First demonstration of effective spatial training for near transfer to spatial performance and far transfer to a range of mathematics skills at 8 years

There is evidence that spatial thinking is malleable, and that spatial and mathematical skills are associated (Mix et al. [2016] Journal of Experimental Psychology: General, 145, 1206; Mix et al. [2017] Journal of Cognition and Development, 18, 465; Uttal et al. [2013] Psychological Bulletin, 139, 352). However, few studies have investigated transfer of spatial training gains to mathematics outcomes in children, and no known studies have compared different modes of spatial instruction (explicit vs. implicit instruction). Based on a sample of 250 participants, this study compared the effectiveness of explicit and implicit spatial instruction in eliciting near transfer (to the specific spatial skills trained), intermediate transfer (to untrained spatial skills) and far transfer (to mathematics domains) at age 8. Spatial scaling and mental rotation skills were chosen as training targets as previous studies have found, and proposed explanations for, associations between these skills and mathematics in children of this age (Journal of Experimental Psychology: General, 145, 2016 and 1206). In this study, spatial training led to near, intermediate and far transfer of gains. Mental visualization and proportional reasoning were proposed to explain far transfer from mental rotation and spatial scaling skills respectively. For most outcomes, except for geometry, there was no difference in the effectiveness of implicit (practice with feedback) compared to explicit instruction (instructional videos). From a theoretical perspective, the study identified a specific causal effect of spatial skills on mathematics skills in children. Practically, the results also highlight the potential of instructional videos as a method of introducing spatial thinking into the classroom.     

D-optimal design for the Rasch counts model with multiple binary predictors

In this paper we derive optimal designs for the Rasch Poisson counts model and its extended version of the (generalized) negative binomial counts model incorporating several binary predictors for the difficulty parameter. To efficiently estimate the regression coefficients of the predictors, locally D-optimal designs are developed. After an introduction to the Rasch Poisson counts model and its extension, we will specify these models as particular generalized linear models. Based on this embedding, optimal designs for both models including several binary explanatory variables will be presented. Therefore, we will derive conditions on the effect sizes for certain designs to be locally D-optimal. Finally, it is pointed out that the results derived for the Rasch Poisson models can be applied for more general Poisson regression models which should receive more attention in future psychological research.     

Consensus scoring, correct responses and reliability of the MSCEIT V2

The scoring protocol adopted by the MSCEIT V2 has been criticised since its development. The present study raises questions regarding the value of consensus scoring by analysing responses within the categorical subscales of Changes and Blends using the Optimal Scaling technique within the Categorical Principal Components Analysis (CATPCA) via Statistical Package for the Social Sciences (SPSS), (n = 206). On a number of occasions, there was no clear agreement as to the “correct” response to items within these categorical subscales. Such an issue seems integral to the application of the MSCEIT V2 and one which deserves more attention. On a more positive note, improvements were made to the reliabilities of the subscales of Changes and Blends, using Optimal Scaling, but less so for Changes. Nevertheless, this raises the possibility of improving the reliabilities of other subscales in the MSCEIT V2 and in turn improving the power of subsequent statistical tests.     

Multidimensional Adaptive Testing with Optimal Design Criteria for Item Selection

Several criteria from the optimal design literature are examined for use with item selection in multidimensional adaptive testing. In particular, it is examined what criteria are appropriate for adaptive testing in which all abilities are intentional, some should be considered as a nuisance, or the interest is in the testing of a composite of the abilities. Both the theoretical analyses and the studies of simulated data in this paper suggest that the criteria of A-optimality and D-optimality lead to the most accurate estimates when all abilities are intentional, with the former slightly outperforming the latter. The criterion of E-optimality showed occasional erratic behavior for this case of adaptive testing, and its use is not recommended. If some of the abilities are nuisances, application of the criterion of A _s -optimality (or D _s -optimality), which focuses on the subset of intentional abilities is recommended. For the measurement of a linear combination of abilities, the criterion of c-optimality yielded the best results. The preferences of each of these criteria for items with specific patterns of parameter values was also assessed. It was found that the criteria differed mainly in their preferences of items with different patterns of values for their discrimination parameters. The first author is now at the Department of Methodology and Statistics, Statistics, Faculty of Social Sciences, Utrecht University, Heidelberglaan 1, 3854 Utrecht, The Netherlands. The second author is now at Research Department, CTB/McGraw-Hill, Monterey, CA, USA.     

A convex approach for multicriteria decision making in hierarchical systems

In this paper hierarchical multicriteria optimization problems are addressed in a convex programming framework. It is assumed that the criteria are aggregated into a nonlinear function, which renders the problem nonseparable, in general. The projection of the problem onto the criteria space is used to obtain an equivalent separable problem, solved through a relaxation procedure implemented on basis of a multilevel structure. At the upper level of the structure, the decision making process involves the solution of a multicriteria problem formulated in the criteria space. The solution encountered at the upper level originates a lower level parametric optimization problem with separable structure that can be treated by standard coordination-decomposition techniques. The convergence of the overall procedure is ensured. The paper includes an application of the approach proposed for the control of dynamic systems with linear quadratic structure. © 1998 John Wiley & Sons, Ltd.     

Distinguishing Hope from Optimism and Related Affective States

Three studies examined the conceptual and psychological differences between hope and related mental states. In Study 1, participants provided definitions of hope as well as optimism, want, desire, wish, and the non-anticipatory state of joy; in Study 2, participants wrote about a time when they had experienced each of these states. These definitions and stories were coded for a number of psychological features that were then used to distinguish the different states. Study 3 mapped the differences among the six mental states into a multidimensional conceptual space. Overall, hope is most closely related to wishing but distinct from it. Most important, hope is distinct from optimism by being an emotion, representing more important but less likely outcomes, and by affording less personal control. The importance of combining a folk-conceptual perspective with a more traditional analysis of appraisal for understanding differences among psychological constructs is discussed.     

In- and outgroup representation in a dynamic society: Hong Kong after 1997

Reunification with the People's Republic of China in 1997 draws attention to the identity of Hong Kong people along with their representation and perception of in- and outgroups. We gathered current data on in- and outgroup representations, self-categorizations, and the willingness to assimilate in this dynamic sociocultural environment. A new experimental method was developed to measure the structure and feature dimensions of in- and outgroup representation in 25 university students and 25 employees. Results showed that the structure of mental representations had changed after reunification. Interestingly, significant feature dimension of intergroup perception, such as modernity and Confucian values, proved to be consistent with earlier research. In the present study, it became obvious that such feature dimensions played an important role in discriminating between in- and outgroups.     

A classification of computer security incidents based on reported attack data

Previous studies of computer criminals have attempted to differentiate between offenders, but have not used data from the actual attacks. Drawing on theories from investigative psychology as well as information security, the current study differentiates 2755 computer security incidents using information about Method of Operation (MO), Impact, and Source Sector from reported attacks. Multivariate statistical analyses were applied on the data‐matrix of 22 variables and showed the co‐occurrences of various aspects of computer security incidents. A radex structure emerged where the high frequency variables were positioned in the centre of the data‐plot. Based on a previously developed taxonomy of cyber intrusions, the results of the analysis showed that it was possible to draw inferences about the less informative category of Objective, from information about Attacker, Tools, Access, and Results. By applying the division‐lines indicating the Objectives of Challenge/Status, Destruction, Political Gain and Financial Gain on the SSA‐plot, it was shown how the taxonomies could be further developed by taking into account the relationships between the categories. Copyright © 2005 John Wiley & Sons, Ltd.     

评估职业兴趣的结构

Holland的职业兴趣理论对当今兴趣研究产生了广泛、深远的影响。但是目前,还没有研究考察Holland理论假设在中国的适用性。研究共检验了5个与Holland的6种兴趣类型(RiASEC)有关的假设,其中两个是由本文研究者提出。研究搜集了在中国进行的、与Holland理论有关的研究,并最终选择了9个RIASEC相关矩阵。假定顺序的随机化检验以及方差分析的结果表明,Holland的圆形假设与数据的拟合程度在5个模型中最差;多维标度法结果表明,RIASEC的空间结构图并没有很好地符合Holland的圆形假设。