Sentences with phrase «outcome predictions when»

Another way to approach this question is to determine the incremental contribution of grit to outcome predictions when other measures of related constructs are entered into the prediction equation.

Another way to approach this question is to determine the incremental contribution of grit to outcome predictions when other measures of related constructs are entered into the prediction equation.

Not exact matches

«Objective predictions were difficult to make when patient outcomes could range from asymptomatic to complex organ failure with little clinical warning.

September 1, 2016 • Analyzing an event by breaking it down into details might seem like a good way to predict the outcome, but social science research suggests that when most of us do it, we make worse predictions.

These are the precious moments when a teacher can listen attentively to a child explain how to do a math problem, engage in discussions with her about her writing, or hear her predictions about a book's outcome.

Briggs and Domingue found strong evidence of these illogical results when using the L.A. Times model, especially for reading outcomes: «Because our sensitivity test did show this sort of backwards prediction, we can conclude that estimates of teacher effectiveness in LAUSD are a biased proxy for teacher quality.»

When reliable direct observations are not available, but theories produce plausible predictions, the most prudent approach is to take advantage of the theories doing it objectively and taking great effort to avoid biases that could seriously affect the outcome.

In its own way does not mean by default correctness, accuracy or a satisfactory precision, but never the less is what it always happens when trying to have a look, a «prediction», a hint or an evaluation of the future and its outcomes in any regard you can think and concern about.

When respondents were asked for their perspectives on AI and its effect on the legal industry, 71 % predicted it would have the biggest impact on electronic discovery in the areas of case assessment and predictive coding (TAR), coming in next at 41 % was document automation, followed by legal research (40 %), contract analysis / automation (34 %), and case / outcome prediction (24 %).

While, obviously, the prediction of future events and outcomes and evidence are not entirely mutually exclusive, in my opinion, the best decisions are made only when the former is soundly and verifiably based on the latter.

· When asked how AI will influence legal, respondents mentioned eDiscovery (71 %), document automation (41 %), legal research (41 %), contract analysis / automation (34 %), and case / outcome predictions (24 %).