文本内容和图文顺序对图片理解的影响

给同一张图片配以两段不同内容的文本,并将文本与图片按照文先图后、图文同时、图先文后三种不同的顺序分别呈现给6组共90名大学生被试阅读,以考察被试对图片中不同涵义的理解效果。结果表明:1)文本内容效应显著。图片中与文本内容相关的涵义得到了更深的加工,与本文内容不相关的涵义得到了更少的加工。2)在对图片中与被试先前经验的自然预期相符的涵义的加工上,图文顺序与文本情境之间存在显著的交互作用;在对图片中非自然预期涵义的加工上,图文顺序与文本情境之间不存在显著的交互作用。     

内隐序列学习的表征机制及年龄效应研究

该研究从年龄效应这一独特视角探讨了内隐序列学习的表征机制。结果表明:(1)内隐序列学习存在具体联结和抽象层级编码双重表征机制,且在该研究中以抽象编码为主;(2)老、青、幼三组被试的内隐序列学习无显著差异,间接支持了具体联结机制不起主要作用的结论。该研究的推论是:(1)内隐序列学习的表征是一个遵循“最优级编码”的动态过程;(2)该过程不涉及注意机制和短时记忆。     

9~10岁儿童和成人的一致性序列效应

一致性序列效应是指个体根据前一情境中的冲突信息, 灵活适应当前环境的能力。研究选取9~10岁的儿童和18~25岁的成人为被试, 采用色-词Stroop任务和Stroop与Flanker刺激混合的任务, 在控制重复启动的影响后, 考察一致性序列效应在不同任务中的年龄差异。结果发现, 在不同的任务中, 儿童和成人均表现出显著的一致性序列效应, 且一致性序列效应的大小不存在显著差异。研究结果表明, 冲突适应过程涉及更高级的加工过程, 9~10岁的儿童已具备类似成人的、更一般化的冲突适应能力。     

Impaired sequential and partially compensated probabilistic skill learning in Parkinson's disease

The striatal dopaminergic dysfunction in Parkinson's disease (PD) has been associated with deficits in skill learning in numerous studies, but some of the findings remain controversial. Our aim was to explore the generality of the learning deficit using two widely reported skill learning tasks in the same group of Parkinson's patients. Thirty-four patients with PD (mean age: 62.83 years, SD: 7.67) were compared to age-matched healthy adults. Two tasks were employed: the Serial Reaction Time Task (SRT), testing the learning of motor sequences, and the Weather Prediction (WP) task, testing non-sequential probabilistic category learning. On the SRT task, patients with PD showed no significant evidence for sequence learning. These results support and also extend previous findings, suggesting that motor skill learning is vulnerable in PD. On the WP task, the PD group showed the same amount of learning as controls, but they exploited qualitatively different strategies in predicting the target categories. While controls typically combined probabilities from multiple predicting cues, patients with PD instead focused on individual cues. We also found moderate to high correlations between the different measures of skill learning. These findings support our hypothesis that skill learning is generally impaired in PD, and can in some cases be compensated by relying on alternative learning strategies.     

Resurgence of response sequences during extinction in rats shows a primacy effect

Rats were trained to emit a series of three-response sequences to a criterion (i.e., more than 80% of all emitted sequences correct over five successive sessions). Each rat was trained on a series of different, three-response sequences. After the final three-response sequence was acquired, two extinction tests were administered, and the three-response sequences that re-emerged during these extinction tests were noted. Resurgence effects during extinction were observed; that is, the previously trained sequences were emitted. These resurgence effects followed an orderly pattern, which involved a primacy effect. The rats initially emitted the immediately previously trained response, but then started to emit the response sequence they first were trained to emit. Thus, resurgence behavior during extinction can be an orderly function of previous training history. These results replicate those previously obtained with human subjects.     

USING HIGH-PROBABILITY INSTRUCTION SEQUENCES WITH FADING TO INCREASE STUDENT COMPLIANCE DURING TRANSITIONS

Making efficient transitions from one instructional activity to another has been shown to increase academic learning time and therefore student achievement. Because compliance with teacher instructions is a prerequisite for efficient transitions, we sought to determine if high-probability (high-p) instruction sequences issued by a classroom teacher would increase student compliance and decrease latency to comply during transitions. Three children in a regular second-grade classroom participated. Each day at the beginning of morning calendar time, the teacher issued five instructions to the class as a group while compliance data were recorded for the 3 target students. Following baseline, a multielement design was used to examine the effects of the high-p instruction sequence. We then systematically faded the number of instructions included in the high-p sequence as a means of transferring stimulus control to low-probability instructions. The procedure was effective for 2 of the 3 participants, and the results were maintained at 2-and 3-week follow-up. The implications of these findings for group applications of the high-p instruction sequence in regular education classrooms are discussed.     

Indclas: A three-way hierarchical classes model

A three-way three-mode extension of De Boeck and Rosenberg's (1988) two-way two-mode hierarchical classes model is presented for the analysis of individual differences in binary object × attribute arrays. In line with the two-way hierarchical classes model, the three-way extension represents both the association relation among the three modes and the set-theoretical relations among the elements of each model. An algorithm for fitting the model is presented and evaluated in a simulation study. The model is illustrated with data on psychiatric diagnosis. Finally, the relation between the model and extant models for three-way data is discussed.The research reported in this paper was partially supported by NATO (Grant CRG.921321 to Iven Van Mechelen and Seymour Rosenberg).     

A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data

This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze pick any/n choice data (e.g., consumers rendering buy/no buy decisions concerning a number of actual products). A maximum likelihood procedure is formulated to estimate a joint space of both individuals (represented as vectors) and stimuli (represented as points). The relevant psychometric literature concerning the spatial treatment of such binary choice data is reviewed. The nonlinear probit type model is described, as well as the conjugate gradient procedure used to estimate parameters. Results of Monte Carlo analyses investigating the performance of this methodology with synthetic choice data sets are presented. An application concerning consumer choices for eleven competitive brands of soft drinks is discussed. Finally, directions for future research are presented in terms of further applications and generalizing the model to accommodate three-way choice data.