态度结构一致性对态度-行为关系的影响：个体与群体水平的研究

Social psychologists have long been interested in understanding the conditions under which attitudes influence behaviors, and they have formed two relatively independent theoretical perspectives in the attitude-behavior domain. One perspective, which we adopt in the present paper, focuses on investigating the effect of attitude strength on the attitude-behavior relationship. Specifically, the present research investigates the role of structural consistency, a dimension of attitude strength, on the attitude-behavior relationship. Structural consistency has typically been defined as the extent to which one aspect of individual’s attitude is consistent with either his or her overall attitude toward the object or the other aspect of the attitude, including affective-cognitive consistency (ACC), evaluative-cognitive consistency (ECC) and evaluative-affective consistency (EAC). The ECC and EAC can be integrated into the attitude base. Despite the evidence that structural consistency is associated with attitude-behavior relationship, there are some limitations in previous studies: (1) attitude base and ACC have been rarely studied together ;( 2) researchers often used the term behavior in a broad sense to encompass behavioral intentions as well as actual behaviors ;( 3) the effects were all investigated at individual level. The present research tried to explore the effects of ACC and attitude base on attitude-behavioral intention-actual behavior relationships at individual and group levels in different behavior areas including shopping, supportive behavior towards officials, and offensive behavior towards governors and central and local governments. The roles of affective and cognitive components of attitudes on general attitudes and following behaviors were also examined in this research. The results indicated that: A. At individual and group levels, the effect of structural consistency on attitude –intention relation is as the same as its effect on attitude-behavior relation, but it varies in different areas. On the other hand, the effect of structural consistency on explicit attitude-behavior relation is different from its effect on implicit attitude-behavior relation. B. The cognitive components of the individuals and groups’ implicit attitudes towards officials, the implicit and explicit attitudes towards governors, and the public’s attitudes towards central and local governments exert the stronger influence on general attitudes. Similarly, the cognitive components also exert the stronger influence on groups’ supportive behaviors towards officials and offensive behaviors towards governors and governments. C. Both group attitude and emotion can influence the group offensive behavior towards governors. The group attitude exerts its influence through the mediating effects of behavior intention and group emotion. The group emotion which is the core factor can exert the direct influence on group offensive behavior towards governors. D. At individual and group levels, the implicit and explicit measures should be used together to collect the attitude data, because the implicit and explicit attitudes can both predict behaviors under most conditions. It is the best implicit attitude measure to use the experts’ evaluations of listed words. And the emotion should be measured by the experts’ evaluations of listed words if the emotion data is used to predict the following behavior.

An Accurate and Fast Behavioral Model for PLL Frequency Synthesizer Phase Noise/Spurs Prediction

This paper presents a behavior model for PLL Frequency Synthesizer. All the noise sources are modeled with noise voltages or currents in time-domain. An accurate VCO noise model is introduced, including both thermal noise and 1/f noise. The behavioral model can be co-simulated with transistor level circuits with fast speed and provides more accurate phase noise and spurs prediction. Comparison shows that simulation results match very well with measurement results.

Behavioral responses of tilapia (Oreochromis niloticus) to acute fluctuations in dissolved oxygen levels as monitored by computer vision

Behavioral and ventilatory parameters have the possibility of predicting the stress state of fish in vivo and in situ. This paper presents a new image-processing algorithm for quantifying the average swimming speed of a fish school in an aquarium. This method is based on the alteration in projected area caused by the movement of individual fish during frame sequences captured at given time intervals. The image enhancement method increases the contrast between fish and background, and is thus suitable for use in turbid aquaculture water. Behavioral parameters (swimming activity and distribution parameters) and changes in ventilation frequency (VF) of tilapia (Oreochromis niloticus) responded to acute fluctuations in dissolved oxygen (DO) which were monitored continuously in the course of normoxia, falling DO level, maintenance of hypoxia (three levels of 1.5, 0.8 and 0.3 mg l(-1)) and subsequent recovery to normoxia. These parameters responded sensitively to acute variations in DO level; they displayed significant changes (P < 0.05) during severe hypoxia (0.8 and 0.3 mg l(-1) level) compared with normoxic condition, but there was no significant difference under conditions of mild hypoxia (1.5 mg l(-1) level). There was no significant difference in VF between two levels of severe hypoxia 0.8 and 0.3 mg l(-1) level during the low DO condition. The activity and distribution parameters displayed distinguishable differences between the 0.8 and 0.3 mg l(-1) levels. The behavioral parameters are thus capable of distinguishing between different degrees of severe hypoxia, though there were relatively large fluctuations. (c) 2006 Elsevier B.V. All rights reserved.