When change-oriented feedback enhances motivation,well-being and performance: A look at autonomy-supportive feedback in sport

ObjectivesChange-oriented feedback (aka negative feedback) serves two important functions: it motivates athletes and guides them towards performance improvement. However, it can also lead to negative consequences such as anxiety or a decrease in athletes' self-esteem and in the quality of the coach–athlete relationship. We propose that change-oriented feedback quality is key in predicting athletes' reaction to this type of feedback. Based on SDT, we further suggest that a high quality change-oriented feedback must be autonomy-supportive. To test this hypothesis, we first define and measure an autonomy-supportive change-oriented feedback. We then investigate the relative impact of change-oriented feedback's quantity and quality on athletes' phenomenological experiences and performance.MethodIn total, 340 athletes and 58 coaches participated in this study. Coaches and athletes filled out a questionnaire after a training session. HLM analyses were used to take into consideration the hierarchical structure of the data.ResultsHLM analyses first show that an autonomy-supportive change-oriented feedback is empathic, accompanied by choices of solutions, based on clear and attainable objectives known to athletes, avoids person-related statements, is paired with tips, and given in a considerate tone of voice. Results also show that feedback quality predicts athletes' outcomes above and beyond feedback quantity and coaches' other autonomy-supportive behaviours.ConclusionResults are discussed in light of their contribution to self-determination theory, the feedback literature and the improvement of coaches' training.     

The impact of magnitude of harm and perceived difficulty of making reparations on group‐based guilt and reparation towards victims of historical harm

The present research investigates how reading stories about past mistreatment of children who had been in institutional care affects support for reparations, perceived difficulty of reparations and group‐based guilt were investigated in two experiments. In Study 1 we showed that, when the stories increased in perceived harm, so did the perceived difficulty of making reparations whereas group‐based guilt decreased. Furthermore, both perceived difficulty of making reparations and group‐based guilt predicted support for reparation. It was suggested that these findings were due to a natural confound between the severity of harm and the difficulty of reparations. Study 2 included a direct manipulation of perceived difficulty that was intended to weaken or strengthen the ability to make reparations. This study demonstrated stronger group‐based guilt when reparations were potentially possible and not when they are impossible. Moreover, support for reparations varied as a function of perceived difficulty of reparations and group‐based guilt mediated that relationship. The research has two key implications. First, advocates of reparations as a mechanism for reconciliation and community healing need to consider the degree to which reparations are perceived to be possible and consider ways of addressing those perceptions. Second, the research provides an experimental demonstration to the power of stories about experience to bolster support for social change. Copyright © 2009 John Wiley & Sons, Ltd.     

Turbo Pascal timing routines for the IBM microcomputer family

Two Turbo Pascal (versions 3.0 and 4.0) software timers for the IBM microcomputer family are described: one with a 55-msec resolution and another with a 1-msec resolution. Both can be implemented without additional hardware requirements. The 55-msec timer makes use of the system-time-of-day clock; the 1-msec timer is a Turbo Pascal translation of the timer described by Bührer, Sparrer, and Weitkunat (1987). The logic of each timer is shown by a short demonstration program.     

HIV‐related stigma in social interactions: Approach and avoidance behaviour in a virtual environment

People living with HIV are a stigmatized group in our society, especially homosexual people living with HIV. One of the behavioural manifestations of stigmatization is an increased interpersonal distance kept during social interactions. Immersive virtual environment technology enables the experimental study of social interactions in an accurate and relatively unobtrusive manner. Using a virtual hospital room, we measured to what extent diagnosis (HIV, cancer or broken leg) and sexual orientation (homosexual or heterosexual) were related to approach behaviour (based on the interpersonal distance and the speed of approach), and the degree patients were looked at (as was obtained from an additional exploration of our head orientation data). Moreover, implicit and explicit attitudes were predicted to moderate this relationship. Participants (N = 50) were healthy, heterosexual students. A main effect of diagnosis revealed larger interpersonal distances from patients with HIV than from patients with cancer. Also, an interaction effect demonstrated that distances were largest when the HIV patient was homosexual. Furthermore, a main effect of diagnosis showed that HIV and cancer patients were approached more slowly than broken leg patients, an effect that was larger for HIV than for cancer patients. In addition, head orientation analyses revealed that patients with HIV were relatively ‘looked at’ more often as well as relatively ‘looked away from’ less often than patients with cancer and patients with a broken leg. None of these effects however were found to be moderated by implicit and explicit attitudes. These findings provide behavioural evidence for the stigmatization of people living with HIV and homosexuals with HIV in particular. Copyright © 2015 John Wiley & Sons, Ltd.     

Risk of bias in trial-based economic evaluations: Identification of sources and bias-reducing strategies

Objective: The objectives of this article are first to give an overview of the risks of bias in trial-based economic evaluations and, second, to identify how key sources for bias can be revealed and overcome (i.e. what bias-reducing strategies might be employed) in future trial-based economic evaluations in the field of health psychology.

Design: Narrative review discussing sources of bias in trial-based economic evaluations and bias-reducing strategies.

Results: We identified 11 biases and assigned them to a particular trial phase. A distinction is made between pre-trial biases, biases during the trial and biases that are relevant after the actual trial. All potential forms of bias are discussed in detail and strategies are shown to detect and overcome these biases.

Conclusion: In order to avoid bias in trial-based economic evaluations, one has to be aware of all the possible forms of bias. All stakeholders have to examine trial-based economic evaluations in a rigorous and stringent manner. This article can be helpful in this examination as it gives an overview of the possible biases which researchers should take into account.     

Word knowledge in the crowd: Measuring vocabulary size and word prevalence in a massive online experiment

We use the results of a large online experiment on word knowledge in Dutch to investigate variables influencing vocabulary size in a large population and to examine the effect of word prevalence—the percentage of a population knowing a word—as a measure of word occurrence. Nearly 300,000 participants were presented with about 70 word stimuli (selected from a list of 53,000 words) in an adapted lexical decision task. We identify age, education, and multilingualism as the most important factors influencing vocabulary size. The results suggest that the accumulation of vocabulary throughout life and in multiple languages mirrors the logarithmic growth of number of types with number of tokens observed in text corpora (Herdan's law). Moreover, the vocabulary that multilinguals acquire in related languages seems to increase their first language (L1) vocabulary size and outweighs the loss caused by decreased exposure to L1. In addition, we show that corpus word frequency and prevalence are complementary measures of word occurrence covering a broad range of language experiences. Prevalence is shown to be the strongest independent predictor of word processing times in the Dutch Lexicon Project, making it an important variable for psycholinguistic research.