Sentences with phrase «model in a large sample»

The present study tested this negative cascade model in a large sample of children living in high - risk neighborhoods.

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 scenario model is pre-populated with data based on a large sample of U.S. public companies (more than 2,500 companies) over a seven - year period (2004 - 2011), as compiled by BoardEx.1 To access the pre-populated model calculations, click the Calculations / Historical data and Attrition data tabs in the Excel spreadsheet that you can download from this page.

The reason they didn't find anyone breaking the model was that they had a very high standard: players had to really outscore the model over multiple seasons in order to produce a sample size large enough for them to pay attention, and individual players have rarely done that.

Tissue engineers have been unable to grow epidermis with the functional barrier needed for drug testing, and have been further limited in producing an in vitro (lab) model for large - scale drug screening by the number of cells that can be grown from a single skin biopsy sample.

Standardized husbandry in the dairy industry, combined with systematic milking procedures, detailed record - keeping, and large sample sizes made the dairy cow a powerful model for the exploration of milk synthesis.

The scientists then used statistical models to evaluate the distribution of cancer - linked DNA in the patients» blood samples over the seven - year study to find the largest degree of differences between patients with low and high levels of evidence of hypermethylation in their DNA.

Observations of gravitational lensing at that time already hinted the presence of dark energy, but both due to the small sample size and large uncertainty in the theoretical modeling of lensing rates the result was not widely accepted.

The insider doc aims to dive deep into what needs to be done to disrupt the thin - centric modeling milieu through the eyes of models, agents, photographers, and clients: larger sample sizes, the removal of plus - size boards and the eventual integration of all models at agencies, and making plus - size model appearances in high profile media a non-event.

The main findings were not affected when the study estimated different kinds of models and made the sample larger by including students that became eligible for a voucher in any year after the program initially started in 2007.

Rothstein's research has found that such models can yield very different findings for the same teacher from one year to the next, in part because 25 students or so are not a large enough sample size to create a reliable estimate of a teacher's teaching ability.

Illustrate and explain the calculation by using equations, rectangular arrays, and / or area models Sample Activities: Use Partial Products to Multiply (v. 1 - 3) Multiplication Strategy: Doubling and Halving Double and Halve (v. 1) Make the Largest Product (3 x 1 - digit) Multiplication Race (1 x 3 - digit) Also included in 4th Grade Math Centers: Model Multiplication with Base Ten Blocks Use an Area Model to Multiply (v. 1 - 3) Estimate Products by Rounding Multiply by 10s, 100s and 1000s Decompose a Factor Multiplication Race (2 x 2 - digit) Double and Halve (v. 2) Make the Largest Product (4 x 1 - digit) Make the Largest Product (2 x 2 - digit) Make the Smallest Product (3 x 1 - digit) Make the Smallest Product (4 x 1 - digit) Make the Smallest Product (2 x 2 - digit) Write and Solve: Multiplication

There was a large enough sample of students to compare in a lecture delivery model and the flipped classroom model.

Connolley and Bracegirdle (2007) show that expected trends in a much larger sample of models are very varied (though the ensemble mean warms at about the rate seen in the Steig et al paper).

We need further field data from key areas of East Antarctica to reject some of the ice model scenarios — although there are fewer rock outcrops to sample geologically and geodetically in this region there are still large regions where outcrops exist but no, or few, data have been collected and / or results have been published.

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.

Other strengths of our analysis include its large nationally representative and diverse sample, as well as the rich availability of covariates for inclusion in multivariable models.

Finally, using questionnaire data of attachment disorder behaviours in a very large community sample of 13,472 twins, both twin correlations and model - fitting results suggested a strong genetic influence on attachment disorder behaviour, especially in boys [80].

We are also pleased that, in addition to a large overall sample, the study has a large number of families representing each of the four models in the study.

The final sample includes more participants from models that have the largest number of sites in the study and that enroll larger numbers of women eligible for the study (that is, women who are pregnant or have a child under six months of age).

Hence, the primary aim of the present study was to examine how well the proposed theoretical model predicted APP in young adulthood, in a large, community - based sample assessed in early childhood, adolescence, and emerging adulthood.

With regard to the sample size required for valid application of this modeling approach, we are hesitant to speak of sufficient sample sizes, since a large number of observations with little score variation over time (as in our second empirical application) does not necessarily provide richer information than a smaller sample with more fluctuations.

In a study with a large sample of students (N = 602), Neal and Sellbom (2012) found that the data generated by the SRP - III showed «superior fit» to a four - factor model relative to other models (p. 244).

A structural model was developed and tested in which the mediating roles of insecure adult attachment and emotional dysregulation were examined in a large sample of college students (N = 541).

A further limitation is the sample size; although a relatively large sample was recruited, the sample was not large enough to examine all of the predictors and all possible interactions in a single model.

First, although the present model was based on a large sample collected in the Hong Kong Chinese context, the generalizability and replicability of the preferred model should be further examined.

Although bootstrap analyses allow for modeling with small sample sizes, replications with larger samples of youth with T1DM in poor metabolic control are warranted.