Consumer decisions in relationships

Most research on consumer choice assumes that decisions are usually made by individuals, and that these decisions are based on an individual's personal attitudes, beliefs, and preferences. Yet, much consumer behavior—from joint decisions to individual choices—is directly or indirectly shaped by people with whom we have some relationship. In this target article, we examine how each member in a relationship can affect how consumer decisions are made. After reviewing foundational work in the area, we introduce a powerful and statistically sophisticated methodology to study decisions within relationships—a dyadic framework of decision-making. We then discuss how the study of consumer decisions in relationships can be informed by different theories in the relationships field, including attachment, interdependence, social power, communal/exchange orientations, relationship norms, and evolutionary principles. By building on the seminal foundations of prior joint-decision making research with theories and methods from contemporary relationship science, we hope to facilitate the integration of the consumer and relationships literature to better understand and generate novel hypotheses about consumer decisions in relationships.     

Using a Training-of-Trainers Approach and Proactive Technical Assistance to Bring Evidence Based Programs to Scale: An Operationalization of the Interactive Systems Framework’s Support System

Bringing evidence based programs to scale was a major initial impetus for the development of the Interactive Systems Framework for Dissemination and Implementation (ISF). The ISF demonstrates the importance of the Support System in facilitating the uptake of innovations in the community (the Delivery System). Two strategies that members of the Support System commonly use are training‐of‐trainers (TOT) models and technical assistance (TA). In this article, we focus on the role of the Support System in bringing evidence‐based programs (EBPs) to scale in the Delivery System using a case example, with special attention on two strategies employed by Support Systems—training‐of‐trainers (TOT) and proactive technical assistance. We then report on findings from a case example from the Promoting Science Based Approaches to Teen Pregnancy Prevention project that furthers our conceptualization of these strategies and the evidence base for them. We also report on the limitations in the literature regarding research on TOTs and proactive TA and provide suggestions for future research on TOTs and proactive TA that will enhance the science and practice of support in the ISF. Special Issue: Advances in Bridging Research and Practice Using the Interactive System Framework for Dissemination and Implementation; Guest Editors: Abraham Wandersman, Paul Flaspohler, Catherine A. Lesesne, Richard Puddy; Action Editor: Emilie Phillips Smith     

Using the Interactive Systems Framework in Understanding the Relation Between General Program Capacity and Implementation in Afterschool Settings

The present study uses the Interactive Systems Framework (ISF) to understand how general capacity influences the implementation of prevention programs in afterschool settings. Eight afterschool sites received the Good Behavior Game (GBG) intervention, a program designed to foster supportive behavioral management and positive youth behavior. In line with the Prevention Support System component of ISF, the intervention afterschool staff were trained and received weekly on-site support from coaches in implementing the GBG. It was found that GBG implementation scores were greatest in afterschool programs that rated high on both organizational- and community-levels of general capacity; high scores on only one level of general capacity resulted in lower implementation scores. Thus, afterschool sites that were more organized, maintained adequate facilities, and developed strong linkages to individuals or organizations in the community scored highest in implementation fidelity and quality. This study highlights the importance of considering interactions among multiple levels of general capacity in efforts to promote evidence-based practices in afterschool settings. Caution should be taken in generalizing findings due to the small sample in this study.     

Prayer as a cause of recovery from illness

This research aimed to examine the developmental trajectory of the beliefs about the power of prayer to aide recovery from illness. One hundred and sixty children and young adults divided in four age groups participated in the study. Participants were interviewed with vignettes presenting two sick individuals who differed in terms of prayers that they received from their friends in order to recover from their illness. The results showed that children and pre-adolescents strongly believe in the power of prayer to recover from illness while only about half of the university students share this belief. Thus, contrary to the framework theory approach, children, adolescents, and young adults did not replace these beliefs (as naive explanations), with the scientific explanations. Instead, they continue to hold these beliefs in parallel to their scientific explanations.     

A method in modeling interactive pedestrian crossing and driver yielding decisions during their interactions at intersections

Investigating pedestrian crossing and driver yielding decisions should be an important focus considering the high risks of pedestrians in exposed to motorized traffic. Limitations, however, exist in previous studies – variables considered previously have been limited; how their behavior affect each other (defined as interactive impacts) were not sufficiently considered. This paper aims to provide a methodological approach for pedestrian crossing and driver yielding decisions during their interactions, considering of different variable types including interactive impact variables, traffic condition variables, road design variables, and environment variables. A Distance-Velocity (DV) framework proposed in an earlier study is introduced for definitions and concepts in studying pedestrian-vehicle interactions. Logistic regression, support vector machines, neural networks and random forests, are introduced as candidate models. A case study involving six crosswalk locations is conducted, focusing on interactions between pedestrians and right-turn vehicles. The proposed methodological approach is applied, with the performance of the four machine learning methods compared in terms of model generalization and confusion matrix. The model with the best performance is further compared to the typical gap-based model. Results show that random forest and logistic regression models performed the best in modeling pedestrian crossing and driver yielding decisions respective, in terms of model generalization. Besides, the DV-based modeling method (average accuracy of over 90% for pedestrians and 80% for drivers) outperformed the traditional gap-based method in all test seeds. As a key finding, interactive impacts from each other (the pedestrian and the driver) act as a key contributing variable on their decisions.     

Behavioral science integration: A practical framework of multi-level converging evidence for behavioral science theories

Several frameworks exist to help science in organizing known information, connecting previously disparate phenomena, promoting understanding, and identifying gaps in knowledge. This paper integrates previous frameworks that have been used in the behavioral sciences to produce a more comprehensive, specific, and complete framework, consonant with the process of scientific discovery as based on multiple, independent, and converging lines of evidence. This multi-level convergence framework is designed specifically for the analysis and understanding of human cognitive/behavioral traits, in contrast to more general frameworks that are designed to be applied relatively widely (such as across all information processing systems or across all biological organisms). This integrated framework overcomes gaps in prior frameworks, provides a more complete picture of the interrelationships between various aspects of the behavioral sciences, and can aid in evaluating theories, both for comparison and identifying gaps in evidentiary support.     

The “impact factor style of thinking”: A new theoretical framework

Over the last few years, university policy in developed countries has placed too much emphasis on assessing publications on the basis of the impact factor. Any scientific material that has not been published in a journal indexed in the Journal Citation Reports is academically irrelevant. Hence, researchers strive hard to publish in such journals. Failure to achieve this means not having a successful career or receiving any academic recognition. A thorough analysis of the effects of this phenomenon on the researcher community leads to the conclusion that the overestimation of the impact factor is likely to cause disappointment among many researchers. Researchers only have two options: adopting a politically correct behavior, that is, following the “impact factor style of thinking”, or accepting the futility of their research regardless of its relevance. This is an example of the involvement of university policy habitus obsessed impact index. O policy impact index is accepted, or is doomed to academic ostracism, and exclusion from participation in all university policy.     

Thinking bigger: The Cronbachian paradigm & personality theory integration

Personality theories largely mirror disparities between fundamental paradigms that guide most psychology: one based upon Galton’s emphasis on inter-individual differences and the lexical hypothesis; the other inspired by Wundt is focused upon intra-individual processes, such as temperament and Reinforcement Sensitivity Theory. Previous integrations of personality models using these paradigms failed to account for observed variance, suggesting model incommensurability. We propose that a broader conception—developed from Cronbach and colleagues’ generalisability theory—provides an effective integrating framework, and show how Galtonian and Wundtian models may be assimilated within Cronbachian approaches. Additionally, Cronbachian models have novel practical implications. Application of the Cronbachian paradigm to personality will be challenging, but provides an opportunity to achieve genuine coherence in personality research.     

Cultural adaptation of preschool PATHS (Promoting Alternative Thinking Strategies) curriculum for Pakistani children

Cultural adaptation of evidence‐based programmes has gained importance primarily owing to its perceived impact on the established effectiveness of a programme. To date, many researchers have proposed different frameworks for systematic adaptation process. This article presents the cultural adaptation of preschool Promoting Alternative Thinking Strategies (PATHS) curriculum for Pakistani children using the heuristic framework of adaptation (Barrera & Castro, 2006). The study was completed in four steps: information gathering, preliminary adaptation design, preliminary adaptation test and adaptation refinement. Feedbacks on programme content suggested universality of the core programme components. Suggested changes were mostly surface structure: language, presentation of materials, conceptual equivalence of concepts, training needs of implementation staff and frequency of programme delivery. In‐depth analysis was done to acquire cultural equivalence. Pilot testing of the outcome measures showed strong internal consistency. The results were further discussed with reference to similar work undertaken in other cultures.