Behavior analysis and social constructionism: some points of contact and departure

Social constructionists occasionally single out behavior analysis as the field of psychology that most closely resembles the natural sciences in its commitment to empiricism, and accuses it of suffering from many of the limitations to science identified by the postmodernist movement (e.g., K. J. Gergen, 1985a; Soyland, 1994). Indeed, behavior analysis is a natural science in many respects. However, it also shares with social constructionism important epistemological features such as a rejection of mentalism, a functional-analytic approach to language, the use of interpretive methodologies, and a reflexive stance on analysis. The current paper outlines briefly the key tenets of the behavior-analytic and social constructionist perspectives before examining a number of commonalties between these approaches. The paper aims to show that far from being a nemesis to social constructionism, behavior analysis may in fact be its close ally.     

The Contemporary Anti-Immigrant Environment and Latin American-origin Adolescents’ Perceived Futures: A Phenomenographic Content Analysis

Journal of Child and Family Studies - Increasing xenophobia may have negative impacts on how Latin American-origin adolescents in the U.S. perceive the future for themselves and their families....     

Public Attitudes on the Ethics of Deceptively Planting False Memories to Motivate Healthy Behavior

Researchers have proposed that planting false memories could have positive behavioral consequences. The idea of deceptively planting ‘beneficial’ false memories outside of the laboratory raises important ethical questions, but how might the general public appraise this moral dilemma? In two studies, participants from the USA and UK read about a fictional ‘false‐memory therapy’ that led people to adopt healthy behaviors. Participants then reported their attitudes toward the acceptability of this therapy, via scale‐rating (both studies) and open‐text (study 2) responses. The data revealed highly divergent responses to this contentious issue, ranging from abject horror to unqualified enthusiasm. Moreover, the responses shed light on conditions that participants believed would make the therapy less or more ethical. Whether or not deceptively planting memories outside the lab could ever be justifiable, these studies add valuable evidence to scientific and societal debates on neuroethics, whose relevance to memory science is increasingly acute. Copyright © 2016 The Authors Applied Cognitive Psychology Published by John Wiley & Sons Ltd.     

Values and the scientific culture of behavior analysis

As scientists and practitioners, behavior analysts must make frequent decisions that affect many lives. Scientific principles have been our guide as we work to promote effective action across a broad spectrum of cultural practices. Yet scientific principles alone may not be sufficient to guide our decision making in cases with potentially conflicting outcomes. In such cases, values function as guides to work through ethical conflicts. We will examine two ethical systems, radical behaviorism and functional contextualism, from which to consider the role of values in behavior analysis, and discuss potential concerns. Finally, we propose philosophical pragmatism, focusing on John Dewey's notions of community and dialogue, as a tradition that can help behavior analysts to integrate talk about values and scientific practices in ethical decision making.     

A reply to Cling’s “The epistemic regress problem”

Andrew Cling presents a new version of the epistemic regress problem, and argues that intuitionist foundationalism, social contextualism, holistic coherentism, and infinitism fail to solve it. Cling??s discussion is quite instructive, and deserving of careful consideration. But, I argue, Cling??s discussion is not in all respects decisive. I argue that Cling??s dilemma argument against holistic coherentism fails.     

A Behavior Analytically Modified Implicit Association Test for Measuring Sexual Categorization of Children

The Psychological Record - The current study assessed the sexual categorization of children among a random sample of adults from the general population. Twenty-seven males and 27 females (N = 54)...     

Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure

Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for the actual data. PA takes into account sampling error, and at present it is widely considered the best available method. We introduce a variant of PA that goes even further by reproducing the observed correlation matrix rather than generating random data. Comparison data (CD) with known factorial structure are first generated using 1 factor, and then the number of factors is increased until the reproduction of the observed eigenvalues fails to improve significantly. We evaluated the performance of PA, CD with known factorial structure, and 7 other techniques in a simulation study spanning a wide range of challenging data conditions. In terms of accuracy and robustness across data conditions, the CD technique outperformed all other methods, including a nontrivial superiority to PA. We provide program code to implement the CD technique, which requires no more specialized knowledge or skills than performing PA.