Stimuli, reinforcers, and behavior: an integration

We propose that a fundamental unit of behavior is the concurrent discriminated operant, and we discuss in detail a quantitative model of the concurrent three-term contingency that is based on the notion that an animal's behavior is controlled to differing extents by both stimulus—behavior and behavior—reinforcer relations. We show how this model can describe performance in a variety of experimental procedures: conditional discrimination and matching to sample, both with and without reinforcement for responses that are traditionally identified as errors; conditional discrimination with more than two stimuli and choice alternatives; delayed matching to sample and delayed reinforcement in matching to sample; second-order and complex conditional discrimination; and multiple and concurrent schedules. Although the model is incomplete in its coverage, and may be incorrect, we believe that this conceptual approach will bear fruit in the development of behavior theory.     

Murray Sidman: fostering progress through foundational choices

The contributions of Murray Sidman to the field of behavior analysis have helped to put the field on a progressive path. In this paper we describe three areas as examples, drawn from the larger set of his notable contributions: the analysis of stimulus equivalence in a way that has fostered a behavior-analytic approach to derived stimulus relations and symbolic meaning; the observation and measurement of individual behavior through time; and his stance against punitive applied methods. In each of these areas Sidman was a dedicated behaviorist, avoiding appeals to mentalistic or transcendental forces, opposing hypothetical mediational accounts, and taking a functional and contextual approach. Clarity of assumptions was at the heart of Sidman's effective scientific practices and there is no reason to think that those same assumptions will not carry us further, as evidence mounts in support of these views on psychological research and practice.     

Handling Missing Covariates in Conditional Mixture Models Under Missing at Random Assumptions

Mixture modeling is a popular method that accounts for unobserved population heterogeneity using multiple latent classes that differ in response patterns. Psychologists use conditional mixture models to incorporate covariates into between-class and/or within-class regressions. Although psychologists often have missing covariate data, conditional mixtures are currently fit with a conditional likelihood, treating covariates as fixed and fully observed. Under this exogenous-x approach, missing covariates are handled primarily via listwise deletion. This sacrifices efficiency and does not allow missingness to depend on observed outcomes. Here we describe a modified joint likelihood approach that (a) allows inference about parameters of the exogenous-x conditional mixture even with nonnormal covariates, unlike a conventional multivariate mixture; (b) retains all cases under missing at random assumptions; (c) yields lower bias and higher efficiency than the exogenous-x approach under a variety of conditions with missing covariates; and (d) is straightforward to implement in available commercial software. The proposed approach is illustrated with an empirical analysis predicting membership in latent classes of conduct problems. Recommendations for practice are discussed.     

Identifying predictive behavioral markers: A demonstration using automatically reinforced self‐injurious behavior

Predictive biomarkers (PBioMs) are objective biological measures that predict response to medical treatments for diseases. The current study translates methods used in the field of precision medicine to identify PBioMs to identify parallel predictive behavioral markers (PBMs), defined as objective behavioral measures that predict response to treatment. We demonstrate the utility of this approach by examining the accuracy of two PBMs for automatically reinforced self‐injurious behavior (ASIB). Results of the analysis indicated both functioned as good to excellent PBMs. We discuss the compatibility of this approach with applied behavior analysis, describe methods to identify additional PBMs, and posit that variables related to the mechanisms of problem behavior and putative mechanism of treatment action hold the most promise as potential PBMs. We discuss how this technology could guide individualized treatment selection, inform our understanding of problem behavior and mechanisms of treatment action, and help determine the conditional effectiveness of clinical procedures.     

Graphical regression models for polytomous variables

When modeling the relationship between two nominal categorical variables, it is often desirable to include covariates to understand how individuals differ in their response behavior. Typically, however, not all the relevant covariates are available, with the result that the measured variables cannot fully account for the associations between the nominal variables. Under the assumption that the observed and unobserved variables follow a homogeneous conditional Gaussian distribution, this paper proposesRC(M) regression models to decompose the residual associations between the polytomous variables. Based on Goodman's (1979, 1985)RC(M) association model, a distinctive feature ofRC(M) regression models is that they facilitate the joint estimation of effects due to manifest and omitted (continuous) variables without requiring numerical integration. TheRC(M) regression models are illustrated using data from the High School and Beyond study (Tatsuoka & Lohnes, 1988). This article was accepted for publication, when Willem J. Heiser was the Editor ofPsychometrika. This research was supported by grants from the National Science Foundation (#SBR96-17510 and #SBR94-09531) and the Bureau of Educational Research at the University of Illinois. We thank Jee-Seon Kim for comments and computational assistance.     

On Conducting Construct Validity Meta-Analyses for the Rorschach: A Reply to Tibon Czopp and Zeligman (2016)

We respond to Tibon Czopp and Zeligman's (2016) critique of our systematic reviews and meta-analyses of 65 Rorschach Comprehensive System (CS) variables published in Psychological Bulletin (2013). The authors endorsed our supportive findings but critiqued the same methodology when used for the 13 unsupported variables. Unfortunately, their commentary was based on significant misunderstandings of our meta-analytic method and results, such as thinking we used introspectively assessed criteria in classifying levels of support and reporting only a subset of our externally assessed criteria. We systematically address their arguments that our construct label and criterion variable choices were inaccurate and, therefore, meta-analytic validity for these 13 CS variables was artificially low. For example, the authors created new construct labels for these variables that they called “the customary CS interpretation,” but did not describe their methodology nor provide evidence that their labels would result in better validity than ours. They cite studies they believe we should have included; we explain how these studies did not fit our inclusion criteria and that including them would have actually reduced the relevant CS variables’ meta-analytic validity. Ultimately, criticisms alone cannot change meta-analytic support from negative to positive; Tibon Czopp and Zeligman would need to conduct their own construct validity meta-analyses.     

Models and mosaics: Investigating cross-cultural differences in risk perception and risk preference

In this article, we describe a multistudy project designed to explain observed cross-national differences in risk taking between respondents from the People’s Republic of China and the United States. Using this example, we develop the following recommendations for cross-cultural investigations. First, like all psychological research, cross-cultural studies should be model based. Investigators should commit themselves to a model of the behavior under study that explicitly specifies possible causal constructs or variables hypothesized to influence the behavior, as well as the relationship between those variables, and allows for individual, group, or cultural differences in the value of these variables or in the relationship between them. This moves the focus from a simple demonstration of cross-national differences toward a prediction of the behavior, including its cross-national variation. Ideally, the causal construct hypothesized and shown to differ between cultures should be demonstrated to serve as a moderator or a mediator between culture and observed behavioral differences. Second, investigators should look for converging evidence for hypothesized cultural effects on behavior by looking at multiple dependent variables and using multiple methodological approaches. Thus, the data collection that will allow for the establishment of conclusive causal connections between a cultural variable and some target behavior can be compared with the creation of a mosaic.     

Experimental analyses of gene-brain-behavior relations: some notes on their application.

The fields of genetics and neuroscience are yielding findings useful in understanding complex behavior-environment relations. We believe that these developments in interdisciplinary basic research are of interest to applied behavior analysts because of the long history of basic findings being used by the readership of the Journal of Applied Behavior Analysis to improve everyday human activities. An awareness of contemporary developments in a range of basic research disciplines may facilitate the systematic replication of those functional relations in applied settings. In this context, we selectively review papers published in the Journal of the Experimental Analysis of Behavior and other basic research journals that relate to gene-brain-behavior relations.     

Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization

Abstract

Exploratory Factor Analysis (EFA) is a widely used statistical technique to discover the structure of latent unobserved variables, called factors, from a set of observed variables. EFA exploits the property of rotation invariance of the factor model to enhance factors’ interpretability by building a sparse loading matrix. In this paper, we propose an optimization-based procedure to give meaning to the factors arising in EFA by means of an additional set of variables, called explanatory variables, which may include in particular the set of observed variables. A goodness-of-fit criterion is introduced which quantifies the quality of the interpretation given this way. Our methodology also exploits the rotational invariance of EFA to obtain the best orthogonal rotation of the factors, in terms of the goodness-of-fit, but making them match to some of the explanatory variables, thus going beyond traditional rotation methods. Therefore, our approach allows the analyst to interpret the factors not only in terms of the observed variables, but in terms of a broader set of variables. Our experimental results demonstrate how our approach enhances interpretability in EFA, first in an empirical dataset, concerning volumes of reservoirs in California, and second in a synthetic data example.     

L’enfance et l’adolescence in situ : facteurs environnementaux facilitateurs et inhibiteurs de troubles cognitifs et comportementaux

The definition of mental health associates three fundamental variables: biological variables, psychological variables and environmental variables. In this article, we will focus on environmental variables that inhibit and facilitate cognitive and behavioural disorders in childhood and adolescence. Environmental psychology considers the interrelations between human and environment in its spatial, social and chronological dimensions and considers it as a characterized and undissociated system. We will bring to mind social and physical environmental variables with which children and adolescents interact frequently and, through a literature review, we will enlighten environmental variables that are susceptible to induce behavioural disorders and psychological variables that modulate children's and adolescent's relations to environment. We then suggest possible outcomes of this approach in clinical practice as well as in terms of therapeutic applications in child psychology and psychiatry. Finally, we evoke the necessity of taking in account neurobiological fields in order to outline a model of human development integrating the three variables that define mental health.     

To Believe in Belief

Summary  Take the following version of scientific realism: we have good reason to believe that (some of the) current scientific theories tell us something specific about the underlying, i.e. unobservable, structures of the world, for instance that there are electrons with a certain electric charge, or that there are viruses that cause certain diseases. Popper, the rationalist, would not have adhered to the proposed formulation of scientific realism in terms of the rationality of existential beliefs concerning unobservables. Popper did not believe in belief. According to Van Fraassen, the empiricist, one may yet have a rational existential belief concerning unobservables, given a liberal notion of rationality of belief. In this paper I will investigate to what extent a reassessment of both Popper’s rejection of the rationality of belief and Van Fraassen’s reformulation of the rationality of belief, points towards a new and pragmatist dissolution of the ‘problem of scientific realism’.     

Considering Development in Developmental Disorders

Various theorists have argued for the importance of a developmental approach to studying typical development (Karmiloff-Smith, 1998; Lerner, 1996; Lerner & Hood, 1986; Masten & Cicchetti, 2010; Overton, 2014; Overton & Lerner, 2012, 2014), and there are reasons to believe that this issue is even more critical to the study of atypical development (Thomas, 2016; Thomas et al., 2009). In this article, we bring together perspectives from a variety of theorists to outline the importance of conceptualizing both typical and atypical development as a not-necessarily-linear, interconnected, and multifaceted set of individual trajectories embedded in real-world contexts (Karmiloff-Smith, 1998; Masten & Cicchetti, 2010; Overton & Lerner, 2012). Using examples from studies of atypical brain and behavior, we describe 6 lenses that can be applied to developmental research.     

Causal models frame interpretation of mathematical equations

We offer evidence that people can construe mathematical relations as causal. The studies show that people can select the causal versions of equations and that their selections predict both what they consider most understandable and how they expect variables to influence one another. When asked to write down equations, people have a strong preference for the version that matches their causal model. Causal models serve to structure equations by determining the preferred order of variables: Causes should be on one side of an equality, and a single effect should appear on the other.     

Promoting responsible conduct: Striving for change rather than consensus

I believe that the ASBMB and the SFN, as well as many scientific, engineering, and other professional societies have taken the right first step. They have taken some responsibility for providing guidelines to their members and others working in related areas. This is how it should be. If professional guidelines are to be meaningful, they must be defined in large part by the practitioners. Yet, having agreed that we need professional societies to become involved, we now must determine the nature of that involvement. I hope that a comparison of the ASBMB and SFN documents will serve to illustrate the differences between two approaches. I cannot be sure that one is better than the other. But I do believe that we should not, cannot, avoid the details. I also believe that to affect change one needs to capture the attention of the audience and to promote active thought—discussion if possible, controversy if necessary. And change is what we need.     

TAKING PRAGMATISM SERIOUSLY: A REVIEW OF WILLIAM BAUM'S UNDERSTANDING BEHAVIORISM: BEHAVIOR,CULTURE, AND EVOLUTION (SECOND EDITION)

This important book has two main purposes. The first is to present, in a non‐technical way, accessible to intelligent laypeople, a scientific, behavioral approach to all aspects of human activity including choice, rule‐governed behavior, self control, religious belief, linguistic interaction, ethics, and culture. Its scope equals that of Skinner's nontechnical writings, but Baum's approach is more molar and more pragmatic than Skinner's. The book's second purpose is to embed behavioral science firmly in the context of Darwinian evolution. Baum is generally successful, we believe, in both of these ambitious purposes.     

Fusion First

Logics of part/whole relations frequently take parthood or proper parthood as primitive, defining the remaining mereological properties and relations in terms of them. I argue from considerations involving Weak Supplementation for the conclusion that we should take fusion as our mereological primitive. I point out that the intuitions supporting Weak Supplementation also support a stronger principle, Weak Supplementation of Pluralities, and that the principle can only do the work demanded by our intuitions when formulated in terms of a notion of fusion that cannot be defined merely in terms of mereological properties and relations, logic, and a membership relation. So, insofar as we think any definition of fusion must be so restricted, we have motivation to take fusion as primitive; further, we have greater insight into the motivation for our supplementation principle and which version of that principle we ought to endorse.     

TREATMENT INTEGRITY IN APPLIED BEHAVIOR ANALYSIS WITH CHILDREN

Functional analysis of behavior depends upon accurate measurement of both independent and dependent variables. Quantifiable and controllable operations that demonstrate these functional relationships are necessary for a science of human behavior. Failure to implement independent variables with integrity threatens the internal and external validity of experiments. A review of all applied behavior analysis studies with children as subjects that have been published in the Journal of Applied Behavior Analysis between 1980 and 1990 found that approximately 16% of these studies measured the accuracy of independent variable implementation. Two thirds of these studies did not operationally define the components of the independent variable. Specific recommendations for improving the accuracy of independent variable implementation and for defining independent variables are discussed.     

Does Philosophy Require a Weak Transcendental Approach?

Despite any shortcomings of Kant's transcendental philosophy, the spirit (rather than the letter) of Kant's approach is correct. In particular, Kant is correct to believe (1) an accurate account of the types of “access” humans possess to internal and empirical content should form the groundwork for epistemic and ethical investigation and (2) epistemic and ethical investigations cannot successfully circumvent this groundwork. In this context, the term “access” concerns the mental processes that render internal and external experience possible. In supporting the above claims, this article outlines and defends what can be considered a weak version of Kant's transcendental approach. This weaker approach does not require the achievement of synthetic a priori judgments, which permit deductive conclusions concerning possible experience (as opposed to a strong approach, which maintains these requirements).     

The Illusion of Exclusivity

It is widely held that when you are deliberating about whether to believe some proposition p, only considerations relevant to the truth of p can be taken into account as reasons bearing on whether to believe p and motivate you accordingly. This thesis of exclusivity has significance for debates about the nature of belief, about control of belief, and about certain forms of evidentialism. In this paper I distinguish a strong and a weak version of exclusivity. I provide reason to think that strong exclusivity is an illusion and that weak exclusivity may also be an illusion. I describe a number of cases in which exclusivity seems not to hold, and I show how an illusion of exclusivity may be generated by a rather different feature of doxastic deliberation, which I call demandingness.     

Measurement‐Burst Designs for Social Health Research

Questions about variability and change in human behavior lie at the heart of much research in the behavioral sciences. This commentary examines the use of the measurement‐burst design ( Nesselroade, 1991 ) as an approach to study within‐person processes that transpire over very different temporal intervals. Consisting of repeated bursts of intensive (i.e., daily or momentary) assessments, the burst design can augment the type of information obtained from conventional daily diary and prospective longitudinal designs. We describe how the measurement‐burst approach can improve detection of long‐term intraindividual change, and how it can be used to study intraindividual variability and change in fine‐grained temporal relationships between daily experiences (e.g., hassles) and psychological states (e.g., mood). Some of the difficulties of implementing and analyzing data from measurement‐burst designs are discussed.