Sentences with phrase «psychological data based»

Ted Cruz's presidential campaign is using psychological data based on research spanning tens of millions of Facebook users, harvested largely without their permission, to boost his surging White House run and gain an edge over Donald Trump and other Republican rivals, the Guardian can reveal.»

Cruz hired Cambridge Analytica to use psychological data based on its research of Facebook users pulled without permission, the Guardian reported.

In the race to advance data - driven electioneering strategies pioneered by successive Obama campaigns, Cruz has turned to Cambridge Analytica for its unparalleled offering of psychological data based on a treasure trove of Facebook «likes», allowing it to match individuals» traits with existing voter datasets, such as who owned a gun.

In the race to advance data - driven electioneering strategies pioneered by successive Obama campaigns, Cruz has turned to Cambridge Analytica for its unparalleled offering of psychological data based on a treasure trove of Facebook «likes», allowing it to match individuals» traits with existing voter datasets, such as who owned a gun.

Ted Cruz's presidential campaign is using psychological data based on research spanning tens of millions of Facebook users, harvested largely without their permission, to boost his surging White House run and gain an edge over Donald Trump and other Republican rivals, the Guardian can reveal.»

The report suggested the Republican candidate was using psychological data based on research spanning tens of millions of Facebook users in an attempt to gain an advantage over his political rivals — including Donald Trump.

Not exact matches

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 NYT reports it has seen documents showing that a London - based employee of the big data firm — named as Alfredas Chmieliauskas — worked with the CA data scientists who were building its psychological profiling technology.

A major deficiency in recognizing the spiritual component in the field of addictions has been the lack of clearly defined criteria, based on hard data, that measure up to social, psychological, and medical standards.

It was a Palantir employee in London, working closely with the data scientists building Cambridge's psychological profiling technology, who suggested the scientists create their own app — a mobile - phone - based personality quiz — to gain access to Facebook users» friend networks, according to documents obtained by The New York Times.

He also played down the role of psychological profiling in the company's work, much of which, Mr. Tayler suggested, is still based on traditional data analytics and marketing.

BOX 23, A-15-4; 30219212 / 734979 SAPA Requests for Translations of SAPA materials, 1966 - 1968 Prerequisites for SAPA The Psychological Basis of SAPA, 1965 Requests for SAPA to be Used in Canada, 1966 - 1968 Requests for Assistance with Inservice programs, 1967 - 1968 Schools Using SAPA, 1966 - 1968 Speakers on SAPA for NSTA and Other Meetings, 1968 Suggestions for Revisions of Part 4, 1967 - 1968 Suggestions for Revisions of the Commentary, 1967 - 1968 Summer Institutes for SAPA, Locations, 1968 Summer Institutes for SAPA, Announcement Forms, 1968 Inservice Programs, 1968 - 1969 Consultant Recommendations, 1967 - 1968 Inquiries About Films, 1968 Inquiries About Kits, 1967 - 1968 Inquiries About Evaluations, 1968 Tryout Teacher List, 1967 - 1968 Tryout Centers, 1967 - 1968 Tryout Feedback Forms, 1967 - 1968 Tryout Center Coordinators, 1967 - 1968 Cancelled Tryout Centers, 1967 - 1968 Volunteer Teachers for Parts F & G, 1967 - 1968 List of Teachers for Tryout Centers, 1963 - 1966 Tucson, AZ, Dr. Ed McCullough, 1964 - 1968 Tallahassee, FL, Mr. VanPierce, 1964 - 1968 Chicago, IL, University of Chicago, Miss Illa Podendorf, 1965 - 1969 Monmouth, IL, Professor David Allison, 1964 - 1968 Overland Park, KS, Mr. R. Scott Irwin and Mrs. John Muller, 1964 - 1968 Baltimore, MD, Mr. Daniel Rochowiak, 1964 - 1968 Kern County, CA, Mr. Dale Easter and Mr. Edward Price, 1964 - 1967 Philadelphia, PA, Mrs. Margaret Efraemson, 1968 Austin, TX, Dr. David Butts, 1968 Seattle, WA, Mrs. Louisa Crook, 1968 Oshkosh, WI, Dr. Robert White, 1968 John R. Mayer, personal correspondence, 1966 - 1969 Teacher Response Sheets, 1966 - 1967 Overland, KS Oshkosh, WI Monmouth, IL Baltimore, MD Teacher Response Checklist SAPA Feedback, 1965 - 1966 Using Time Space Relations Communicating Observing Formulating Models Defining Operationally Interpreting Data Classifying (2 Folders) Measuring Inferring Predicting Formulating Hypothesis Controlling Variables Experimenting Using Numbers SAPA Response Sheets for Competency Measures, 1966

Data from 160,000 ranked chess players and more than 5 million chess matches suggest that women playing against men perform better than expected based on their official chess ratings, according to new findings published in Psychological Science.

MB: So in 2017 you can claim you have psychological profiles of 220m U.S. citizens based on five thousand separate data sets?

The NYT reports it has seen documents showing that a London - based employee of the big data firm — named as Alfredas Chmieliauskas — worked with the CA data scientists who were building its psychological profiling technology.

«By combining advanced data analytics with psychological research based off the five factor model for gauging personality traits, OCEAN, Cambridge Analytica helped the campaign identify likely pro-Cruz caucus voters and reach out to them with messages tailored to resonate specifically with their personality types,» stated the press release.

It was a Palantir employee in London, working closely with the data scientists building Cambridge's psychological profiling technology, who suggested the scientists create their own app — a mobile - phone - based personality quiz — to gain access to Facebook users» friend networks, according to documents obtained by The New York Times.

The company closely associated with Ted Cruz's data - centric primary campaign has switched teams: Cambridge Analytica, the London - based outfit that boasts an ability to target voters based on their unconscious psychological biases is now working behind the scenes for Donald Trump.

He also played down the role of psychological profiling in the company's work, much of which, Mr. Tayler suggested, is still based on traditional data analytics and marketing.

While initially it was assumed that the London - based consultancy gained access to «only» 50 million accounts, for political targeting and psychological profiling, including during the 2016 US election campaign, on Wednesday Facebook revealed that Cambridge Analytica harvested data from 87 million people, including 71 million Americans.

While initially it was assumed that the London - based data mining firm gained access to «only» 50 million accounts, for political targeting and psychological profiling, including during the 2016 US election campaign, on Wednesday Schroepfer revealed that Cambridge Analytica harvested data from 87 million people, including 71 million Americans.

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.

• Assist the teacher in classroom activities while catering for emotional, psychological, social and cognitive needs of physically or mentally disabled students • Provide one to one tutoring and reinforce daily lessons in small groups • Identify weak areas of students and develop individualized lesson plans accordingly • Supervise the children during play and lunchtime • Inculcate strong moral and social values among the students to make them responsible citizens • Facilitate the teacher in conducting various classroom activities • Maintain all teaching aids in an organized manner • Devise need - based AV aids to facilitate teaching process • Assess multiple instructional strategies for effectiveness and change the teaching methodology as per requirement • Carefully record and gauge each student's progress and discuss the same regularly with teachers and parents • Encourage students to participate in extracurricular activities and boost their confidence in all possible ways • Communicate home assignments clearly, mark homework and test papers • Assist students in completing classroom assignments • Maintain daily attendance and early departure records • Discuss individual cases of individual needs and interests with teachers and parents of the student • Develop and implement targeted instructional strategies to cater for particular needs of each student • Observe students» behavior at playtime and chalk out a behavioral intervention plan to address any inappropriate, violent or disruptive behavior • Operate adaptive technological equipment single - handedly • Maintain complete confidentiality of student data • Aid physical, speech and rehabilitative therapists in their sessions and encourage the student to cooperate with them

Investigators have used it as the criterion for diagnosis of behavior disturbance against which to gauge the validity of both screening instruments27 and psychological interview measures.28 The published Spanish version of the CBCL used in this study has been found to have good internal consistency and concurrent validity in Spanish - speaking populations.29 The CBCL was chosen as the standard of comparison to avoid basing the calculation of PSC validity on a small subset of the data as done in previous studies using structured interviews as the standard24,30 - 32 and because the CBCL has been widely used as the criterion standard in previous PSC research in both middle - class30, 33 - 35 and low - income minority populations.8

Studies were identified from the literature through electronic databases [PSYCINFO, MEDLINE, Google Scholar, PSNYDEX (an electronic data base of psychological literature from German - speaking countries)-- search terms: (chronic illness or disability or aids or arthritis or asthma or cancer or cleft or chronic fatigue syndrome or cystic fibrosis or diabetes or fibromyalgia or hemophilia or hearing impairment or HIV or epilepsy or inflammatory bowel disease or migraine or rheumatism or sickle cell or spina bifida or visual impairment) and (children or adolescents or adolescence) and (depression or depressive or mental health or psychological health)-RSB-, and cross-referencing.

Based on data from surveys, service providers and the criminal justice system, the report examined how Indigenous violent victimisation rates vary with demographic, psychological and cultural factors.

Despite decades of research describing the harmful effects of family poverty on children's emotional and behavioral development, eg,12 - 17 experimental or quasi-experimental manipulations of family income that could go beyond description are rare18 and tend to examine the effect of such manipulations on physical health or academic attainment, rather than emotional or behavioral functioning.19, 20 Other analyses of the Great Smoky Mountains data set have focused on educational and criminal outcomes.21 The few studies looking at emotional or behavioral outcomes tend to have a short time frame.22, 23 Some studies of school - based interventions have followed up with children through to adulthood, 24,25 but we have found none that have looked at the long - term effects of family income supplementation on adult psychological functioning.

Psychological researchers, meanwhile, are hard at work trying to develop data - based approaches to figuring out who will fall and stay in love, and who won't.

Accordingly, the present study used latent difference score modeling with data from a large population - based sample of colorectal cancer patients to: 1) describe the trajectory of post-traumatic growth for colorectal cancer patients from soon after diagnosis to five years subsequently 2) assess the heterogeneity of a post-traumatic growth response to cancer over time and 3) describe the simultaneous and longitudinal relationships between post-traumatic growth and psychological distress after colorectal cancer.

One Swedish study, based on previous waves of LNU data, also, however, just like the British study by Sigle - Rushton et al., shows that the association between childhood family structure and psychological well - being in adult age (19 — 34 years) has not changed between those born in the period 1934 — 1949 and those born 1966 — 1981 (Gähler and Garriga 2013).

Our data indicate that AFQ - Y scores were more substantially correlated with anxiety and depression than with oppositional / conduct problems and aggression, on the basis of which one might conclude that psychological inflexibility is more relevant for internalizing than for externalizing problems.

Based on data from 348 academics, the results support the mediating role of psychological empowerment on job satisfaction, in that when employees perceive their leader as transformational they feel more psychologically empowered, which in turn increases job satisfaction levels.