Simons Jeffrey S, Dvorak Robert D, Lau-Barraco Cathy
Department of Psychology, The University of South Dakota, Vermillion, SD 57069, USA.
Psychol Addict Behav. 2009 Jun;23(2):315-28. doi: 10.1037/a0015834.
We used multidimensional scaling to model the semantic network of alcohol and marijuana expectancies (N=897). Preference mapping was used to estimate vectors representing patterns of activation through the network as a function of levels of behavioral inhibition (BIS) and behavioral activation (BAS). Individuals with low BIS combined with high BAS levels exhibited patterns of activation emphasizing behavioral activation similar to heavier drug users in previous research. High BIS, low BAS individuals exhibited activation patterns with greater emphasis on inhibitory expectancies similar to low-level users. Differences in expectancy activation patterns were maintained after controlling for substance use and gender. Individual differences in BIS/BAS are associated with the organization of semantic networks and patterns of activation of expectancies contributing to differences in substance use behavior.
我们使用多维标度法对酒精和大麻预期的语义网络进行建模（N = 897）。偏好映射用于估计代表通过该网络的激活模式的向量，该模式是行为抑制（BIS）和行为激活（BAS）水平的函数。与先前研究中重度吸毒者类似，低BIS与高BAS水平的个体表现出强调行为激活的激活模式。高BIS、低BAS的个体表现出的激活模式更强调抑制预期，类似于低水平使用者。在控制了物质使用和性别后，预期激活模式的差异依然存在。BIS/BAS的个体差异与语义网络的组织以及预期激活模式相关，这些预期激活模式导致了物质使用行为的差异。
