‘Thank God I’m not a Jungian’

This article focuses less on the content of Jung's ideas than on ways in which they act as both invitation and challenge to engage with psyche. It explores the mythic framework of Jung's approach and how this can enable individuals to live in psychological and mundane worlds in which there can be no final certainties. It elaborates three particular aspects of Jung's thinking that I have found personally valuable: his generosity of vision, his insistence that individuals engage for and with themselves rather than relying on someone else's ideas, and his ponderings on the relationship between the individual and the collective. All three aspects seem to be important elements of the work of individuation.     

对不公正历史事件的情绪反应—— 群体内疚

只要个体把自己归于施害群体, 并且承认所属群体对不道德的行为负有责任, 而无需自己参与其中, 就会体验到群体内疚, 它是一种自我聚焦的情绪。内群体责任、伤害行为的正当化、知觉到的补偿困难等认知因素都会影响群体内疚程度, 而个体的优先价值观和国家认同等会造成成员间群体内疚体验的个体差异。群体内疚的体验会促进施害群体对受害群体的道歉和补偿支持。将来伤害行为的群体内疚, 以及与其他情绪的综合考察方面还需要进一步研究。     

Group Identity and Conflicting Expectations of the Future in Northern Ireland

Much of the conflict in Northern Ireland is based on investments in one of three opposing political futures possible for the region: remaining part of Britain, joining Ireland, or becoming independent. Speculative scenarios describing each of these futures were randomly assigned to equal numbers of Protestant and Catholic undergraduates in Northern Ireland, and their expectations regarding material and civic improvement for their ingroup and peace and reconciliation between the groups were assessed. Two dimensions of religious identity, measured by the Identity and Public subscales of Luhtanen and Crocker's (1992) Collective Self-Esteem Scale (CSES), moderated the differences between groups, but only for their expectations of peace and reconciliation. Stronger expectations of improvement for the ingroup were related to higher scores on the Public subscale, regardless of religion or the political future presented. Thus, group identity had a complex, context-dependent relationship to intergroup conflict.     

Collective Identities of Class and Gender: Working-Class Women in the Pittston Coal Strike

This article investigates the intersections and tensions between two collective identities, those of class and gender, for working-class women involved in supporting the 1989–1990 strike against Pittston Coal Group in southwestern Virginia. In the case of this year-long (and ultimately successful) strike, women were organized by United Mine Workers of America (UMWA) staff in strike support activities, but they also sought to organize themselves as women. The tensions between their identity as members of the working class and their identity as women are revealed by examining their forms of activism, their relationship with the UMWA, the divisions between groups of activist women, and the articulation of women's involvement in the strike. The experiences of these women are briefly compared with women's activism in the 1984–1985 British Coal strike. The article concludes by arguing that collective identity is best understood as it emerges in response to specific contexts.     

Optimal scaling of paired comparison and rank order data: An alternative to guttman's formulation

A formulation, which is different from Guttman's is presented. The two formulations are both called the optimal scaling approach, and are proven to provide identical scale values. The proposed formulation has at least two advantages over Guttman's. Namely, (i) the former serves to clarify close relations of the optimal scaling approach to those of Slater and the vector model of preferential choice, and (ii) in addition to the stimulus scale values, it provides scores for the subjects, which indicate the degrees of response consistency (transitivity), relative to the optimum solution. The method is assumption-free and capable of multidimensional analysis.This study was partly supported by the National Research Council Grant (No. A4581) to S. Nishisato. The author is indebted to Dr. Bert F. Green, Jr., Mr. Tomoichi Ishizuka, and anonymous reviewers for their valuable comments on an earlier draft.     

A lower bound to the probability of choosing the optimal passing score for a mastery test when there is an external criterion

Recently there has been interest in the problem of determining an optimal passing score for a mastery test when the purpose of the test is to predict success or failure on an external criterion. For the case of constant losses for the two error types, a method of determining an optimal passing score is readily derived using standard techniques. The purpose of this note is to describe a lower bound to the probability of identifying an optimal passing score based on a random sample ofN examinees.The work upon which this publication is based was performed pursuant to a grant [contract] with the National Institute of Education, Department of Health, Education and Welfare. Points of view or opinions stated do not necessarily represent official NIE position or policy.     

Paired comparison,triple comparison,and ranking experiments as generalized linear models,and their implementation on GLIM

A wide variety of paired comparison, triple comparison, and ranking experiments may be viewed as generalized linear models. These include paired comparison models based on both the Bradley-Terry and Thurstone-Mosteller approaches, as well as extensions of these models that allow for ties, order of presentation effects, and the presence of covariates. Moreover, the triple comparison model of Pendergrass and Bradley, as well as models for complete rankings of more than three items, can also be represented as generalized linear models. All such models can be easily fit by maximum likelihood, using the widely available GLIM computer package. Additionally, GLIM enables the computation of likelihood ratio statistics for testing many hypotheses of interest. Examples are presented that cover a variety of cases, along with their implementation on GLIM.     

Collective Narcissism as a Basis for Nationalism

Recent work suggests that collective narcissism—an exaggerated, unrealistic belief in an ingroup's greatness that demands constant external validation—is a strong predictor of a variety of political attitudes. In the present study, we use nationally representative panel data from Poland to examine the relationship between national collective narcissism and nationalism, a belief that the national ingroup is superior and should dominate other nations. We first demonstrate that national collective narcissism, nationalism, and mere satisfaction with national ingroup are distinct. In turn, in both cross-sectional and panel analyses, we find that (1) national collective narcissism is positively related to nationalism, whereas satisfaction with the national ingroup is not; and (2) national collective narcissism is a stronger predictor of nationalism than national ingroup satisfaction is in absolute terms. Our analyses thus provide evidence that nationalism may be rooted in narcissistic exaggeration of the greatness of the national ingroup rather than nonnarcissistic national ingroup satisfaction.     

Core social motives explain responses to collective action issues

Managing collective action issues such as pandemics and climate change requires major social and behavioral change. Dominant approaches to addressing these issues center around information provision and financial incentives to shift behavior, yet, these approaches are rarely effective without integrating insights from psychological research on motivation. By accurately characterizing human motives, social scientists can identify when and why individuals engage, and facilitate behavior change and public engagement. Here, we use the core social motives model to sort social psychological theories into five fundamental social motives: to Belong, Understand, Control, self-Enhance, and Trust. We explain how each motive can improve or worsen collective action issues, and how this framework can be further developed towards a comprehensive social psychological perspective to collective action issues.     

A multistage ranking model

In this paper, we propose a (n–1)² parameter, multistage ranking model, which represents a generalization of Luce's model. We propose then×n item-rank relative frequency matrix (p-matrix) as a device for summarizing a set of rankings. As an alternative to the traditional maximum likelihood estimation, for the proposed model we suggest a method which estimates the parameters from thep-matrix. An illustrative numerical example is given. The proposed model and its differences from Luce's model are briefly discussed. We also show some specialp-matrix patterns possessed by the Thurstonian models and distance-based models.