Toward a comprehensive model of antisocial development: a dynamic systems approach

The purpose of this article is to develop a preliminary comprehensive model of antisocial development based on dynamic systems principles. The model is built on the foundations of behavioral research on coercion theory. First, the authors focus on the principles of multistability, feedback, and nonlinear causality to reconceptualize real-time parent-child and peer processes. Second, they model the mechanisms by which these real-time processes give rise to negative developmental outcomes, which in turn feed back to determine real-time interactions. Third, they examine mechanisms of change and stability in early- and late-onset antisocial trajectories. Finally, novel clinical designs and predictions are introduced. The authors highlight new predictions and present studies that have tested aspects of the model     

Toward a model of positive health

This article proposes a model of positive health based on a human-system framework. Such a framework is comprehensive in that (a) it encompasses all of the human system's behavioral subsystems (biochemical, physiological, perceptual, cognitive, and interpersonal), and (b) it permits a higher asymptote of health conceptualization and measurement than that afforded by Western biomedical theory. The article sets forth the conceptual basis of the model and reviews empirical studies that support the model. Finally, the article explores implications of the model for health research, for programs of health enhancement, and for the role of the behavioral sciences in health theory.     

Toward a contemporary quantitative model of punishment

A direct‐suppression, or subtractive, model of punishment has been supported as the qualitatively and quantitatively superior matching law‐based punishment model (Critchfield, Paletz, MacAleese, & Newland, 2003; de Villiers, 1980; Farley, 1980). However, this conclusion was made without testing the model against its predecessors, including the original (Herrnstein, 1961) and generalized (Baum, 1974) matching laws, which have different numbers of parameters. To rectify this issue, we reanalyzed a set of data collected by Critchfield et al. (2003) using information theoretic model selection criteria. We found that the most advanced version of the direct‐suppression model (Critchfield et al., 2003) does not convincingly outperform the generalized matching law, an account that does not include punishment rates in its prediction of behavior allocation. We hypothesize that this failure to outperform the generalized matching law is due to significant theoretical shortcomings in model development. To address these shortcomings, we present a list of requirements that all punishment models should satisfy. The requirements include formal statements of flexibility, efficiency, and adherence to theory. We compare all past punishment models to the items on this list through algebraic arguments and model selection criteria. None of the models presented in the literature thus far meets all of the requirements.     

Toward a predictive model of family planning

A study of 1200 women aged 15-45 in Mexico City was conducted with the object of discovering the factors that have the greatest predictive value for attitudes, beliefs, intentions, and behavior in reference to family planning. Information was solicited by questionnaire with respect to 6 groups of variables: 1) independent variables (age, education, occupation and education of spouse, and whether the woman worked before marriage); 2) perceived value of children and family planning; 3) peer group norms; 4) marital relationship; 5) modernization; and 6) motivation. Factor analysis was applied to each of the groups ofvariables to determine which factors had the greatest impact within the group; then multiple regression analysis was applied to determine which factors had the greatest predictive value. A predictive model of family planning according to the results is illustrated and the various aspects discussed. It was found that the intention to use contraceptives and a good marital relationship (one with open communication and shared decision making) were the best predictors of effective family planning behavior.     

Toward a tripartite model of intrinsic motivation

Intrinsic motivation (IM) refers to engaging in an activity for the pleasure inherent in the activity. The present article presents a tripartite model of IM consisting of IM to know (i.e., engaging in an activity to experience pleasure while learning and trying to understand something new), IM toward accomplishment (i.e., engaging in an activity for the pleasure experienced when attempting task mastery), and IM to experience stimulation (i.e., engaging in an activity for feelings of sensory pleasure). The tripartite model of IM posits that each type of IM can result from task, situational, and personality determinants and can lead to specific types of cognitive, affective, and behavioral outcomes. The purpose of this research was to test some predictions derived from this model. Across 4 studies (Study 1: N = 331; Study 2: N = 113; Study 3: N = 58; Study 4: N = 135), the 3 types of IM as well as potential determinants and consequences were assessed. Results revealed that experiencing one type of IM over the others depends in part on people's personality styles. Also, each type of IM was found to predict specific outcomes (i.e., affective states and behavioral choices). The implications of the tripartite model of IM for motivation research are discussed.     

Toward a translational model of Stroop interference

Models of the Stroop effect that postulate single, centralized processing stations are fundamentally incorrect. A translational model is proposed in which parallel processing systems are hypothesized that are linked by a translation mechanism. Each system processes information using its own internal code specifically linked to the type of information the system processes. Information is passed between these systems via the translation mechanism. Evidence supporting this model comes from both the literature and the experiments reported in this article. Of primary importance is the demonstration that the pattern of interference that emerges is dependent upon the cognitive system used to process the information.

     

Toward a model of dichotic listening performance

Dichotic listening performance for different classes of speech sounds was examined under conditions of controlled attention. Consideration of the complex of target item and competing item demonstrated that, in general, targets were more accurately identified when the competing item shared no relevant features with it and less accurately identified when the competing item shared place, voice, or manner with the target item. Nasals as well as stops demonstrated a significant right-ear advantage (REA). False alarm rates were very similar for left and right attentional conditions, whereas intrusions from the right ear while attending to the left were far more common than intrusions from the left while attending to the right. Attention is viewed as serving to select the stimuli that will be reported, but at a late stage, and only after the right ear perceptual advantage has had its effect. A model of dichotic listening performance is proposed in which both the ease of localizing the item and the strength of evidence for the presence of the item are relevant factors.     

Toward a clinically-oriented model of anxiety disorders

The Diagnostic and Statistical Manual of Mental Disorders (DSM) model of psychopathology has generally been the accepted standard in North America for understanding and diagnosing psychological disorders for over half a century. This classification model, particularly since DSM-III, has been formulated around the goals of aiding diagnosis, enhancing communication among professionals, fostering psychopathology research and informing treatment. However, all classification systems are inherently dependent on the purpose for the classification. In this paper, an argument is made for a clinically-relevant diagnostic system of mental disorders to support a primary goal of informing treatment. Several lines of research are examined, including studies on diagnostic reliability, dimensional vs categorical nature of anxiety disorders, co-morbidity, and psychotherapeutic and pharmacological treatment outcome as they relate to current and proposed diagnostic models of anxiety disorders. Based on the evidence, suggestions are made for revising diagnostic models of anxiety, and key lines of future research are proposed.     

Attraction toward physical activity as a moderator of socio-cognitive predictors of physical activity

Previous research highlighted gaps between socio-cognitive factors (e.g., intentions, social norms) and physical activity (PA) participation. Recently, researchers have asserted that considering affective processes may help bridge this gap. Leveraging the affective-reflective theory of physical inactivity and exercise, this study examined whether individuals’ attraction toward PA moderated the relationship between PA intentions and behaviors, and the relationship between social norms and PA intentions. Analysis of online survey data (N_T1 = 582; N_T2 = 327) provided evidence that social norms more strongly predicted PA intentions under conditions of lower attraction to PA. However, the results differed depending on how intentions were measured: Moderation was found for intention strength as the outcome, but no moderation was found for decisional intention as the outcome. The intentions-behavior relationship, despite nonsignificant interaction terms, showed patterns of positive moderation based on changes in simple slopes: Intentions more strongly predicted PA behavior at time 2 under conditions of higher attraction to PA. The findings align with recent theorizing that emphasizes the role of affect-related determinants when understanding and promoting PA. Practically, these results suggest that intervention strategies should differ according to the individuals’ current levels of attraction toward PA.     

Toward a comprehensive model of face impressions: What we know,what we do not,and paths forward

A person's impression of another depends upon three sources of variance. The characteristics of the target, the characteristics of the perceiver, and the interplay between the two. Researchers have dedicated different amounts of study to these three sources of variance, and therefore they differ in how well they are understood. The present work will first review the portions of the face impression process that are understood well, then identify and discuss portions of the process less well understood. We will then question to what extent the current state of knowledge will generalize to novel targets and populations. Finally, we will review several modeling approaches that can accommodate relatively unexamined yet important sources of variance in impression formation, suggesting a clear path forward toward a comprehensive understanding of face impressions.     

Toward a model for spirituality and alcoholism

Spirituality is a significant factor in recovery from alcoholism, whatever definition of this condition one may use. One aspect of alcohol abuse is its apparent relationship to the balance between brain hemispheres. Excessive use of alcohol anesthetizes the object-based, language-oriented functions of the left hemisphere, associated with an action mode of consciousness. This allows greater engagement of the right-hemisphere receptive mode, which is also associated with religious experience. A model of spirituality based on achieving a balance between hemisphere functions and modes of consciousness could provide a non-chemical alternative to excessive use of alcohol.     

Using the EZ-diffusion model to score a Single-Category Implicit Association Test of physical activity

ObjectiveThe Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique.DesignStudy 1 was a cross-sectional study, and study 2 was a prospective study.MethodIn study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score.ResultsIn study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT.ConclusionsThe information processing efficiency score is a valid measure of automatic evaluations of physical activity.     

Toward a comprehensive test battery for face cognition: Assessment of the tasks

Despite the importance of face recognition in everyday life and frequent complaints about its failure, there is no comprehensive test battery for this ability. As a first step in constructing such a battery, we present 18 tasks aimed at measuring face perception, face learning, face recognition, and the recognition of facially expressed emotions. A sample of 153 healthy young adults completed all tasks. In general, reaction time measures showed high estimates of internal consistency; tasks focused on performance accuracy yielded reliabilities that were somewhat lower, yet high enough to support their use in a battery of face cognition measures. Some of the tasks allowed computation of established experimental effects in a within-subjects design, such as the part-whole effect. Most of these experimental effects were confirmed in our large sample, and valuable effect size estimates were obtained. However, in many cases these difference measures showed poor estimates of internal consistency.     

Toward a biopsychosocial model for 21st-century genetics

Advances in genomic research are increasingly identifying genetic components in major health and mental health disorders. This article presents a Family System Genetic Illness model to address the psychosocial challenges of genomic conditions for patients and their families, and to help organize this complex biopsychosocial landscape for clinical practice and research. This model clusters genomic disorders based on key characteristics that define types of disorders with similar patterns of psychosocial demands over time. Key disease variables include the likelihood of developing a disorder based on specific genetic mutations, overall clinical severity, timing of clinical onset in the life cycle, and whether effective treatment interventions exist to alter disease onset and/or progression. For disorders in which carrier, predictive, or presymptomatic testing is available, core nonsymptomatic time phases with salient developmental challenges are described pre- and post-testing, including a long-term adaptation phase. The FSGI model builds on Rolland's Family System Illness model, which identifies psychosocial types and phases of chronic disorders after clinical onset. The FSGI model is designed to be flexible and responsive to future discoveries in genomic research. Its utility is discussed for research, preventive screening, family assessment, treatment planning, and service delivery in a wide range of healthcare settings.