The Implicit Relational Assessment Procedure (Irap) As a Response-Time and Event-Related-Potentials Methodology for Testing Natural Verbal Relations: A Preliminary Study

Lesbian and Heterosexual Women's Implicit Responses to Gender Figures

This study explored how heterosexual and lesbian women differ in their implicit sexual responses. Previous research indicates that heterosexual women have physiological and implicit responses to both genders, whereas lesbian women show stronger responses to their preferred gender. This study used two implicit measures: the Implicit Relational Assessment Procedure (IRAP) and the Function Acquisition Speed Test (FAST), both of which were novel in this context. We recruited 33 heterosexual and 25 lesbian women. Both IRAP and FAST were successful in differentiating the two sexual orientations as a group. The results confirmed that heterosexual women exhibit positive responses to both genders, while lesbian women show stronger, category-specific responses to their preferred gender. These findings align with previous research and provide further insight into the nuanced differences in sexual orientation responses among women.

Recent Developments in RFT Encourage Interbehavioral Field-Based Views of Human Language and Cognition: A Preliminary Analysis

Relational frame theory (RFT) as a behavior-analytic approach to understanding human language and cognition is now over 40 years old. However, the last 8 years have seen a relatively intense period of empirical and conceptual developments within the theory. Some of this work has begun to draw on early and much underplayed features of RFT, including field-theoretical analyses and concepts. These analyses are relatively nascent and thus the current article aims to provide a relatively detailed example of a field-theoretical analysis of a specific RFT research program. We begin with a brief overview of the "traditional" RFT approach to human language and cognition, followed by a summary of recent research involving the implicit relational assessment procedure (IRAP) and the differential arbitrarily applicable relational responding effects (DAARRE) model. We then go on to consider the DAARRE model in the context of J. R. Kantor's interbehavioral formula for the psychological event. Having done so, we conclude that the challenge involved in analyzing increasingly complex forms of human language and cognition appears to call for more field-based theorizing in some form or another.

Lexicon-Based Sentiment Analysis in Behavioral Research

A complete science of human behavior requires a comprehensive account of the verbal behavior those humans exhibit. Existing behavioral theories of such verbal behavior have produced compelling insight into language's underlying function, but the expansive program of research those theories deserve has unfortunately been slow to develop. We argue that the status quo's manually implemented and study-specific coding systems are too resource intensive to be worthwhile for most behavior analysts. These high input costs in turn discourage research on verbal behavior overall. We propose lexicon-based sentiment analysis as a more modern and efficient approach to the study of human verbal products, especially naturally occurring ones (e.g., psychotherapy transcripts, social media posts). In the present discussion, we introduce the reader to principles of sentiment analysis, highlighting its usefulness as a behavior analytic tool for the study of verbal behavior. We conclude with an outline of approaches for handling some of the more complex forms of speech, like negation, sarcasm, and speculation. The appendix also provides a worked example of how sentiment analysis could be applied to existing questions in behavior analysis, complete with code that readers can incorporate into their own work.

How to Build and How not to Build an Implicit Measure in Behavior Analysis: A case Study Using the Function Acquisition Speed Test

This article provides a comprehensive overview of the development of a behavior-analytic alternative to the popular implicit association test (IAT), namely, the function acquisition speed test (FAST). The IAT appears, prima facia, to indirectly assess participants' learning histories with regard to the categorization of stimuli. However, its origin within cognitive psychology has rendered it replete with mentalism, conceptual ambiguity, statistical arbitrariness, and confounding procedural artifacts. The most popular behavioral alternative to the IAT, the widely used implicit relational assessment procedure (IRAP), has inherited many of these concerning artifacts. In this article, we present a behavior-analytic critique of both the IAT and IRAP, and argue that a behavior-analytic approach to implicit measures must have stimulus control front and center in its analysis. We then outline a series of early research studies that provided the basis for a potentially superior procedure within our field. We go on to outline how this early research was harnessed in stepwise research, guided by a strict adherence to traditional behavior-analytic methods for the analysis of stimulus relations, to increasingly modify a test format fit for the behavior analyst interested in assessing stimulus relatedness.

The IRAP as a Measure of Implicit Cognition: A Case of Frankenstein’s Monster

The implicit relational assessment procedure (IRAP) was initially developed as a way to assess the strength and probability of natural verbal relations, as defined within relational frame theory (RFT), and was conceptually rooted within the behavior-analytic tradition. However, the IRAP quickly became employed primarily as a measure of implicit cognition, more in line with mainstream psychology than behavior analysis. In doing so, research using the IRAP increasingly employed ill-defined mainstream psychological terms, focused on correlational analyses with traditional psychometry, and thus emphasized prediction over the prediction-and-influence of behavior. Although perhaps beneficial to the study of implicit cognition, this approach could be argued to have limited the IRAP's utility in behavior analyses of human language and cognition. In the current article we will reflect on this suggestion, on the IRAPs place and current use in the field of behavior analysis, and on its potential future within behavioral psychology in light of recent conceptual and empirical advances in RFT. In doing so, it is hoped that the measure may be refined into a better understood, more precise, functional-analytic tool.

Relational frame theory 20 years on: The Odysseus voyage and beyond

The seminal text on relational frame theory (RFT) was published 20 years ago and purported to offer a single overarching behavior-analytic account of human language and cognition. In the years thereafter, an increasing number of empirical and conceptual articles, book chapters in edited volumes, and whole volumes devoted to the account emerged. In recent years, RFT has experienced a period of intense empirical and conceptual development, facilitated in part by a research grant awarded by the Flanders Science Foundation, under its Odysseus program. This research program aimed to advance and extend the RFT account beyond the rendition presented in the seminal Hayes et al. (2001) volume. The current article aims to provide an overview of this research program, the empirical work and concepts it gave rise to, and their implications for an RFT account of human symbolic language and cognition. Overall, therefore, the article provides an account of relatively recent developments in RFT that extend beyond the 2001 volume and thus will, we hope, inform future research and critiques of the theory going forward.

Relational Density Theory: Nonlinearity of Equivalence Relating Examined through Higher-Order Volumetric-Mass-Density

We propose relational density theory, as an integration of stimulus equivalence and behavioral momentum theory, to predict the nonlinearity of equivalence responding of verbal humans. Consistent with Newtonian classical mechanics, the theory posits that equivalence networks will demonstrate the higher order properties of density, volume, and mass. That is, networks containing more relations (volume) that are stronger (density) will be more resistant to change (i.e., contain greater mass; mass = volume * density). Data from several equivalence experiments that are not easily interpreted through existing accounts are described in terms of the theory, generating predictable results in most cases. In addition, we put forward the higher-order properties of relational acceleration and gravity, which follow directly from the theory and may inspire future researchers to evaluate the seemingly self-organizing nature of human cognition. Finally, we conclude by describing avenues for real-world translation, considering past research interpreted through relational density theory, and call for basic experimental research to validate and extend core theoretical assumptions.

Derived Stimulus Relations and Their Role in a Behavior-Analytic Account of Human Language and Cognition

This article describes how the study of derived stimulus relations has provided the basis for a behavior-analytic approach to the study of human language and cognition in purely functional-analytic terms, with a focus on basic rather than applied research. The article begins with a brief history of the early behavior-analytic approach to human language and cognition, focusing on Skinner's (1957) text Verbal Behavior, his subsequent introduction of the concept of instructional control (Skinner, 1966), and Sidman's (1994) seminal research on stimulus equivalence relations. The article then considers how the concept of derived stimulus relations, as conceptualized within relational frame theory (Hayes et al., 2001), allowed researchers to refine and extend the functional approach to language and cognition in multiple ways. Finally, the article considers some recent conceptual and empirical developments that highlight how the concept of derived stimulus relations continues to play a key role in the behavior-analytic study of human language and cognition, particularly implicit cognition. In general, the article aims to provide a particular perspective on how the study of derived stimulus relations has facilitated and enhanced the behavior analysis of human language and cognition, particularly over the past 25-30 years.

Theories of cognitive distortions in sexual offending: what the current research tells us

Cognitive distortions in sex offenders are specific or general beliefs/attitudes that violate commonly accepted norms of rationality that have been shown to be associated with the onset and maintenance of sexual offending. In this article, we describe the major theories that have been formulated to explain the role of distorted cognition in initiating and maintaining sexual offending. We evaluate each theory in light of a set of theory appraisal criteria and the available empirical research. Finally, we conclude by drawing together the results of this theory evaluation process and highlight the major implications for treatment and future research.

Using behavior-analytic implicit tests to assess sexual interests among normal and sex-offender populations

BACKGROUND

The development of implicit tests for measuring biases and behavioral predispositions is a recent development within psychology. While such tests are usually researched within a social-cognitive paradigm, behavioral researchers have also begun to view these tests as potential tests of conditioning histories, including in the sexual domain.

OBJECTIVE

The objective of this paper is to illustrate the utility of a behavioral approach to implicit testing and means by which implicit tests can be built to the standards of behavioral psychologists.

DESIGN

Research findings illustrating the short history of implicit testing within the experimental analysis of behavior are reviewed. Relevant parallel and overlapping research findings from the field of social cognition and on the Implicit Association Test are also outlined.

RESULTS

New preliminary data obtained with both normal and sex offender populations are described in order to illustrate how behavior-analytically conceived implicit tests may have potential as investigative tools for assessing histories of sexual arousal conditioning and derived stimulus associations.

CONCLUSION

It is concluded that popular implicit tests are likely sensitive to conditioned and derived stimulus associations in the history of the test-taker rather than 'unconscious cognitions', per se.

Measures of attentional bias and relational responding are associated with behavioral treatment outcome for cocaine dependence

BACKGROUND

Psychosocial interventions for substance dependence have demonstrated efficacy. However, the mechanisms by which specific intervention strategies exert their effect have not been clearly identified.

OBJECTIVE

This study investigated the prospective relationships between two psychological processes, an attentional bias toward cocaine stimuli and beliefs about the consequences of cocaine use, and treatment outcome.

METHOD

Twenty-five cocaine-dependent participants enrolled in a 6-month outpatient treatment program that included voucher incentives for abstinence. All participants were asked to complete two implicit assessment procedures, a Drug Stroop protocol and an Implicit Relational Assessment Procedure (IRAP), as well as explicit measures of cocaine craving and the consequences of cocaine use, prior to beginning treatment. Pearson's correlation coefficients tested the prospective relationships between treatment outcome and the implicit and explicit assessments.

RESULTS

Stronger implicit beliefs about the positive effects of cocaine use prior to treatment were associated with poorer treatment outcome when an escalating voucher-incentive program was in place. Further, an attentional bias for cocaine-related stimuli was associated with better treatment outcome when an escalating voucher-incentive program was removed. No association between cocaine use beliefs and treatment outcome was found when beliefs were measured with self-report instruments.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

These findings highlight the potential utility of performance-based measures for delineating the psychological mechanisms associated with variation in response to treatment for drug dependence.