More is more: The relationship between vocabulary size and word extension

This study experimentally tested the relationship between children’s lexicon size and their ability to learn new words within the domain of color. We manipulated the size of 25 20-month-olds’ color lexicons by training them with two, four, or six different color words over the course of eight training sessions. We subsequently tested children’s ability to extend new color words to new instances. We found that training with a broader number of color words led to increased extension of new words. The results suggest that children’s learning history predicts their ability to learn new words within domains.     

A preliminary investigation of within-year growth patterns in reading and mathematics curriculum-based measures

This study examined patterns of growth across benchmark assessments for curriculum-based measures (CBM) over 2 academic years, with the twofold purpose of replicating earlier findings of growth patterns on R-CBM and conducting a preliminary investigation of growth patterns on M-CBM and CBM-Maze. The sample included 898 cases from 3rd through 5th grade over 2 academic years from one elementary school in the rural Midwest. All students participated in tri-annual benchmark assessments in which they were administered R-CBM, CBM-Maze, and M-CBM. Repeated measures analysis of variance was used to examine patterns of growth for all three measures. Students demonstrated greater R-CBM weekly growth during winter-to-spring than fall-to-winter across grade levels. Patterns for CBM-Maze and M-CBM were somewhat inconsistent across school years and grade levels. Results are discussed in terms of contextual variables that may impact within-year growth patterns and technical characteristics of CBM slopes.     

Prescriptive Analysis: Further Individualization of Hypothesis Testing in Brief Experimental Analysis of Reading Fluency

Brief experimental analyses (BEA) have been used to identify effective individualized interventions for improving reading fluency with school-age children. Interventions involving incentives, modeling, repeated reading, and error correction are most often tested in a BEA. However, these interventions are rarely modified according to individual student needs. The current study examined the effects of varied levels of modeling (passage, sentence, word) and varied contingencies (tracking and fluency) on fluency in non-treated high-word overlap passages and general outcome measure passages. BEA-identified interventions were effective for improving reading fluency on non-treated passages for both second grade students and the third grade student. Notably, the effects reversed when intervention was withdrawn with one of the second grade students. Results are discussed in terms of considerations in the application of BEA technology in the schools.     

Learning How to Generalize

Generalization is a fundamental problem solved by every cognitive system in essentially every domain. Although it is known that how people generalize varies in complex ways depending on the context or domain, it is an open question how people learn the appropriate way to generalize for a new context. To understand this capability, we cast the problem of learning how to generalize as a problem of learning the appropriate hypothesis space for generalization. We propose a normative mathematical framework for learning how to generalize by learning inductive biases for which properties are relevant for generalization in a domain from the statistical structure of features and concepts observed in that domain. More formally, the framework predicts that an ideal learner should learn to generalize by either taking the weighted average of the results of generalizing according to each hypothesis space, with weights given by how well each hypothesis space fits the previously observed concepts, or by using the most likely hypothesis space. We compare the predictions of this framework to human generalization behavior with three experiments in one perceptual (rectangles) and two conceptual (animals and numbers) domains. Across all three studies we find support for the framework's predictions, including individual‐level support for averaging in the third study.     

Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners

The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real‐world categories that have many different features? Here we investigate the possibility that the structure of categories can help. We show that when categories follow a family resemblance structure, people are unaffected by the presence of additional features in learning. However, when categories are based on a single feature, they fall prey to the curse, and having additional irrelevant features hurts performance. We compare and contrast these results to three different computational models to show that a model with limited computational capacity best captures human performance across almost all of the conditions in both experiments.     

Categorical and dimensional perceptions in decoding emotional facial expressions

We investigated whether categorical perception and dimensional perception can co-occur while decoding emotional facial expressions. In Experiment 1, facial continua with endpoints consisting of four basic emotions (i.e., happiness–fear and anger–disgust) were created by a morphing technique. Participants rated each facial stimulus using a categorical strategy and a dimensional strategy. The results show that the happiness–fear continuum was divided into two clusters based on valence, even when using the dimensional strategy. Moreover, the faces were arrayed in order of the physical changes within each cluster. In Experiment 2, we found a category boundary within other continua (i.e., surprise–sadness and excitement–disgust) with regard to the arousal and valence dimensions. These findings indicate that categorical perception and dimensional perception co-occurred when emotional facial expressions were rated using a dimensional strategy, suggesting a hybrid theory of categorical and dimensional accounts.     

A response to "On token reinforcement and stuttering therapy: Another view on findings reported by Howie and Woods (1982)"

Ingham's (1983) critique of our research is based on the unwarranted assumption that it claimed to be a replication of Ingham and Andrews' (1973a) study. Our report did not claim to be a replication. Procedural differences between treatments do not preclude the possibility of drawing general conclusions that may apply to related treatments, or suggesting possible confounding variables that might be operating in another study. We have nevertheless dealt with each of Ingham's methodological objections. In general, we believe that we struck an acceptable compromise between the needs of clients and theoretical and research demands. We stand by our original conclusions, and note with satisfaction that Ingham concurs with our emphasis on systematic structure rather than the presence or absence of rewards as the crucial component of this type of stuttering treatment.     

利他行为的内隐启动研究

通过视觉与组词任务启动范式的两个实验考察了利他人物形象与利他词语对利他行为的内隐启动效应。结果发现,完成利他人物形象视觉启动(实验1)与完成利他组词任务启动(实验2)的实验组被试,在独裁者分配任务中分配给他人的钱数显著多于控制组被试。研究结果表明:利他人物形象视觉和利他语义组词都可以使个体的利他行为被显著直接无意识启动,即内隐启动。研究对设计能更好地启动人们的利他行为的一般情境有重要的启示。     

Why do older adults have difficulty with semantic fluency?

Aging involves many cognitive declines, particularly in fluid intelligence, with relative maintenance of crystallized intelligence. This paradox is evident in the language domain: lexical retrieval becomes slower and less accurate, despite well preserved vocabularies. Verbal fluency assesses both crystallized and fluid aspects of language. Semantic fluency hypothetically reflects semantic knowledge, while letter fluency putatively reflects executive functioning, which would predict a greater impact of aging on the latter. However, the opposite is typically observed.

To investigate factors contributing to such asymmetries, we examined verbal fluency in 86 adults (30-89 years). Multiple regression analyses indicated that semantic fluency depends largely on lexical retrieval speed, as well as visualization strategies to support controlled retrieval, skills which may disproportionately decline with age. By contrast, letter fluency relies heavily on vocabulary knowledge, providing some protection against age-related declines. These findings contribute to our understanding of the mechanisms of typical age-related declines in word retrieval.     

学龄早期词语阅读习得对阅读理解能力的预测作用：初始水平和发展速率的贡献

本研究测查了183名儿童在一年级期间（学年初,学年中,学年末）的词语阅读能力（词语解码,阅读流畅性）及一年级末和二年级末的阅读理解能力,采用分层线性模型估计每名儿童在一年级期间词语阅读能力的初始水平和发展速率,以考察二者对阅读理解能力的独立预测作用。结果表明,词语识别的初始水平和增长速率都能独立预测一年级末和二年级末的阅读理解能力,阅读流畅性的初始水平和增长速率只能独立预测二年级末的阅读理解能力,但可以预测阅读理解能力在一年级到二年级的增长。