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.     

Movement Speed and Accuracy in Space and Time: The Complementarity of Error Distributions

Movement speed-accuracy trade-off is a function of the space-time constraints of the task. We investigated the space-time account of Hancock and Newell (1985) and the hypothesis of complementarity between the four moments of the error distribution in space and time. Twelve participants performed 15 conditions in a line drawing task composed of different spatial (10, 20, and 30 cm) and temporal (250 to 2,500 ms) criteria. The results showed that all moments of distributions changed systematically between conditions but there were some departures from the Hancock and Newell predictions. In contrast, individual analysis revealed the complementarity of the spatial and temporal error including a trade-off between the four moments of error. These findings support a complementary space-time account of movement speed and accuracy.     

Attachment Change in Emotionally Focused Couple Therapy and Sexual Satisfaction Outcomes in a Two-year Follow-up Study

Emotionally focused couple therapy (EFT) is an empirically validated attachment based approach to couple therapy. From an EFT perspective, sexual functioning is viewed within the context of an attachment bond, but sexual satisfaction in EFT has not been empirically tested. We examined self-reported sexual satisfaction across 24?months in a sample of 32 couples who received an average of 21 EFT sessions. We found that sexual satisfaction increased across six time points from pre to post therapy and across follow-up (6, 12, 18, and 24?months), and that decreases in attachment avoidance from pre to post therapy predicted increases in sexual satisfaction across time. These findings provide evidence that EFT may help couples improve their sexual satisfaction by reducing attachment avoidance in therapy.     

Perceived control effects on religiosity and quality of life among young adults

The study investigated the mediating role of perceived control in the association between religiosity and quality of life among young adults in south-west Nigeria. Data were collected from a sample of 1 050 young adults (mean age = 29.8, SD = 4.61; female = 38.7%). Regression analysis was utilised to predict quality of life from religiosity, partialling out perceived control. Findings suggest internal religiosity to predict an environmental domain of quality of life through perceived control. Perceived constraints appear to explain the association between internal religiosity and the environmental domain of quality of life.     

Uncertainty,Indeterminacy, and Agent-Centred Constraints

Common-sense morality includes various agent-centred constraints, including ones against killing unnecessarily and breaking a promise. However, it's not always clear whether, had an agent ?-ed, she would have violated a constraint. And sometimes the reason for this is not that we lack knowledge of the relevant facts, but that there is no fact about whether her ?-ing would have constituted a constraint-violation. What, then, is a constraint-accepting theory (that is, a theory that includes such constraints) to say about whether it would have been permissible for her to have ?-ed? In this paper, I canvass various possible approaches to answering this question and I argue that teleology offers the most plausible approach—teleology being the view that every act has its deontic status in virtue of how its outcome (or prospect) ranks, relative to those of its alternatives. So although, until recently, it had been thought that only deontological theories can accommodate constraints, it turns out that teleological theories not only can accommodate constraints, but can do so more plausibly than deontological theories can.     

管理评价判断模型与策略获取

管理评价是在不确定情景中的一种多特征决策,非补偿策略是决策者所采用的主导判断模型。作为一种结构建模程序,策略捕捉可以建构包含决策标准及其权重的统计模型,获取决策内在过程和预测判断。多层线性模型能够方便地考察人内和人间变异,表征判断非线性结构,是分析策略捕捉数据的恰当方法。管理评价设计可以借鉴行为经济学和实验经济学的思路,实现对现实管理决策过程的抽象模拟。     

Capturing the interplay among within- and between-person processes using multilevel modeling techniques

Multilevel modeling is an excellent way to analyze nested or clustered data of the type commonly collected through investigations into the linkages between psychological functioning and relationship processes. This article describes two especially relevant applications of multilevel modeling. The first application, growth curve analysis, is already familiar to many researchers and involves modeling individuals’ change trajectories over time and relating the derived change parameters to person-level characteristics or phenomena. The purpose of this paper is to emphasize a second application, multilevel process analysis, which involves modeling within-subject characteristics other than change over a representation of time. Multilevel analysis of within-subject processes is particularly well-suited for hypotheses common to clinical psychology investigations, yet has received substantially less attention in the literature than its growth curve counterpart. Types of research questions and methodologies that can be addressed within the multilevel process analysis framework are described. Finally, aspects of multilevel process analysis are demonstrated with daily diary data collected from wives who reported on their marital happiness and depressed mood for 3 weeks.     

中国消费者价格容忍度的特点

运用多维线性模型,对我国消费者对不同产品价格涨落的容忍态度进行了研究。研究对象为26384名购买过各类产品的消费者。结果表明：（1）消费者对不同产品的价格容忍度不同,对日用消费品的价格容忍度较高,对耐用消费品的价格容忍度相对较低;（2）消费者的年龄和受教育程度对价格容忍度有负向的影响,消费者的年龄和受教育程度越高,对产品的价格容忍度越低;（3）男性消费者的价格容忍度高于女性消费者,女性消费者对价格较为敏感。     

Integrative problem-centered metaframeworks therapy I: core concepts and hypothesizing

Over the last 20 years psychotherapy and family therapy have been inundated with a plethora of empirically validated treatments for particular disorders. That trend will increase. Psychotherapists will increasingly be exhorted and ultimately required to integrate empirical data and multicultural competence into their practice. Additionally, individual psychotherapy's default dominance of psychotherapeutic discourse needs to integrate and come to theoretical and clinical terms with the implications of the growing body of research demonstrating the validity and value of a multisystemic perspective. This article (and its companion article) presents a comprehensive, integrative, multisystemic, and empirically informed psychotherapeutic perspective to help therapists and psychotherapy trainers successfully address these challenges-Integrative Problem Centered Metaframeworks (IPCM) Therapy. This first article presents and illustrates IPCM's theoretical foundation, core concepts, and "case formulating" components. It delineates a Blueprint for the practice and teaching of 21st century psychotherapists who can meld science and art into best practice.