Gennclus: New models for general nonhierarchical clustering analysis

A general class of nonhierarchical clustering models and associated algorithms for fitting them are presented. These (metric) clustering models generalize the Shepard-Arabie Additive Clusters model in allowing for: (1). either overlapping or nonoverlapping clusters; (2). either symmetric (one-way clustering) or nonsymmetric (two-way clustering) proximities (input data); and, (3). either symmetric or diagonal weights. The GENNCLUS algorithms utilize alternating least-squares methods combining ordinary and constrained least-squares, nonlinear constrained mathematical programming, and combinatorial optimization techniques in estimating model parameters. In addition to developing the mathematical bases of these models, a comprehensive set of Monte Carlo simulations of the different models is reported. Two applications concerning brand-switching data and celebrity-brand proximities are discussed. Finally, extensions to three-way models, nonmetric analyses, and other model specifications are provided.Wayne S. DeSarbo is a Member of Technical Staff in the Mathematics and Statistics Research Center at Bell Laboratories in Murray Hill, N.J. I wish to thank R. Gnanadesikan, J. D. Carroll, and P. Arabie for their comments on a previous draft of this paper. I also wish to acknowledge the computer assistance provided by Linda Clark. Finally, I wish to thank the reviewers and editor for their very complete reviews and comments.     

The polyserial correlation coefficient

The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. The maximum likelihood estimator of the polyserial correlation is compared with a two-step estimator and with a computationally convenient ad hoc estimator. All three estimators perform reasonably well in a Monte Carlo simulation. Some practical applications of the polyserial correlation are described.By coincidence, the first author and the second and third authors learned that they were working independently on closely related problems and, consequently, decided to write a jointly authored paper.     

Indicators of Affect Dynamics: Structure,Reliability, and Personality Correlates

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split-half reliability based on indices from odd-numbered and even-numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Personal values and unsanctioned aggression inherent in contact sports: The role of self-regulatory mechanisms,aggressiveness, and demographic variables

IntroductionTo date, research-examining factors related to the sociocognitive self-regulatory mechanisms governing unsanctioned aggression have received scant attention in applied sport psychology.ObjectiveA mediating model as influenced by various demographic variables was applied to explore the relationships between athletes’ personal values and their unsanctioned aggression directly and indirectly through the mediating role of resistive self-regulatory efficacy, moral disengagement, and aggressiveness.MethodA sample of 301 French competitors of different age (young: n = 200 and adult: n = 101), gender (male: n = 172 and female: n = 129), type of sport (high: n = 131 and low contact: n = 170), level of competition (beginner: n = 115, intermediate: n = 110, and advanced: n = 76), and length of practice (brief: n = 109, intermediate: n = 49, and extensive: n = 143) completed a questionnaire assessing the aforementioned variables.ResultsStructural equation modelling demonstrates that self-transcendence and self-enhancement values have only indirect negative and positive effects, respectively, on unsanctioned aggression through the full mediating effect of the mediators. Also, age, gender, and type of sport were predictive only of some personal values and mediators.ConclusionThese findings offer evidence that resistive self-regulatory efficacy, moral disengagement, and aggressiveness are mediators that fully govern the impact of athletes’ personal values and certain demographic variables on their unsanctioned aggression. Several limitations, implications and suggestions for further research are discussed.     

A perception-based cognitive map of the pedestrian perceived quality of service on urban sidewalks

A better understanding of what walking entails is important in sustainable transportation planning. Recent research has shown that perceptions have a higher power to explain the quality of service (QoS) than objective measures have; the latter being typically used in the pedestrian level of service methodologies. Despite the existing research on perceptions and QoS in other transportation fields, very little information has been found in the literature that can explain a clear cognitive structure that defines the pedestrian QoS. In this research, we propose a cognitive map to make it possible to understand and explain pedestrian sidewalk QoS of a given infrastructure when walking, based on perceptions. We gathered the perceptions of 1056 pedestrians on-site, regarding the attributes (indicators) identified in the literature review in 30 locations in Bogotá, Colombia. Based on an Exploratory Factor Analysis, we developed a conceptual model through Structural Equation Modeling. We found that seven latent variables (LVs) (i.e., Sidewalk characteristics, Externalities, Surrounding, Discomfort, Bike hassles, Protection, and Amenities) interrelate to each other, forming a pedestrian cognitive map. QoS is directly explained by how pedestrians perceive the LVs sidewalk characteristics and surrounding and indirectly by the rest of LVs. The cognitive map shows three LVs related to the interaction between pedestrians and other transportation modes (i.e., externalities, discomfort, and bike hassles) that impact the perceived QoS negatively, and four LVs related to the interaction between pedestrians and different elements of the sidewalk (i.e., sidewalk characteristics, surrounding, amenities, and protection) that impact the perceived QoS positively. To understand pedestrian perceptions when walking and the path that these perceptions follow to develop a QoS perception provides an accurate tool by which to improve the QoS from the useŕs perspective, generating a new opportunity to provide better pedestrian facilities.     

Tucker3 hierarchical classes analysis

This paper presents a new model for binary three-way three-mode data, called Tucker3 hierarchical classes model (Tucker3-HICLAS). This new model generalizes Leenen, Van Mechelen, De Boeck, and Rosenberg's (1999) individual differences hierarchical classes model (INDCLAS). Like the INDCLAS model, the Tucker3-HICLAS model includes a hierarchical classification of the elements of each mode, and a linking structure among the three hierarchies. Unlike INDCLAS, Tucker3-HICLAS (a) does not restrict the hierarchical classifications of the three modes to have the same rank, and (b) allows for more complex linking structures among the three hierarchies. An algorithm to fit the Tucker3-HICLAS model is described and evaluated in an extensive simulation study. An application of the model to hostility data is discussed.The first author is a Research Assistant of the Fund for Scientific Research-Flanders (Belgium). The research reported in this paper was partially supported by the Research Council of K.U. Leuven (GOA/2000/02). We are grateful to Kristof Vansteelandt for providing us with an interesting data set.     

Impact of treatment integrity on intervention effectiveness

Treatment integrity has cogent implications for intervention effectiveness. Understanding these implications is an important, but often neglected, undertaking in behavior analysis. This paper reviews current research on treatment integrity in applied behavior analysis. Specifically, we review research evaluating the relation between integrity failures and the efficacy of behavioral interventions. Avenues for future research are provided.     

Predictors of children's prosocial lie-telling: Motivation, socialization variables, and moral understanding

Children tell prosocial lies for self- and other-oriented reasons. However, it is unclear how motivational and socialization factors affect their lying. Furthermore, it is unclear whether children’s moral understanding and evaluations of prosocial lie scenarios (including perceptions of vignette characters’ feelings) predict their actual prosocial behaviors. These were explored in two studies. In Study 1, 72 children (36 second graders and 36 fourth graders) participated in a disappointing gift paradigm in either a high-cost condition (lost a good gift for a disappointing one) or a low-cost condition (received a disappointing gift). More children lied in the low-cost condition (94%) than in the high-cost condition (72%), with no age difference. In Study 2, 117 children (42 preschoolers, 41 early elementary school age, and 34 late elementary school age) participated in either a high- or low-cost disappointing gift paradigm and responded to prosocial vignette scenarios. Parents reported on their parenting practices and family emotional expressivity. Again, more children lied in the low-cost condition (68%) than in the high-cost condition (40%); however, there was an age effect among children in the high-cost condition. Preschoolers were less likely than older children to lie when there was a high personal cost. In addition, compared with truth-tellers, prosocial liars had parents who were more authoritative but expressed less positive emotion within the family. Finally, there was an interaction between children’s prosocial lie-telling behavior and their evaluations of the protagonist’s and recipient’s feelings. Findings contribute to understanding the trajectory of children’s prosocial lie-telling, their reasons for telling such lies, and their knowledge about interpersonal communication.     

Willingness to Seek Treatment Among Black Students With Anxiety or Depression: The Synergistic Effect of Sociocultural Factors With Symptom Severity and Intolerance of Uncertainty

Anxiety and depressive disorders are among the most commonly diagnosed psychiatric disorders, yet they remain largely undertreated in the U.S. and Black adults are especially unlikely to seek or receive mental health services. Symptom severity has been found to impact treatment-seeking behaviors as have sociocultural factors. Yet no known research has tested whether these factors work synergistically to effect willingness to seek treatment. Further, emerging data point to the importance of transdiagnostic risk factors such as intolerance of uncertainty (IU). IU may be negatively related to seeking treatment given that Black adults may be uncertain whether treatment might benefit them. Thus, the current study examined the relations between symptom severity/IU and willingness to seek treatment for anxiety/depression problems and the impact of key sociocultural variables (i.e., cultural mistrust–interpersonal relations [CMI-IR], perceived discrimination [PED]) on these relations among 161 (85% female) Black undergraduates. Consistent with prediction, symptom severity was positively related to willingness, but unexpectedly, IU was positively related. There was a significant Symptom Severity × CMI-IR interaction such that severity was positively related to willingness among students with lower cultural mistrust, but not higher mistrust. There were also significant IU × PED interaction such that IU was positively related to willingness among students with lower PED, but not higher PED. Results highlight the importance of considering the interplay between symptom severity, transdiagnostic vulnerability factors, and sociocultural variables when striving to identify factors related to treatment seeking behaviors among anxious and/or depressed Black students.     

Developmental effects of economic and educational change: Cognitive representation in three generations across 43 years in a Maya community

We studied the implications of social change for cognitive development in a Maya community in Chiapas, Mexico, over 43 years. The same procedures were used to collect data in 1969–1970, 1991, and 2012—once in each generation. The goal was to understand the implications of weaving, schooling and participation in a commercial economy for the development of visual pattern representation. In 2012, our participants consisted of 133 boys and girls descended from participants in the prior two generations. Procedures consisted of placing colored sticks in a wooden frame to make striped patterns, some familiar (Zinacantec woven patterns) and some novel (created by the investigators). Following Greenfield (2009), we hypothesised that the development of commerce and the expansion of formal schooling would influence children's representations. Her theory postulates that these factors move human development towards cognitive abstraction and skill in dealing with novelty. Furthermore, the theory posits that whatever sociodemographic variable is changing most rapidly functions as the primary motor for developmental change. From 1969 to 1991, the rapid development of a commercial economy drove visual representation in the hypothesised directions. From 1991 to 2012, the rapid expansion of schooling drove visual representation in the hypothesised directions.