There is no single personality profile that can reliably predict who will use a gun in a violent act, according to a report issued by the APA in December 2013 entitled Gun Violence: Prediction, Prevention, and Policy.

It is evident from the model that among the proximal factors namely personality, attachment style and interpersonal attraction, the role of personality is stronger in predicting romantic inclination (0.24) compared to insignificant and weak direct paths shown by attachment style and interpersonal attraction (0.02 & 0.01 respectively).

Social psychologists argued that behavior is not stable, but varies with context, so that predicting behavior by personality test was impossible.

Absorbed in the task: Personality measures predict engagement during task performance as tracked by error negativity and asymmetrical frontal activity.