Two Theories of Just War

As it is traditionally conceived, Just War Theory is not well suited for dealing with nation vs non-nation wars. It thus makes sense to create a second Just War Theory to deal with these wars. This article explores the differences and similarities between the two theories.

最大信息量法在CCSPC评分中应用的效度证据

采用基于最大信息量法的多维项目反应理论模型估计计算机模拟心理咨询病例系统（CCSPC）的合成分数及四个模块分数,并收集效标效度证据、成长变化效度证据和内容效度证据,结果表明：五个指标与心理咨询师考试三级技能成绩的相关均达到显著,且高于其与三级理论成绩的相关;所有指标得分均随着心理学学历升高而升高;多数指标分数随心理学本科年级提高而提高;获得心理咨询师资格认证的被试在CCSPC上有更高的得分.     

Examining direct and indirect pathways to health behaviour: The influence of cognitive and affective probability beliefs

This study aimed to extricate the influence of rational (e.g. ‘I think …’) and intuitive (e.g. ‘I feel …’) probability beliefs in the behavioural decision-making process regarding skin cancer prevention practices. Structural equation modelling was used in two longitudinal surveys (sun protection during winter sports [N?=?491]; sun protection during summer [N?=?277]) to examine direct and indirect behavioural effects of affective and cognitive likelihood (i.e. unmediated or mediated by intention), controlled for attitude, social influence and self-efficacy. Affective likelihood was directly related to sun protection in both studies, whereas no direct effects were found for cognitive likelihood. After accounting for past sun protective behaviour, affective likelihood was only directly related to sun protection in Study 1. No support was found for the indirect effects of affective and cognitive likelihood through intention. The findings underscore the importance of feelings of (cancer) risk in the decision-making process and should be acknowledged by health behaviour theories and risk communication practices. Suggestions for future research are discussed.     

A Thurstonian Analysis of Preference Change

This paper presents a Thurstonian model for the analysis of preference change. Preferences are expressed in the form of rankings, possibly with ties. A vector-autoregression framework is used to investigate relationships between past and current rankings. It is shown that this approach yields a parsimonious and easily interpretable representation of individual preference differences in time-dependent ranking data. A detailed analysis of the 1992 National Election Study illustrates the proposed approach.     

The Relationship Between Applicant Reactions, the Likelihood of Complaints, and Organization Attractiveness

This study examined the effect of applicants' reactions to selection measures on complaint intentions and perceptions of organizational attractiveness. Despite recent challenges to selection tests for invasion of privacy, limited research has examined the link between specific reactions and potential legal challenges. As predicted, perceived invasiveness was significantly related to perceived likelihood of complaints for three selection measures. Further, perceived job relatedness was negatively related to likelihood of complaints for a test battery and a math test, but not for an integrity test. On the other hand, neither job relatedness nor invasiveness was significantly related to organizational attractiveness for any of the tests. Limitations and implications for future research are discussed.     

个人目标相关性对非临床抑郁者未来想象的影响

通过两个实验考查了非临床抑郁者未来想象的异常是否受到个人目标相关性的调节。实验1采用未来想象任务, 实验2采用可能性评估范式, 两个实验一致发现, 抑郁倾向者想象未来积极事件的异常, 受到了与个人目标相关性的调节：相对于非抑郁倾向者, 抑郁倾向者对未来与个人目标相关的积极事件的预期减弱, 而对未来与个人目标无关的积极事件的预期则没有表现出异常; 同时还发现, 抑郁倾向者表现出了对未来消极预期的普遍增强, 不受与个人目标相关性的影响。     

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).     

Time-Varying Treatments in Observational Studies: Marginal Structural Models of the Effects of Early Grade Retention on Math Achievement

One of the main objectives of many empirical studies in the social and behavioral sciences is to assess the causal effect of a treatment or intervention on the occurrence of a certain event. The randomized controlled trial is generally considered the gold standard to evaluate such causal effects. However, for ethical or practical reasons, social scientists are often bound to the use of nonexperimental, observational designs. When the treatment and control group are different with regard to variables that are related to the outcome, this may induce the problem of confounding. A variety of statistical techniques, such as regression, matching, and subclassification, is now available and routinely used to adjust for confounding due to measured variables. However, these techniques are not appropriate for dealing with time-varying confounding, which arises in situations where the treatment or intervention can be received at multiple timepoints. In this article, we explain the use of marginal structural models and inverse probability weighting to control for time-varying confounding in observational studies. We illustrate the approach with an empirical example of grade retention effects on mathematics development throughout primary school.     

A caveat on the Savage–Dickey density ratio: The case of computing Bayes factors for regression parameters

The Savage–Dickey density ratio is a simple method for computing the Bayes factor for an equality constraint on one or more parameters of a statistical model. In regression analysis, this includes the important scenario of testing whether one or more of the covariates have an effect on the dependent variable. However, the Savage–Dickey ratio only provides the correct Bayes factor if the prior distribution of the nuisance parameters under the nested model is identical to the conditional prior under the full model given the equality constraint. This condition is violated for multiple regression models with a Jeffreys–Zellner–Siow prior, which is often used as a default prior in psychology. Besides linear regression models, the limitation of the Savage–Dickey ratio is especially relevant when analytical solutions for the Bayes factor are not available. This is the case for generalized linear models, non-linear models, or cognitive process models with regression extensions. As a remedy, the correct Bayes factor can be computed using a generalized version of the Savage–Dickey density ratio.     

The test taker's fallacy: How students guess answers on multiple‐choice tests

Many students and applicants take multiple‐choice tests to demonstrate their competence and achievement. When they are unsure, they guess the most likely answer to maximize their score. Despite the impact of guessing on test reliability and individual performance, studies have not examined how patterns of answer sequences in multiple‐choice tests affect guessing. This research presents the test taker's fallacy, which refers to an individual's tendency to expect a different answer to appear for the next question given a run of the same answer choices. The test taker's fallacy exhibits negative recency, similar to the gambler's fallacy. However, extending the sequential judgment literature, the test taker's fallacy shows that negative recency arises even when sequences may or may not be randomly generated. In three studies, including a survey and experiments, the test taker's fallacy is robustly observed. The test taker's fallacy is consistent with the operation of the representativeness heuristic. This research explains what and how test takers guess given a streak of answers and extends judgment under uncertainty to the test‐taking context.