Rips的“证明心理学理论”述评

该文对Rips提出的“证明心理学理论”做了综合述评。这一理论主要包含三方面的内容:对推理过程与人类记忆相互关系的解释;(2)根据逻辑学中的“自然推理规则”进行修正后用于解释人类推理过程的推理规则;(3)关于如何控制推理过程的论述。Rips认为他于1983年设计并实施的以“自然推理系统”所含各推理规则为实验材料的实验结果支持该理论的基本观点。     

Fostering a “Group Ethos”: Truth or Dare!

A group ethos permeates the two Special Issues of Group dedicated to the future of group psychotherapy in the 21st century. This ethos is elaborated through a parable, an integration of authors' conclusions, and a brief exploration of the myths and basic assumptions about group leadership and followership that characterized the 20th century. A new basic assumption is proposed for the 21st. BaC suggests that members are drawn to groups for the unconscious collaboration necessary to discover something between them, as yet untold—something that may hold the key to their own fates and to the human condition.     

Tableau reductions: Towards an optimal decision procedure for the modal necessity

We present a new prefixed tableau system $\mathsf{TK}$ for verification of validity in modal logic $\mathsf{K}$. The system $\mathsf{TK}$ is deterministic, it uniquely generates exactly one proof tree for each clausal representation of formulas, and, moreover, it uses some syntactic reductions of prefixes. $\mathsf{TK}$ is defined in the original methodology of tableau systems, without any external technique such as backtracking, backjumping, etc. Since all the necessary bookkeeping is built into the rules, the system is not only a basis for a validity algorithm, but is itself a decision procedure. We present also a deterministic tableau decision procedure which is an extension of $\mathsf{TK}$ and can be used for the global assumptions problem.     

Managers' Implicit Assumptions About Personnel

ABSTRACT— Effective managers recognize both positive and negative changes in employee performance and take appropriate remedial action when required. Managers' assumptions about the rigidity or malleability of personal attributes (e.g., ability and personality) affect their performance of these critical personnel management tasks. To the extent that managers assume that personal attributes are fixed traits that are largely stable over time, they tend to inadequately recognize actual changes in employee performance and are disinclined to coach employees regarding how to improve their performance. However, a growth-mindset intervention can lead managers to relinquish their fixed mindset and subsequently provide more accurate performance appraisals and helpful employee coaching. Implications for performance evaluation procedures and avenues for future research are outlined.     

Trust and the collection,selection, analysis and interpretation of data: A scientist’s view

Trust is a critical component of research: trust in the work of co-workers and colleagues within the scientific community; trust in the work of research scientists by the non-research community. A wide range of factors, including internally and externally generated pressures and practical and personal limitations, affect the research process. The extent to which these factors are understood and appreciated influence the development of trust in scientific research findings.     

Traiter ses données proprement : vers un meilleur usage du data cleaning

Data cleaning has long been shown to be an essential step in data analysis but its application is not systematic and varies between researchers. The aim of the present article is to study the effect of the different elements of data cleaning and to give recommendations. The steps considered are normality, outliers and missing values. Firstly, we advise a close examination of the data and its normality with a view to transformation. Secondly, we look at outliers and their treatment (trimming and winsorizing). Lastly, we turn our attention to missing values and how to deal with them depending on their randomness. We also cover the importance of visualizing data before analysis. Finally, we illustrate the effect of these data cleaning practices on a real data set. We show that data cleaning can lead to a significant result becoming non-significant and therefore demonstrate the importance of these steps before starting data analysis.