The life and times of PSI

This paper describes the essential features of the personalized system of instruction (PSI). Results from outcome research examining the effectiveness of PSI-based courses relative to traditional methods provide unequivocal support for the superiority of PSI. Parametric studies, or component analyses, show that the mastery requirement, immediate performance feedback, and review units are the key features underlying high quality student performances in PSI courses. The use of student proctors as peer-tutors, optional lectures, and selfpacing do not, in and of themselves, appear to be vital to student success in PSI courses. Despite its superiority, PSI has not supplanted traditional methods as the dominant pedagogical system in higher education. Difficulties inherent in overcoming the inertia of the lecture within our established instructional system, the implications of PSI for that system, and the Zeitgeist that permeates educational reform are the major obstacles to widespread adoption of PSI.     

Quantitative EEG Assessment During Neuropsychological Task Performance in Adults with Attention Deficit Hyperactivity Disorder

This study evaluated the neuropsychological performance of adults with and without Attention Deficit Hyperactivity Disorder (ADHD) during the Paced Auditory Serial Addition Test (PASAT), Wisconsin Card Sorting Test: Computerized Version 3 (WCST), and the Integrated Visual and Auditory Continuous Performance Test (IVA). Quantitative electroencephalographic (QEEG) data were also collected during task performance to examine differences in cortical activity between groups and tasks. Results suggest that adults with ADHD demonstrated lower levels of performance on the PASAT and IVA, tasks that involve working memory and processing speed, and sustained attention, respectively. Adults with ADHD also had more upper alpha activity during the IVA. Lastly, for the ADHD group, an increased theta/beta ratio during the IVA was significantly related to poorer attentional performance. The current results support reinforcing specific types of cortical activity though EEG operant conditioning (neurofeedback) as a treatment option in adults with ADHD. This paper is based largely in part on a dissertation by J. Noland White in partial fulfillment of the requirements of his doctoral program at The University of Tennessee. Portions of this study have been presented in summary form at several professional conferences.     

EFFECT OF REINFORCER MAGNITUDE ON PERFORMANCE MAINTAINED BY PROGRESSIVE‐RATIO SCHEDULES

This experiment examined the relationship between reinforcer magnitude and quantitative measures of performance on progressive‐ratio schedules. Fifteen rats were trained under a progressive‐ratio schedule in seven phases of the experiment in which the volume of a 0.6‐M sucrose solution reinforcer was varied within the range 6–300 μl. Overall response rates in successive ratios conformed to a bitonic equation derived from Killeen's (1994) Mathematical Principles of Reinforcement. The “specific activation” parameter, a, which is presumed to reflect the incentive value of the reinforcer, was a monotonically increasing function of reinforcer volume; the “response time” parameter, δ, which defines the minimum response time, increased as a function of reinforcer volume; the “currency” parameter, b, which is presumed to reflect the coupling of responses to the reinforcer, declined as a function of volume. Running response rate (response rate calculated after exclusion of the postreinforcement pause) decayed monotonically as a function of ratio size; the index of curvature of this function increased as a function of reinforcer volume. Postreinforcement pause increased as a function of ratio size. Estimates of a derived from overall response rates and postreinforcement pauses showed a modest positive correlation across conditions and between animals. Implications of the results for the quantification of reinforcer value and for the use of progressive‐ratio schedules in behavioral neuroscience are discussed.     

On the sampling theory roundations of item response theory models

Item response theory (IT) models are now in common use for the analysis of dichotomous item responses. This paper examines the sampling theory foundations for statistical inference in these models. The discussion includes: some history on the stochastic subject versus the random sampling interpretations of the probability in IRT models; the relationship between three versions of maximum likelihood estimation for IRT models; estimating versus estimating -predictors; IRT models and loglinear models; the identifiability of IRT models; and the role of robustness and Bayesian statistics from the sampling theory perspective.A presidential address can serve many different functions. This one is a report of investigations I started at least ten years ago to understand what IRT was all about. It is a decidedly one-sided view, but I hope it stimulates controversy and further research. I have profited from discussions of this material with many people including: Brian Junker, Charles Lewis, Nicholas Longford, Robert Mislevy, Ivo Molenaar, Donald Rock, Donald Rubin, Lynne Steinberg, Martha Stocking, William Stout, Dorothy Thayer, David Thissen, Wim van der Linden, Howard Wainer, and Marilyn Wingersky. Of course, none of them is responsible for any errors or misstatements in this paper. The research was supported in part by the Cognitive Science Program, Office of Naval Research under Contract No. Nooo14-87-K-0730 and by the Program Statistics Research Project of Educational Testing Service.     

Continuous and discrete latent structure models for item response data

Relations are examined between latent trait and latent class models for item response data. Conditions are given for the two-latent class and two-parameter normal ogive models to agree, and relations between their item parameters are presented. Generalizationss are then made to continuous models with more than one latent trait and discrete models with more than two latent classes, and methods are presented for relating latent class models to factor models for dichotomized variables. Results are illustrated using data from the Law School Admission Test, previously analyzed by several authors.     

一般自我效能感量表的信度和效度研究

由Schwarzer等人编制的一般自我效能感量表(GSES)目前在国际上广泛使用,本研究拟对中文版GSES的信度和效度进行研究.412名大学生接受了GSES的测试.结果表明①和其他文字版本的GSES一样,中文版GSES也具有较高的信度;②中文版GSES的单维度性得到了证实,印证了Schwarzer等人的有关发现;③中文版GSES具有很好的预测效度.     

错误相关负波（ERN）在精神病理学研究中的应用

错误相关负波（error-related negativity, ERN）是由行为错误诱发的一种脑电波成分,最大峰值在错误反应之后的50ms左右,偶极子源定位于前扣带回（anterior cingulate cortex, ACC）附近。错误加工（error processing）的经典研究范式中出现的ERN成分可能反映了ACC具有错误检测、冲突监控、强化学习、情绪动机等功能。大量研究表明过度的和不足的错误相关脑活动（hyperactive and hypoactive error processing）可能分别与精神病理学的内化性和外化性障碍（internalizing and externalizing disorders）相关联。内化性和外化性障碍的内表型（endophenotype）的研究,还存在许多值得进一步探索的问题。     

Affective atmospheres of weapons technologies: The case of battle drones,combat fighters and bodies in contemporary German geopolitics

Using the example of the defense and security sector at the Innovation and Leadership in Aerospace aviation fair in Berlin, this paper interrogates how the presentation of weapons technologies at German security and aviation fairs produces a/effects that influence the body and serve to legitimize political decisions. It examines to what extent the body becomes the site of geopolitical negotiation via affective atmospheres and how different scales interact within this process. First, I argue that affective connections between weapons technologies and spectators are essential for legitimizing warfare technologies. Second, I argue that affects of weapons technologies are subject to ambivalence and ambiguity, and that they are to be understood as entangled with other affects in the same body. Third, I argue that affects become effective across material and spatial scales. Drawing on geographic work on affective atmospheres, debates in intimate geopolitics and feminist science and technology studies, the paper contributes to critical geopolitics by unpacking the role of affective dimensions in naturalizing the development and acquisition of weapons technologies. In doing so, it also contributes to debates on the methodological operationalization of theories of affect and to emotional geographies of (in)security.     

工作记忆负荷对反馈加工过程的影响:来自脑电研究的证据

个体对行为后反馈结果的加工在学习和环境适应方面有重要意义,工作记忆负荷(working memory load,WM load)如何影响反馈加工过程尚不清楚。采用双任务范式,设置基线、低WM load、高WM load三种条件,结合ERP技术对这一问题进行探究。发现RewP (reward positivity,奖赏正波)对效价敏感,而不受WM load条件影响;Theta震荡的正、负反馈差异波在高WMload条件下比在低WM load条件下小。结果支持等级强化学习-前扣带回理论(HRL-ACC, hierarchical reinforcement learning theory of anterior cingulate cortex)对于RewP和theta震荡的观点:RewP反映了反馈效价评估功能, theta震荡反映了认知控制功能,并且WM load选择性影响了ACC的认知控制功能而不是反馈效价评估功能。     

前、后注意网络的关系--返回抑制和Stroop干扰效应

将IOR范式与Stroop任务相结合,试图从探讨IOR与Stroop干扰效应之间的关系来推测AAN和PAN之间的关系以及IOR与注意之间的关系。结果表明,在控制条件下出现了显著的IOR,在Stroop条件下没有出现明显的IOR;提示和非提示位置上均出现了显著的Stroop干扰效应,但提示位置上的干扰量要显著低于非提示位置。从IOR和Stroop干扰效应之间的关系可推知,PAN和AAN是两个有交互影响的注意网络,AAN对PAN有压制作用,而PAN对。AAN也有一定的影响。最后,作者对返回抑制与注意问的关系进行了深入的讨论。