近十年国外罗夏测验攻击变量研究综述

用罗夏测验测量攻击有助于了解个体的攻击性冲动 ,也有助于外显攻击行为的预测和控制。近十年国外文献中有关研究者主要有Holt、Exner、Gacono和Meloy。综述结果表明 ,他们提出的大多数攻击变量都有明确的定义 ,其实证研究也获得了一些支持。但也可以看到 ,目前的研究依然存在不少问题 :(1 )变量的定义有重复、内容有交叉 ;(2 )变量的分类标准不唯一 ;(3 )某些变量的使用和操作欠方便。因而 ,这些变量的定义、分类和使用都还有待于进一步研究支持。     

Evidence for spontaneous level-2 perspective taking in adults

Social interactions are fostered by humans’ propensity to compute their partner’s perspective online. However, due to the mindreading system’s limited capacity perspective taking (PT) was argued to occur spontaneously only for level-1, but not level-2 perspectives. We propose that level-2 perspectives (containing aspectual information) can also be computed spontaneously if participants have reason to assume that the partner is indeed aware of the objects’ aspectual properties. Pairs of adult participants took part in the modified version of Surtees, Butterfill, and Apperly’s (2012) number verification paradigm. Participants had prior information on their partner’s task, which either called for processing aspectual properties or did not. The partner’s inconsistent perspective was found to interfere with RT-s providing evidence for spontaneous level-2 PT. However, such interference only occurred when the partner’s task involved processing the perspective dependent object feature, suggesting that PT was sensitive to the other’s awareness of the to be represented information.     

Examining arguments against quantitative research: “Case studies” illustrating the challenge of finding a sound philosophical basis for a human sciences approach to psychology

This article offers a close examination of critiques of quantitative research by Michell, 2011, Marecek, 2011, and Morawski (2011). One goal is to show that these three critics actually share with most mainstream quantitative researchers commitments to the Cartesian framework, even though this is not obvious because Cartesianism can appear in different guises. As a result of these commitments, the three theorists advance criticisms of mainstream quantitative research that fail to identify its key failings, put forward flawed views about how we should conduct research, and offer misguided criticisms of an approach I advocate called explicitly interpretive quantitative research. Another goal is to use the examination of the three critiques as a vehicle for clarifying the participatory perspective, a philosophical viewpoint that departs from the Cartesian framework. With regard to research methodology, the participatory perspective provides the basis for explicitly interpretive quantitative research, leads to ideas about changes we should make in how we conduct qualitative research, and treats quantitative and qualitative research as fundamentally similar because both should be pursued as interpretive modes of inquiry. I suggest that my analyses of the three critiques of quantitative research – or “case studies,” as I call these analyses – also may prove useful to researchers and theorists who want to develop a human sciences approach to other issues besides research methodology by helping them (1) recognize when lines of thinking that seem to depart from the mainstream actually represent variants of Cartesianism, and (2) consider what the participatory perspective might have to offer if they were to use it as the philosophical basis for their efforts.     

Why is support for Jamesian actual–ideal discrepancy model so elusive? A latent-variable approach

We investigate the Actual–Ideal Discrepancy (AID) model of self-esteem determination dating back to James (1890/1963). Although intuitively appealing, this model received weak support from rigorous empirical research. We propose a multiple-item latent difference approach to AID as applied to a range of self-concept domains and sub-domains in young adolescents from two different countries (UK: N = 402; Italy: N = 250). The effects of the AID remained elusive for most domains and sub-domains; indeed, the effects of the specific AIDs were generally trivial and only appearance-AID became significant in the combined sample. Also AIDs did not substantially explain the more general self-concepts beyond what was explained by the actual domains. Even if they had been significant, AID effects would have been, at best, trivially small and detectable only using appropriate latent-variable methodologies coupled with large sample sizes; thus undermining the psychological meaning of the AID model.     

Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses

Rationale and the actual procedures of two nonparametric approaches, called Bivariate P.D.F. Approach and Conditional P.D.F. Approach, for estimating the operating characteristic of a discrete item response, or the conditional probability, given latent trait, that the examinee's response be that specific response, are introduced and discussed. These methods are featured by the facts that: (a) estimation is made without assuming any mathematical forms, and (b) it is based upon a relatively small sample of several hundred to a few thousand examinees.Some examples of the results obtained by the Simple Sum Procedure and the Differential Weight Procedure of the Conditional P.D.F. Approach are given, using simulated data. The usefulness of these nonparametric methods is also discussed.This research was mostly supported by the Office of Naval Research (N00014-77-C-0360, N00014-81-C-0569, N00014-87-K-0320, N00014-90-J-1456).     

Concurrent second-order schedules of reinforcement

Responses on one key (the main key) of a two-key chamber produced food according to a second-order variable-interval schedule with fixed-interval schedule components. A response on a second key (the changeover key) alternated colors on the main key and provided a second independent second-order variable-interval schedule with fixed-interval components. The fixed-interval component on one variable-interval schedule was held constant at 8 sec, while the fixed interval on the other variable-interval schedule was varied from 0 to 32 sec. Under some conditions, a brief stimulus terminated each fixed interval and generated fixed-interval patterns; in other conditions, the brief stimulus was omitted. Relative response rate and relative time deviated substantially from scheduled relative reinforcement rate and, to a lesser extent, from obtained relative reinforcement rate under both brief-stimulus and no-stimulus conditions. Matching was observed with equal components on both schedules; with unequal components, increasingly greater proportions of time and responses than the matching relation would predict were spent on the variable-interval schedule containing the shorter component. Preference for the shorter fixed interval was typically more extreme under brief-stimulus than under no-stimulus schedules. The results limit the extension of the matching relation typically observed under simple concurrent variable-interval schedules to concurrent second-order variable-interval schedules.     

Working in the borderland: early relational trauma and Fordham's analysis of ‘K’

This paper outlines a view of early relational trauma as underlying borderline states of mind, and argues that Knox's 1999 paper on internal working models and the complex provides a basis for understanding such states of mind. The author argues that in addition to internal working models, the complex also embodies and contains primitive defences of the core self. He outlines how these apply on the objective, subjective, transference and archetypal levels, and in direct and reversed forms and applies this to the account of Fordham's analysis of his patient ‘K’, which ended in impasse. The paper explores the dynamic that emerged in that analysis and suggests that it could be helpfully accounted for in terms of the co‐construction and re‐construction of early relational trauma in the analytic relationship.     

Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results?

Regression mixture models are increasingly used as an exploratory approach to identify heterogeneity in the effects of a predictor on an outcome. In this simulation study, we tested the effects of violating an implicit assumption often made in these models; that is, independent variables in the model are not directly related to latent classes. Results indicate that the major risk of failing to model the relationship between predictor and latent class was an increase in the probability of selecting additional latent classes and biased class proportions. In addition, we tested whether regression mixture models can detect a piecewise relationship between a predictor and outcome. Results suggest that these models are able to detect piecewise relations but only when the relationship between the latent class and the predictor is included in model estimation. We illustrate the implications of making this assumption through a reanalysis of applied data examining heterogeneity in the effects of family resources on academic achievement. We compare previous results (which assumed no relation between independent variables and latent class) to the model where this assumption is lifted. Implications and analytic suggestions for conducting regression mixture based on these findings are noted.