: Applicants' experiences with discrimination explain their reactions to algorithms in personnel selection

Algorithms might prevent prejudices and increase objectivity in personnel selection decisions, but they have also been accused of being biased. We question whether algorithm-based decision-making or providing justifying information about the decision-maker (here: to prevent biases and prejudices and to make more objective decisions) helps organizations to attract a diverse workforce. In two experimental studies in which participants go through a digital interview, we find support for the overall negative effects of algorithms on fairness perceptions and organizational attractiveness. However, applicants with discrimination experiences tend to view algorithm-based decisions more positively than applicants without such experiences. We do not find evidence that providing justifying information affects applicants—regardless of whether they have experienced discrimination or not.     

Dogs’ ability to follow temporarily invisible moving objects: the ability to track and expect is shaped by experience

Animal Cognition - Visually tracking a moving object, even if it becomes temporarily invisible, is an important skill for animals living in complex environments. However, this ability has not been...     

The impact of customer engagement on customer happiness

Previous studies have found relationships between variables that predict happiness and engagement. While this suggests that engagement is a basis for generating customer happiness, the literature does not provide sufficient confirmatory evidence. Thus, the effects of different engagement intensities remain unclear. Focusing on conditions related to the Starbucks brand, this study analyzed how (1) passive and active engagement impacted customer happiness and (2) happiness impacted word of mouth (WOM) and purchase intention. Data were collected through an online survey among 802 Peruvian customers, all of whom were recruited via non-probabilistic sampling. Because two exogenous variables were considered formative (i.e., customer engagement and customer happiness), a partial least-squares structural equation model (PLS-SEM) was used for the analysis. In sum, engagement (both passive and active) significantly and positively impacted customer happiness, which then positively impacted WOM and purchase intention. Given that engagement is associated with variables that are broadly related to happiness, this study makes new contributions by (i) clarifying how customer engagement can generate customer happiness, (ii) identifying differences between active and passive engagement, and (iii) adding evidence for use in the debate on the purpose of marketing and traditional practices such as engagement. As discussed in the paper, these findings have theoretical and practical implications for brand managers.     

In search of a measure to investigate mental performance among children: Development of the mental speed test

Processing speed is a component of general intelligence and an indicator of learning potential. There is a need for robust measures of mental speed based on contemporary theoretical developments. The current study addressed this need by proposing a mental speed test for children aged 60 to 96 months (5 to 8 years) and examining its psychometric properties. The test included indicators of perceptual speed, memory speed, reasoning speed, and fluency-flexibility speed presented through nonverbal items administered individually using touchscreen tablets. After establishing gender non-bias and concurrent validity with a contemporary intelligence test (i.e., ASIS, r = .59) with 107 children, the next administration included 373 children. Exploratory factor analysis (EFA) with subtest scores revealed a single-factor structure accounting for 45% of the total variance. Additional data from 212 children were used to assess structural validity and gender bias, which showed acceptable goodness of fit, providing evidence of the validity and reliability of the new measure for further use.     

One-year prediction of cognitive decline following cognitive-stimulation from real-world data

Clinical evidence based on real-world data (RWD) is accumulating exponentially providing larger sample sizes available, which demand novel methods to deal with the enhanced heterogeneity of the data. Here, we used RWD to assess the prediction of cognitive decline in a large heterogeneous sample of participants being enrolled with cognitive stimulation, a phenomenon that is of great interest to clinicians but that is riddled with difficulties and limitations. More precisely, from a multitude of neuropsychological Training Materials (TMs), we asked whether was possible to accurately predict an individual's cognitive decline one year after being tested. In particular, we performed longitudinal modelling of the scores obtained from 215 different tests, grouped into 29 cognitive domains, a total of 124,610 instances from 7902 participants (40% male, 46% female, 14% not indicated), each performing an average of 16 tests. Employing a machine learning approach based on ROC analysis and cross-validation techniques to overcome overfitting, we show that different TMs belonging to several cognitive domains can accurately predict cognitive decline, while other domains perform poorly, suggesting that the ability to predict decline one year later is not specific to any particular domain, but is rather widely distributed across domains. Moreover, when addressing the same problem between individuals with a common diagnosed label, we found that some domains had more accurate classification for conditions such as Parkinson's disease and Down syndrome, whereas they are less accurate for Alzheimer's disease or multiple sclerosis. Future research should combine similar approaches to ours with standard neuropsychological measurements to enhance interpretability and the possibility of generalizing across different cohorts.     

Latinx Mental Health Scholars' Experiences with Cultural Adaptation and Implementation of Systemic Family Interventions

An increasing number of culturally adapted family-level interventions address mental health disparities with marginalized populations in the United States. However, with these developments many barriers have arisen, such as challenges with degree of cultural fit, engagement, and sustainability. We conducted 12 elite phenomenological interviews with mental health scholars involved in prevention and intervention family research with various Latinx communities within and outside of the United States. These scholars discussed their experiences of overcoming barriers in their research. We used thematic analysis to code and analyze participant responses, and our findings support the gaps in previous literature and highlight potential pathways to overcoming barriers in cultural adaptation research. Themes included the need for: (a) better understanding of the intersection between culture and context; (b) community-centered approaches to addressing implementation challenges; and (c) structural changes within institutional, governmental, and political levels. We discuss implications for researchers and practitioners working with Latinx families.     

Dialogue and Dominance in Couple Therapy for Depression: Exploring Therapists’ Responses in Creating Collaborative Moments

Previous investigations have found specific communication patterns in couples dealing with depression, specifically when depression concurs with conjugal conflicts. The presence of these patterns can reflect couples’ difficulties in engaging in collaborative communication during their sessions, posing a real challenge for therapists. This exploratory study uses a dialogical approach to examine issues of dominance and type of dialogue in two couples who differed in terms of their levels of dyadic adjustment. The therapists’ reactions were explored in order to detect the kinds of responses that were most effective at engendering a collaborative attitude in therapy sessions. The method used to analyze the dialogue was Dialogical Investigations of Happenings of Change (DIHC). Results on dominance indicated that the degree of quantitative and semantic dominance displayed by a different member of the couple in each case was illustrative of their relational dynamics, while in both cases interactional dominance was exercised by the therapists. Results on dialogue revealed that dialogic dialogue might help to coconstruct new shared meanings of depression. The findings indicated that certain responses by therapists as part of the dialogue could be useful in bringing about a reduction in hostility between the members of a couple, provided that the responses are maintained over the course of the session. Some research and clinical implications that emerge from the results are discussed.