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891.
Perceived control (PC) is defined as thebelief that one can determine one’s own internal states and behavior, influence one’s environment, and/or bring about desired outcomes. Two important dimensions of PC are delineated: (1) whether the object of control is located in the past or the future and (2) whether the object of control is over outcome, behavior, or process. A variety of constructs and measures of PC (e.g., efficacy, attribution, and locus of control) are discussed in relation to these dimensions and selected studies are reviewed. The issues, controversies, and limits of the research on perceived control and health are addressed in terms of the antecedents and consequences of perceived control. Investigations should clearly conceptualize the object of perceived control, use measures that match the conceptualization, and when attempting to manipulate control, directly measure perceived control. The relation between PC and health outcomes is complex, and different aspects of PC may interact to affect health outcomes.  相似文献   
892.
Chronicle     
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893.
Chronicle     
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895.
Although several studies have shown that social reprimands can function as punishers, no study reported to date has isolated any of the factors influencing reprimand efficacy. Three experiments were conducted to investigate several factors. Experiment 1 used an alternating treatments design and was conducted on two elementary school boys, one of whom was in a special education class. Results showed that verbal reprimands delivered with eye contact and firm grasp of the student's shoulders reduced disruptive behavior to a greater extent than did verbal reprimands delivered without eye contact and grasp. Both types of reprimand were more effective than a baseline condition during which disruptive behavior was ignored. Experiment 2 also used an alternating treatments design and was conducted on one elementary school boy. Results demonstrated that reprimands delivered from one meter away were considerably more effective than reprimands delivered from seven meters away. Experiment 3 used a reversal design and was conducted on two pairs of elementary school children, one a pair of boys and the other a pair of girls. Results demonstrated that reprimands delivered to just one member of the pair reduced the disruptive behavior of both members of the pair. Thus, the effects of reprimands “spilled” over to nonreprimanded students.  相似文献   
896.
This study examined the proposition that blacks and whites make dispositional attributions for an in-group's positive behaviors and an out-group's negative behaviors. The study also examined whether this positive in-group bias was caused by dislike of the out-group or belief in a stereotype. Thus, blacks and whites made attributions to black and white others who succeeded or failed on tasks for which there was either no stereotype or a more negative stereotype of whites than of blacks. An out-group other's failure on both tasks was attributed to lack of ability more than was an in-group other's failure. This finding suggests that the in-group bias is caused by dislike of the out-group. Furthermore, in success conditions subjects' attributions to the in-group or out-group other did not differ. It was suggested that these attributions may result from a combination of an in-group bias and a polarized appraisal.  相似文献   
897.
English and Italian provide some interesting contrasts that are relevant to a controversial problem in psycholinguistics: the boundary between grammatical and extra-grammatical knowledge in sentence processing. Although both are SVO word order languages without case inflections to indicate basic grammatical relations, Italian permits far more variation in word order for pragmatic purposes. Hence Italians must rely more than English listeners on factors other than word order. In this experiment, Italian and English adults were asked to interpret 81 simple sentences varying word order, animacy contrasts between the two nouns, topicalization and contrastive stress. Italians relied primarily on semantic strategies while the English listeners relied on word order—including a tendency to interpret the second noun as subject in non-canonical word orders (corresponding to word order variations in informal English production). Italians also made greater use of topic and stress information. Finally, Italians were much slower and less consistent in the application of word order strategies even for reversible NVN sentences where there was no conflict between order and semantics. This suggests that Italian is ‘less’ of an SVO language than English. Semantic strategies apparently stand at the ‘core’ of Italian to the same extent that word order stands at the ‘core’ of English. It is suggested that these results pose problems for claims about a ‘universal’ separation between semantics and syntax, and for theories that postulate a ‘universal’ priority of one type of information over another. Results are discussed in the light of the competition model, a functionalist approach to grammar that accounts in a principled way for probabilistic outcomes and differential ‘weights’ among competing and converging sources of information in sentence processing.  相似文献   
898.
One class of models assumes that presentation of a signal results in an internal representation as a random variable. Depending on whether the signal is close to or far from the preceding signal, the variance of the representation is smaller or larger. Responses are determined largely by this random variable; however, when the signal is close to the preceding one, the response is generated by modifying the representation multiplicatively by some function of the ratio of the previous response to its representation. Power and linear functions are explored. The form of the random variable is assumed to be that arising from either the timing or the counting model operating on a Poisson process. Detailed analyses are carried out successfully only for the timing model with neural sample sizes independent of intensity; however, the data require the sample to increase with intensity. The linear response function coupled with the constant sample size counting model appears somewhat viable, but detailed calculations are very difficult to carry out. The second class of models postulates a power function relation between magnitude estimates and signals intensity for which the exponent is a Gaussian distributed random variable and the unit is the product of two log normal random variables. Again we assume an attention band such that succesive stimuli that are widely separated in intensity lead to independent samples of the random variables while a variety of assumptions is explored for successive stimuli that are near each other in intensity. Although they each give rise to the qualitative features of the data, estimates of parameters are sufficiently inconsistent that we are led to reject all of the submodels studied.  相似文献   
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