Two ways of learning associations

How people learn chunks or associations between adjacent items in sequences was modelled. Two previously successful models of how people learn artificial grammars were contrasted: the CCN, a network version of the competitive chunker of Servan‐Schreiber and Anderson [J. Exp. Psychol.: Learn. Mem. Cogn. 16 (1990) 592], which produces local and compositionally‐structured chunk representations acquired incrementally; and the simple recurrent network (SRN) of Elman [Cogn. Sci. 14 (1990) 179], which acquires distributed representations through error correction. The models' susceptibility to two types of interference was determined: prediction conflicts, in which a given letter can predict two other letters that appear next with an unequal frequency; and retroactive interference, in which the prediction made by a letter changes in the second half of training. The predictions of the models were determined by exploring parameter space and seeing howdensely different regions of the space of possible experimental outcomes were populated by model outcomes. For both types of interference, human data fell squarely in regions characteristic of CCN performance but not characteristic of SRN performance.     

Factor structure of the Treatment Evaluation Inventory: Implications for measurement of treatment acceptability

The Treatment Evaluation Inventory (TEI), a frequently used measure of treatment acceptability, was used by 164 undergraduates to rate the acceptability of each of the following treatments: differential reinforcement of other behavior, exclusionary time-out, overcorrection, medical restraint, contingent electric shock, and physical restraint. TEI ratings of each treatment type were grouped separately, variance-covariance matrices were formed and compared, and data were subjected to factor analysis. The results indicated that the factor structure of the TEI varied with the treatment it was used to evaluate. Item analysis of the TEI indicated a high degree of internal consistency, although item-total correlations varied between rated treatments. The findings suggest that although the TEI is a reliable instrument, sensitive assessment of the treatment acceptability construct probably requires multidimensional measurement.     

Charting the process of change: A primer on survival analysis

Survival analysis is a powerful and useful technique for understanding qualitative change. This article provides a practical, nontechnical introduction to the use of survival analysis for social scientists. Important issues in using survival analysis are discussed, including research design, data preparation and management, and data analysis. Attendance data from a self-helf organization are used to illustrate common survival analysis tasks such as describing the overall survival and hazard functions, examining covariate effects, and modeling the form of the hazard function over time. An appendix that discusses the strengths and weaknesses of current survival analysis computer programs is included. Editor's note: Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology.I thank William Davidson, Susan Englund, Bruce Rapkin, Kurt Ribisl, and three anonymous reviewers for their helpful comments on earlier drafts. The example data presented here were collected with the support of an NIMH grant (MH37390) awarded to Julian Rappaport and Ed Seidman.     

Setting phenotypes in a mutual help organization: Expanding behavior setting theory

Expands Barker's theory of behavior settings by proposing an additional method of classifying settings based on their functional/behavioral aspects--the setting phenotype. Although behavior setting theory has been widely hailed as a revolutionary contribution to behavioral science, it has had limited impact on general psychology. This may be due in part to a reliance on a purely structural method of classifying behavior settings--the setting genotype. Behavioral data were collected from 510 meetings of 13 self-help groups from a mutual help organization for persons with problems in living. A cluster analysis was performed to uncover meaningful behavioral patterns among the groups. Four phenotypes were identified: personal, impersonal, small talk, and advising. Mutual help group phenotype was found to be related to a set of setting characteristics as well as to overall rated change of group members. The results are discussed in light of the significance of the phenotype construct for making behavior setting theory more relevant for social scientists.     

Can Robert Adams Survive Moral Twin Earth?

Richard Boyd and Robert Adams have both developed semantic accounts of moral terms based on Hilary Putnam's causal regulation theory for natural kind terms, according to which the terms in question refer to the properties which predominantly causally regulated the terms. However, Terence Horgan and Mark Timmons have mounted an objection to Boyd's semantics—their Moral Twin Earth argument. If this argument is successful against Boyd then it might be thought that it should also be successful against Adams, given the similarity between their semantic accounts. I will argue in this essay that Adams's semantics is sufficiently different from Boyd's to enable him to survive Moral Twin Earth, but that he is vulnerable to a modified version of Moral Twin Earth that I describe.     

Death by 1000 ‘true fans’: Do marketing laws apply to music listening?

The advice to musicians and marketers is to focus on what they love: a truism for practitioners is to find 1000 ‘true fans’ and make $100 from each of them (Kelly, 2008. 1000 True fans. The Technium). If this advice is correct, we should see musicians with loyal user bases engaging more with their favourite artists and less with other music, suggesting a narrow targeting strategy would suffice. On the other hand, the established marketing laws indicate that the listeners of very different genres should overlap more than conventional wisdom would suggest, supporting the need for a much broader approach to targeting potential audiences. Given these conflicting views, musicians need to know if they should market to their existing listeners, the listeners of music similar to theirs (i.e., the same genre), or if they should try to reach a much wider audience. We turn to established choice patterns from the marketing literature to address these questions in the music context. This study examines 84,000,000 observations of music listening from 27,000 unique global users between 2013 and 2014 and survey data from 2019 containing music listening from over 1000 representative respondents in the United States. The results show that listening follows the Duplication of Purchase law for genres, artists, albums, and songs, at an annual, 6-months, 3-months, 1-month, and 1-week period, with no indication of partitioned music listening. The implication is that musicians should try to reach all potential listeners, regardless of what they already listen to. These findings contribute to the theoretical knowledge about duplication analyses of various durations, extend the contexts of choice behaviour that exhibit this pattern, and managerially, to knowledge about the extent of potential audiences and ‘share of ear’ competition.     

Enhancing feedback and improving feedback: subjective perceptions,psychological consequences,behavioral outcomes

Three experiments examined subjective perceptions, psychological consequences, and behavioral outcomes of enhancing versus improving feedback. Across experiments, feedback delivery and assessment were sequential (i.e., at each testing juncture) or cumulative (i.e., at the end of the testing session). Although enhancing feedback was seen as more satisfying than useful, and improving feedback was not seen as more useful than satisfying, perceptions differed as a function of short‐term versus long‐term feedback delivery and assessment. Overall, however, enhancing feedback was more impactful psychologically and behaviorally. Enhancing feedback engendered greater success consistency, overall satisfaction and usefulness, optimism, state self‐esteem, perceived ability, and test persistence intentions; improving feedback, on the other hand, engendered greater state improvement. The findings provide fodder for theory development and applications.