The Evolution of a Pauline Toxic Text

The earliest followers of Jesus authored their identity narrative within the metanarrative of Jewish faith, thereby creating a new Jewish-Jesus sect. The Christian identity narrative arose as a new story and could not call upon either a Jewish or a Pagan metanarrative for its justification. It was a new creation inspired by the Spirit and authored by Paul. With his guidance, the Pagan followers of Jesus, Christians, articulated their personal and communal experiences of empowerment by the Spirit in a new identity narrative that would in time establish itself as the dominant metanarrative for Western civilization. Members of the Jewish-Jesus community in Jerusalem immediately denied the validity of the Christian narratives. They sought to subjugate the new story to their official and dominant story: that one had to be Jewish in order to follow Jesus. Paul urges the Christians to remain faithful to their personal stories of empowerment by the Spirit. Unfortunately, he also resorts to the use of toxic texts to disenfranchise his Jewish opponents.     

Social evaluation research: the evaluation of two police patrolling strategies

In most social evaluation research it is difficult to achieve the degree of experimental rigor possible in an applied behavioral study. This study illustrates how the evaluation researcher can increase experimental rigor in the analysis of social interventions. In the first evaluation, a variation of the time-series design that offered maximum experimental control given the limitations of the situation, was employed to evaluate the effects of a specialized home-burglary police patrol. This design revealed that no effects could be attributed to the patrol. In the second evaluation, a multiple baseline-like design was possible in determining the effects of a police walking patrol. This design revealed that the patrol produced an increase in crime reporting but not in arrests. Social interventions often occur in a manner that allows varying degrees of experimental analysis. The evaluation researcher must attain optimal experimental analysis given the limitations of each social intervention.     

Evaluation of multiple schedules with naturally occurring and therapist‐arranged discriminative stimuli following functional communication training

Many studies have shown that (a) functional communication training (FCT) is effective for reducing problem behavior, and (b) multiple schedules can facilitate reinforcer schedule thinning during FCT. Most studies tha have used multiple schedules with FCT have included therapist‐arranged stimuli (e.g., colored cards) as the discriminative stimuli (S^Ds), but recently, researchers have evaluated similar multiple‐schedule training procedures with naturally occurring S^Ds (e.g., overt therapist behavior). The purposes of the current study were to compare the effects of arranged and naturally occurring S^Ds directly during (a) acquisition of discriminated functional communication responses (FCRs) and (b) generalization of discriminated FCRs when we introduced the multiple schedules in novel contexts in which the naturally occurring stimuli were either relatively easy or difficult to discriminate. Results showed that (a) 2 of 3 participants acquired discriminated responding of the FCR more rapidly with arranged than with naturally occurring stimuli, (b) 2 of 3 participants showed resurgence of problem behavior , and (c) 2 of 3 participants showed greater generalization of discriminated responding to novel contexts with arranged stimuli than with naturally occurring stimuli. We discuss these results relative to the conditions under which naturally occurring and arranged S^Ds may promote rapid and generalized treatment gains.     

Dealing with Multiple Solutions in Structural Vector Autoregressive Models

Structural vector autoregressive models (VARs) hold great potential for psychological science, particularly for time series data analysis. They capture the magnitude, direction of influence, and temporal (lagged and contemporaneous) nature of relations among variables. Unified structural equation modeling (uSEM) is an optimal structural VAR instantiation, according to large-scale simulation studies, and it is implemented within an SEM framework. However, little is known about the uniqueness of uSEM results. Thus, the goal of this study was to investigate whether multiple solutions result from uSEM analysis and, if so, to demonstrate ways to select an optimal solution. This was accomplished with two simulated data sets, an empirical data set concerning children's dyadic play, and modifications to the group iterative multiple model estimation (GIMME) program, which implements uSEMs with group- and individual-level relations in a data-driven manner. Results revealed multiple solutions when there were large contemporaneous relations among variables. Results also verified several ways to select the correct solution when the complete solution set was generated, such as the use of cross-validation, maximum standardized residuals, and information criteria. This work has immediate and direct implications for the analysis of time series data and for the inferences drawn from those data concerning human behavior.     

Does It Matter Whether One Takes a Test on an iPad or a Desktop Computer?

To investigate possible iPad related mode effect, we tested 403 8th graders in Indiana, Maryland, and New Jersey under three mode conditions through random assignment: a desktop computer, an iPad alone, and an iPad with an external keyboard. All students had used an iPad or computer for six months or longer. The 2-hour test included reading, math, and writing items adapted from released NAEP 8th grade tests. Overall, no significant difference was found on the reading, math, or writing section scores or section response time among the three mode conditions. Further, roughly comparable numbers of students reportedly favored testing using an iPad or a desktop computer, but using a preferred mode did not lead to significantly higher section scores. These findings suggest that there is no noticeable disadvantage associated with taking a test on an iPad than on a desktop computer for experienced users of these two studied devices.     

多特征决策策略的信息搜索模式分析

决策策略的使用是不可见的内在过程 ,有效识别出决策者在信息整合时使用的策略对研究策略学习与转换、决策辅助与训练有重要意义。本文介绍了用过程追踪技术获取的信息搜索模式识别多特征决策策略的方法 ,即单步与多步跳转分析 ,并比较了两种方法的应用效果 ,讨论了跳转分析法的优点和局限。     

Fourier‐Motzkin elimination method in MOLP problems

This paper introduces a method for finding the non‐dominated set in criterion space of an MOLP problem based on Fourier–Motzkin Elimination. The method incorporates a procedure that eliminates decision variables from constraints and transforms a feasible region from decision space to criterion space. While avoiding characterization of the efficient set in decision space, it finds the non‐dominated set in criterion space. After the decision maker's most preferred criterion vector has been identified, the corresponding efficient solutions can be found by backward substitution. The method was implemented in MATLAB using a tabular form and computational experiments were conducted. The results indicate that although the method performs well for relatively small problems, it can be computationally intensive for larger problems. Nonetheless, the method is intuitively appealing and it provides useful insights into the geometry and theory of MOLP. As such it makes it a valuable educational tool for students of multi‐criteria decision analysis. Copyright © 2003 John Wiley & Sons, Ltd.     

A multiple-criteria decision-making approach for the evaluation of retail location

This study proposes an ANP-based evaluation of retail locations. Authors acted as decision analysts and interacted with professionals in Turkish apparel retailing sector for acquiring their knowledge and expertise. As a result, evaluation criteria of the study were identified. These criteria are clustered into five groups: store, other retailers, shopping centre/business district, accessibility, and environmental. The relationship among criteria were assessed and a network was formed. ANP approach was then utilized in order to evaluate possible retail locations for the apparel stores. Besides global preferences of these alternatives, relative importance of the criteria was also revealed. Copyright © 2007 John Wiley & Sons, Ltd.