Study 1 provided evidence that implicit normative evaluations and implicit attitudes uniquely predicted evaluations measured by the traditional IAT.
For professor effects, teaching evaluations and positive affect in response to trailers predicted evaluations of live lectures with superb accuracy (Table 2).
Multiple regression analyses showed that evaluations of trailers predicted evaluations of live lectures significantly (β = .58; Δ R = .24; t = 7.24; p < .05), but positive affect did not (β = .04; Δ R = .00; t = 0.47; n.s).s
To predict evaluation of variable with uncertainty, a novel method, called multi-evidential soft sensor model, was proposed based on evidence theory and multi-model strategy.
To identify the parameters involved in the overall and local models, the so-called imprecise training samples are constructed from running data by means of data analysis and expertise knowledge.To validate the proposed method, a numerical experiment was designed based on a UCI dataset, and the experimental results suggest its power for predicting evaluation of variables with uncertainty.
After exposing participants to a counter-stereotypic gender role model, group prototypicality no longer predicted leadership evaluation and selection.
The testosterone and NO levels of can be predicted via evaluation of sexual behavior of buffalo bull.
Of greater interest, representing cognitive or socio-cognitive functions of a technology differentially predicted the evaluation and design of lesson plans.
For example, the efficacy of chemotherapy could be first predicted by evaluation of Nrf2 expression and, if any of Nrf2 positive patients are assessed as being resistant to chemotherapy, then it may be possible to achieve sufficient efficacy of chemotherapy by concomitant inhibition of Nrf2.
The MEQ dimensions overall interest, valence and distraction predicted immediate evaluations, while the long-term evaluations were determined by interest and high scores on the personality traits agreeableness and conscientiousness.
