线索起点模糊水平和注视时间对汉字知觉干扰效应的影响

采用经高斯模糊技术处理的汉字,以辨认为任务,实验一考察了线索起点模糊水平和注视时间、实验二考察了线索注视时间和刺激辨认时间对知觉干扰效应的影响.结果发现:1.线索起点模糊水平的增加对汉字知觉干扰效应存在显著的影响;2.超越激活水平的最低阈值之后,线索注视时间的延长(1、2、4、6秒)不再影响知觉干扰效应;3.刺激辨认时间的延长(2、4、6秒)对知觉干扰效应影响不大.这些结果都倾向于支持失匹配假说.     

Positional character frequency and word spacing facilitate the acquisition of novel words during Chinese children's reading

Children's eye movements were recorded to examine the role of word spacing and positional character frequency on the process of Chinese lexical acquisition during reading. Three types of two-character novel pseudowords were constructed: words containing characters in positions in which they frequently occurred (congruent), words containing characters in positions they do not frequently occur in (incongruent) and words containing characters that do not have a strong position bias (balanced). There were two phases within the experiment, a learning phase and a test phase. There were also two learning groups: half the children read sentences in a word-spaced format and the other half read the sentences in an unspaced format during the learning phase. All the participants read normal, unspaced text at test. A benefit of word spacing was observed in the learning phase, but not at test. Also, facilitatory effects of positional character congruency were found both in the learning and test phase; however, this benefit was greatly reduced at test. Furthermore, we did not find any interaction between word spacing and positional character frequencies, indicating that these two types of cues affect lexical acquisition independently. With respect to theoretical accounts of lexical acquisition, we argue that word spacing might facilitate the very earliest stages of word learning by clearly demarking word boundary locations. In contrast, we argue that characters' positional frequencies might affect relatively later stages of word learning.     

Latent growth curve analysis with dichotomous items: Comparing four approaches

A Monte Carlo study was used to compare four approaches to growth curve analysis of subjects assessed repeatedly with the same set of dichotomous items: A two‐step procedure first estimating latent trait measures using MULTILOG and then using a hierarchical linear model to examine the changing trajectories with the estimated abilities as the outcome variable; a structural equation model using modified weighted least squares (WLSMV) estimation; and two approaches in the framework of multilevel item response models, including a hierarchical generalized linear model using Laplace estimation, and Bayesian analysis using Markov chain Monte Carlo (MCMC). These four methods have similar power in detecting the average linear slope across time. MCMC and Laplace estimates perform relatively better on the bias of the average linear slope and corresponding standard error, as well as the item location parameters. For the variance of the random intercept, and the covariance between the random intercept and slope, all estimates are biased in most conditions. For the random slope variance, only Laplace estimates are unbiased when there are eight time points.     

How a Reflection Intervention Improves the Effect of Learning Goals on Performance Outcomes in a Complex Decision-Making Task

We aim to advance the learning goal literature by examining the contingent effect of a reflection intervention on the relationship between learning goals and performance in a complex decision-making task. Data were obtained from a laboratory experiment with a microworld simulation as the experimental task. Participants were randomly allocated to one of the four conditions in a 2 × 2 (reflection intervention: yes vs. no; learning goals: easier vs. more challenging) between-subjects design (N = 140). Our findings suggest that both learning goals and reflection interventions are effective learning mechanisms in complex tasks. Reflection interventions strengthen the positive performance effect of learning goals. Specifically, the combination of a reflection intervention and more challenging learning goals leads to the highest performance. In the current dynamic business environment, effectively solving complex decision-making tasks is an enduring challenge. By integrating the reflection literature with goal-setting theory, we provide evidence of the joint effect of a reflection intervention and learning goals on subsequent task performance. Our findings help scholars and practitioners to design effective learning interventions to solve complex decision-making tasks. Our study is the first to investigate the joint effect of a reflection intervention (particularly, coached feedback reflection) and learning goals on task performance. Additionally, we are among the first to examine the combined use of learning goals and performance goals in a complex decision-making task.     

大学生社会行为、成就动机与网络成瘾倾向的关系研究——以武汉市5所高校为例

运用问卷调查法探讨大学生的社会行为、成就动机与网络成瘾倾向的关系。对299位大学生的调查结果表明:(1)追求成功动机、避免失败动机和社交能力对大学生网络成瘾倾向有直接影响;(2)成就动机还通过社交能力间接影响网络成瘾倾向。