How do reinforcers affect choice? Preference pulses after responses and reinforcers

In concurrent schedules, reinforcers are often followed by a brief period of heightened preference for the just‐productive alternative. Such ‘preference pulses’ may reflect local effects of reinforcers on choice. However, similar pulses may occur after nonreinforced responses, suggesting that pulses after reinforcers are partly unrelated to reinforcer effects. McLean, Grace, Pitts, and Hughes (2014) recommended subtracting preference pulses after responses from preference pulses after reinforcers, to construct residual pulses that represent only reinforcer effects. Thus, a reanalysis of existing choice data is necessary to determine whether changes in choice after reinforcers in previous experiments were actually related to reinforcers. In the present paper, we reanalyzed data from choice experiments in which reinforcers served different functions. We compared local choice, mean visit length, and visit‐length distributions after reinforcers and after nonreinforced responses. Our reanalysis demonstrated the utility of McLean et al.'s preference‐pulse correction for determining the effects of reinforcers on choice. However, visit analyses revealed that residual pulses may not accurately represent reinforcer effects, and reinforcer effects were clearer in visit analyses than in local‐choice analyses. The best way to determine the effects of reinforcers on choice may be to conduct visit analyses in addition to local‐choice analyses.     

Do Community Characteristics Relate to Young Adult College Students’ Credit Card Debt? The Hypothesized Role of Collective Institutional Efficacy

This study examines the extent of emergent, outstanding credit card debt among young adult college students and investigates whether any associations existed between this credit card debt and the characteristics of the communities in which these students grew up or lived. Using data (N = 748) from a longitudinal survey and merging community characteristics measured at the zip code level, we confirmed that a community's unemployment rate, average total debt, average credit score, and number of bank branch offices were associated with a young adult college student's acquisition and accumulation of credit card debt. For example, a community's higher unemployment rate and lower number of bank branches were associated with a young adult college student's greater accumulated debt. Community characteristics had the strongest associations with credit card debt, especially after controlling for individual characteristics (i.e., a young adult college student's race and financial independence) and familial characteristics (i.e., their parents’ income and parents’ discussions of financial matters while growing up at home). The findings may help to understand the unique roles that communities play in shaping children and young adults’ financial capability, and how communities can be better capacitated to support the financial goals of their residents.