Prediction and classification in nonlinear data analysis: Something old,something new,something borrowed,something blue

Prediction and classification are two very active areas in modern data analysis. In this paper, prediction with nonlinear optimal scaling transformations of the variables is reviewed, and extended to the use of multiple additive components, much in the spirit of statistical learning techniques that are currently popular, among other areas, in data mining. Also, a classification/clustering method is described that is particularly suitable for analyzing attribute-value data from systems biology (genomics, proteomics, and metabolomics), and which is able to detect groups of objects that have similar values on small subsets of the attributes.This article is based on the Presidential Address Jacqueline Meulman gave on July 9, 2003 at the 68th Annual Meeting of the Psychometric Society held near Cagliari, Italy on the island of Sardinia.—Editor     

The Distance Function in Commutative ℓ-semigroups and the Equivalence in Łukasiewicz Logic

The equivalence connective in ukasiewicz logic has its algebraic counterpart which is the distance function d(x,y) =|x–y| of a positive cone of a commutative -group. We make some observations on logically motivated algebraic structures involving the distance function.     

A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation

The misclassification error distance and the adjusted Rand index are two of the most common criteria used to evaluate the performance of clustering algorithms. This paper provides an in-depth comparison of the two criteria, with the aim of better understand exactly what they measure, their properties and their differences. Starting from their population origins, the investigation includes many data analysis examples and the study of particular cases in great detail. An exhaustive simulation study provides insight into the criteria distributions and reveals some previous misconceptions.     

Visual body-size adaptation and estimation of tactile distance

Estimating the size of bodies is crucial for interactions with physical and social environments. Body-size perception is malleable and can be altered using visual adaptation paradigms. However, it is unclear whether such visual adaptation effects also transfer to other modalities and influence, for example, the perception of tactile distances. In this study, we employed a visual adaptation paradigm. Participants were exposed to images of expanded or contracted versions of self- or other-identity bodies. Before and after this adaptation, they were asked to manipulate the width of body stimuli to appear as ‘normal’ as possible. We replicated an effect of visual adaptation such that the body-size selected as most ‘normal’ was larger after exposure to expanded and thinner after exposure to contracted adaptation stimuli. In contrast, we did not find evidence that this adaptation effect transfers to distance estimates for paired tactile stimuli delivered to the abdomen. A Bayesian analysis showed that our data provide moderate evidence that there is no effect of visual body-size adaptation on the estimation of spatial parameters in a tactile task. This suggests that visual body-size adaptation effects do not transfer to somatosensory body-size representations.     

Together – apart: in touch in a time of separation

This paper explores the experience of working as a Jungian analyst through the various phases of the global COVID-19 pandemic, examining the importance of the physical containing space alongside the analyst’s internal mind and how technology can both help and hinder understanding. A number of clinical vignettes illustrate the challenge of communicating over a distance, paying particular attention to the way countertransference phenomena can become re-attuned. Reference is made to mythology and symbols of hope, and consideration given to the meaning and purpose of the pandemic.     

两种新的多维计算机化分类测验终止规则

计算机化分类测验(Computerized Classification Testing, CCT)由于具备分类的功能, 目前在职业资格考试、健康与护理问卷等以分类为目的的测验中得到广泛应用。作为CCT的重要组成部分, 终止规则不仅决定测验停止的条件而且直接影响分类准确率及测验效率。然而, 目前少有研究对多维CCT (Mulitidimensional CCT, MCCT)的终止规则进行探索。针对已有MCCT终止规则的不足, 提出两种新的MCCT终止规则(即基于马氏距离的多维序贯似然比规则Mahalanobis-SPRT和随机缩减的多维广义似然比规则M-SCGLR), 并开展模拟研究在不同实验条件下(比如, 不同的题库结构、能力维度间相关及分界函数)考查它们的表现。结果表明：(1)在使用补偿性分界函数的条件下, Mahalanobis-SPRT规则具有较高的分类精度和与同类方法相近的测验长度; (2)在几乎所有实验条件下, M-SCGLR规则不仅在测验精度上大幅优于已有的多维随机缩减规则, 而且具有较短的测验长度。     

社会贴现:一种测量利他行为的新任务

社会贴现指的是人际交往过程中利他行为随着个人之间的社会距离增加而逐渐减少的现象。其研究任务首次将社会距离进行了量化,以个体愿意舍弃金额的数量换取他人获得定额的行为作为利他的标准。解释水平理论为社会贴现的内涵提供了理论基础,并解释了其内部机制。未来研究可以从自我结构的角度对社会贴现进行解释,也可以尝试使用社会支持相关的指标代替金钱,以避免金钱概念的启动所导致个体偏向自私的结论。     

Non‐adjacent Dependencies Processing in Human and Non‐human Primates

Human and non‐human primates share the ability to extract adjacent dependencies and, under certain conditions, non‐adjacent dependencies (i.e., predictive relationships between elements that are separated by one or several intervening elements in a sequence). In this study, we explore the online extraction dynamics of non‐adjacent dependencies in humans and baboons using a serial reaction time task. Participants had to produce three‐target sequences containing deterministic relationships between the first and last target locations. In Experiment 1, participants from the two species could extract these non‐adjacent dependencies, but humans required less exposure than baboons. In Experiment 2, the data show for the first time in a non‐human primate species the successful generalization of sequential non‐adjacent dependencies over novel intervening items. These findings provide new evidence to further constrain current theories about the nature and the evolutionary origins of the learning mechanisms allowing the extraction of non‐adjacent dependencies.     

Temporal focus,temporal distance,and mind-wandering valence: Results from an experience sampling and an experimental study

When mind-wandering, people may think about events that happened in the past, or events that may happen in the future. Using experience sampling, we first aimed to replicate the finding that future-oriented thoughts show a greater positivity bias than past-oriented thoughts. Furthermore, we investigated whether there is a relation between the temporal distance of past- and future-oriented thoughts and the frequency of positive thoughts, a factor that has received little attention in previous work. Second, we experimentally investigated the relation between temporal focus, temporal distance, and thought valence. Both studies showed that future-oriented thoughts were more positive compared to past-oriented thoughts. Regarding temporal distance, thoughts about the distant past and future were more positive than thoughts about the near past and future in the experiment. However, the experience sampling study did not provide clear insight into this relation. Potential theoretical and methodological explanations for these findings are discussed.