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The present studies examined whether priming distinct motivational states influenced persistence at a task designed to promote repeated failure, and post-task plans for engaging in self-regulatory activity. Two double-blind, between-subject experiments (Study 1: N = 58; Study 2: N = 92) involved participants being randomized to Autonomous Motivation, Controlling Motivation, or Neutral prime conditions using a scrambled-sentence test. Participants then attempted an impossible persistence task that promoted repeated failure. Following, participants reported their plans to engage in exercise. Using frequentist and Bayesian analyses, Study 1, Study 2, and an internal meta-analysis showed no differences in persistence or planned exercise across priming conditions, thus contrasting with previous research. Unanticipated moderation effects or motivational priming effects being smaller than those inputted into a priori power analyses may be the most likely reasons for these findings., Author(s): Stephen L. Murphy [sup.1] , Ian M. Taylor [sup.2] Author Affiliations: (1) grid.5570.7, 0000 0004 0490 981X, Department of Social Psychology, Faculty of Psychology, Ruhr-University Bochum, , Universitätsstraße 150, [...]

The aim of the present study was to investigate a think aloud protocol as a novel way to measure indicators of self-control during acts of physical persistence. Using a within-person design, 35 participants (9 males, 26 females) completed two wall-sit persistence tasks, one employing a think aloud protocol, and the other silent. A two-way mixed ANOVA found no significant differences in persistence between conditions, indicating that using the think aloud protocol during the wall-sit did not have a significant effect on persistence. Think aloud scripts of 34 participants (one participant's script was inadmissible) revealed that all participants verbalized negative affect, an essential characteristic of a desire-goal conflict. Thirty-two participants (94%) verbalized conflict resolution strategies. A multiple linear regression found that the length of time from the beginning of the task to the first verbalization of negative affect positively predicted persistence on the wall-sit task ([beta] =0.61; p < 0.001), but the length of time to the first verbalization of conflict resolution did not ([beta] =0.16; p =0.30). This indicates that the time at which negative affect is initially verbalized is a reliable predictor of persistence. The study supports the use of the think aloud protocol in postural persistence tests and other simple physical tasks and supports the possibility that verbalization of negative affect may be an indicator of the initiation of a desire-goal conflict.

Education-based interventions traditionally focus on the teacher to better support pupils' motivation. Grounded in self-determination theory, the study investigates the feasibility of a pupil-focused intervention to help pupils become more active in their search for basic psychological need satisfaction (BPNS). Focus groups and a 2-week pupil completed diary-log were administered with 22 UK secondary school pupils from Years 7 and 8 (aged 11-13 years; 45% male, 55% female) and 12 teachers (42% male, 58% female). Despite perceived value from teachers, a written diary-log appeared to be ineffective in engaging pupils. Pupil-focused initiatives may benefit from support sessions to provide guidance on pupils' reflections, should be incorporated into normal school practices with a showcase event, and be designed in an interactive electronic format. The study offers theoretical considerations regarding pupils' intrapsychic experience of motivation, and provides teacher and pupil insights into the practicalities of conducting pupil-focused interventions based upon BPNS.

Record linkage is the task of combining records from multiple files which refer to overlapping sets of entities when there is no unique identifying field. In streaming record linkage, files arrive sequentially in time and estimates of links are updated after the arrival of each file. This problem arises in settings such as longitudinal surveys, electronic health records, and online events databases, among others. The challenge in streaming record linkage is to efficiently update parameter estimates as new data arrive. We approach the problem from a Bayesian perspective with estimates calculated from posterior samples of parameters and present methods for updating link estimates after the arrival of a new file that are faster than fitting a joint model with each new data file. In this article, we generalize a two-file Bayesian Fellegi-Sunter model to the multi-file case and propose two methods to perform streaming updates. We examine the effect of prior distribution on the resulting linkage accuracy as well as the computational tradeoffs between the methods when compared to a Gibbs sampler through simulated and real-world survey panel data. We achieve near-equivalent posterior inference at a small fraction of the compute time. for this article are available online. [ABSTRACT FROM AUTHOR]

Abstract--The National Marine Fisheries Service conducts fishery stock assessments to provide the best scientific information available for the U.S. regional fishery management councils. The assessment models applied in the United [...]