An analysis of the value of token reinforcement using a multiple-schedule assessment

Token systems are widely used in clinical settings, necessitating the development of methods to evaluate the reinforcing value of these systems. In the current paper, we replicated the use of a multiple-schedule reinforcer assessment (MSA; Smaby, MacDonald, Ahearn, & Dube, 2007) to evaluate the components of a token economy system for 4 learners with autism. Token systems had reinforcing value similar to primary reinforcers for 2 of the 4 learners, but resulted in lower rates of responding than primary reinforcers for the other 2 learners. Differentiated responding across learners may warrant variation in clinical recommendations on the use of tokens. The results of this study support formal assessment of token system effectiveness, and the MSA procedure provides an efficient method by which to conduct such assessments.     

Evaluating preference for and reinforcing efficacy of fruits and vegetables compared with salty and sweet foods

Children diagnosed with autism spectrum disorder are often more selective in their food preferences than their typically developing peers. Additionally, many preferred food selections have minimal nutritional value. We evaluated the preference for, and reinforcing efficacy of, fruits and vegetables compared with salty and sweet foods, which are often used as edible reinforcers. Multiple-stimulus preference assessments were conducted to identify preferred foods, and reinforcer assessments were conducted to determine the reinforcing efficacy of more preferred foods. Fruits and vegetables were sometimes preferred over salty or sweet foods and often functioned as reinforcers. Future research should incorporate fruits and vegetables into preference assessments when identifying putative reinforcers.     

Examining the item response process to personality measures in high-stakes situations: Issues of measurement validity and predictive validity

We conducted two experimental studies with between-subjects and within-subjects designs to investigate the item response process for personality measures administered in high- versus low-stakes situations. Apart from assessing measurement validity of the item response process, we examined predictive validity; that is, whether or not different response models entail differential selection outcomes. We found that ideal point response models fit slightly better than dominance response models across high- versus low-stakes situations in both studies. Additionally, fitting ideal point models to the data led to fewer items displaying differential item functioning compared to fitting dominance models. We also identified several items that functioned as intermediate items in both the faking and honest conditions when ideal point models were fitted, suggesting that ideal point model is “theoretically” more suitable across these contexts for personality inventories. However, the use of different response models (dominance vs. ideal point) did not have any substantial impact on the validity of personality measures in high-stakes situations, or the effectiveness of selection decisions such as mean performance or percent of fakers selected. These findings are significant in that although prior research supports the importance and use of ideal point models for measuring personality, we find that in the case of personality faking, though ideal point models seem to have slightly better measurement validity, the use of dominance models may be adequate with no loss to predictive validity.     

Facilitating Adolescent Well‐Being: A Review of the Challenges and Opportunities and the Beneficial Roles of Parents,Schools, Neighborhoods,and Policymakers

Adolescents face exceptional challenges and opportunities that may have a lifelong impact on their consumption and personal and societal well‐being. Parents, community members (schools and neighborhoods), and policymakers play major roles in shaping adolescents and influencing their engagement in consumption behaviors that are either developmentally problematic (e.g., drug use and unhealthy eating) or developmentally constructive (e.g., academic pursuits and extracurricular activities). In this article, we discuss two main topics: (a) the challenges and opportunities that characterize adolescence, based primarily on research in epidemiology and neuroscience, and (b) the ways that parents, community members, and policymakers can facilitate positive adolescent development, based on research from many disciplines including marketing, psychology, sociology, communications, public health, and education. Our goal is to summarize the latest scientific findings that can be used by various stakeholders to help adolescents navigate this turbulent period and become well‐adjusted, thriving adults.     

Online implementation of an event history calendar with formr: A tutorial

Event history calendars (EHCs) are popular tools for retrospective data collection. Originally conceptualized as face‐to‐face interviews, EHCs contain various questions about the respondents' autobiography in order to use their experiences as cues to facilitate remembering. For relationship researchers, EHCs are particularly valuable when trying to reconstruct the relational past of individuals. However, although many studies are conducted online nowadays, no freely available online adaptation of the EHC is available yet. In this tutorial, detailed instructions are provided on how to implement an online EHC for the reconstruction of romantic relationship histories within the open‐source framework formr. Ways to customize the online EHC and provide a template for researchers to adapt the tool for their own purposes are showcased.     

A citation network analysis of career mentoring across disciplines: A roadmap for mentoring research in sport

ObjectiveGiven our limited understanding of mentoring in sport, reviewing research from other disciplines has the potential to advance knowledge in this context. Therefore, the purpose of this study was to synthesize and evaluate the mentoring literature across disciplines in order to bridge existing knowledge and to situate the mentoring in sport literature.DesignA citation network analysis.MethodA comprehensive literature search was conducted to locate influential career mentoring articles, books, and book chapters across all disciplines. Subsequently, this body of literature was evaluated using citation network to (a) identify the major career mentoring disciplines, (b) locate the most influential career mentoring texts, (c) evaluate the transfer of knowledge across disciplines, and (d) situate and evaluate the mentoring in sport literature.ResultsThe literature search resulted in a mentoring network of 1,819 texts and 10,951 citation links. Five major mentoring disciplines emerged: academic medicine, industrial and organizational psychology, education, nursing, and psychology. The industrial and organizational psychology and academic medicine disciplines were the most substantial mentoring disciplines. Further, the findings suggest the literature is relatively disconnected within and across disciplines. In regard to sport, the mentoring research represented 1.47% of the full-network (29 texts and 50 citation relations) and is interwoven into the industrial and organizational psychology literature.ConclusionGiven the limited sport texts uncovered in the citation network analysis, sport scholars can stand to benefit from the wealth of existing career mentoring literature in other disciplines. Accordingly, the identification of seminal career mentoring disciplines and texts serves to provide sport mentoring scholars with a roadmap to further promote the advancement and dissemination of mentoring knowledge and research.     

Idiographic network analysis of discrete mood states prior to treatment

Idiographic network models based on time‐series data have received recent attention for their ability to model relationships among symptoms and behaviours as they unfold in time within a single individual (cf. Epskamp, Borsboom, & Fried, 2018; Fisher, Medaglia, & Jeronimus, 2018). Rather than examine the correlational relationships between variables in a sample of individuals, an idiographic network examines correlations within a single person, averaged over many time points. Because the approach averages over time, the data must be stationary (i.e. relatively consistent over time). If individuals experience varying states over time—different mixtures of symptoms and behaviours in one moment or another—then averaging over categorically different moments may undermine model accuracy. Fisher and Bosley (2019) address these concerns via the application of Gaussian finite mixture modelling to identify latent classes of time points in intraindividual time‐series data from a sample of adults with major depressive disorder and/or generalised anxiety disorder (n = 45). The present paper outlines an extension of this work, wherein network analysis is used to model within‐class covariation of symptoms. To illustrate this approach, network models were constructed for each intraindividual class identified by Fisher and Bosley (137 networks across the 45 participants, mean classes/person = ~3, range = 2–4 classes/person). We examine the relative consistency in symptom organisation between each individual's multiple mood state networks and assess emergent group‐level patterns. We highlight opportunities for enhanced treatment personalisation and review nomothetic patterns relevant to transdiagnostic conceptualisations of psychopathology. We address opportunities for integrating this approach into clinical practice and outline potential shortcomings.     

A comparison of multiple reinforcer assessments to identify the function of maladaptive behavior

Functional analysis results indicated that maladaptive behaviors displayed by a 25-year-old man with profound mental retardation were maintained by attention from caregivers and possibly, to a lesser degree, by access to tangible items. A concurrent-schedules procedure was then used to study the relative reinforcing value for maladaptive behavior of attention versus tangible items. Results of the concurrent-schedules assessment and subsequent functional communication training indicated that preference for attention versus access to a tangible object varied.