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(2015) found that, relative to the negative attitude dimension, the positive attitude dimension was more predictive of behavioural intentions to binge-drink (in study 1, β for the positive attitude dimension = 0.57, p < .01 and β for the negative attitude dimension = -0.17, p < .05; in study 2, β for the positive attitude dimension = 0.64, p < .01 and β for the negative attitude dimension = -0.18, p < .01), smoke (β for the positive attitude dimension = 0.62, p < .01 and β for the negative attitude dimension = -0.25, p < .01) and consume an unhealthy diet (β for the positive attitude dimension = 0.52, p < .01 and β for the negative attitude dimension = -0.17, p < .01).
(2015) found that the positive attitude dimension was more predictive of self-reported speeding behaviour on two road types (urban and rural roads) than was the negative attitude dimension (for speeding on urban roads, β for the positive attitude dimension = 0.31, p < .002 and β for the negative attitude dimension = -0.11, p < .001; for speeding on rural roads, β for the positive attitude dimension = 0.38, p < .002 and β for the negative attitude dimension = -0.11, p <
In a subsequent study, McCartan and Elliott (2018) found that the positive attitude dimension was more predictive of objectively measured speeding behaviour on a driving simulator than was the negative attitude dimension (β for the positive attitude dimension = 0.46, p < .001 and β for the negative attitude dimension = -0.21, p < .05).
It is also worth noting that recent research on bi-dimensional attitudes has shown that attitude accessibility helps explain why the positive attitude dimension is the stronger predictor of speeding than the negative dimension (McCartan & Elliott, 2018).
This should result, on average, in the positive attitude dimension being reinforced to a greater extent than the negative dimension.
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