9 research outputs found

    Profile and Predictors of Voluntary Civic Engagement at a Private University in Egypt

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    This study explored the characteristics and predictors of university student voluntary civic engagement. It was conducted at a private university in Egypt, a developing country where student volunteerism has the potential to significantly impact community development efforts. A total of 518 students responded to the study. Consistent with previous literature, students who chose to participate in community service clubs were more likely to be female and religious. They moreover reported greater commitment to civic service as well as pride and commitment to the university. Results suggested that volunteers fit an “Egyptianized” profile with characteristics including: Egyptian nationality, Muslim religion, attending a high-school located in a less privileged rural governorate, graduating from an Egyptian public school system, being more religious, and speaking more Arabic than English socially. Levels of depression did not differ between volunteers and non-volunteers; however, volunteers reported higher anxiety. Suggestions for future research are offered and findings are discussed in terms of their significance for community practice nationally, regionally and globally

    Profile and Predictors of Voluntary Civic Engagement at a Private University in Egypt

    Get PDF
    This study explored the characteristics and predictors of university student voluntary civic engagement. It was conducted at a private university in Egypt, a developing country where student volunteerism has the potential to significantly impact community development efforts. A total of 518 students responded to the study. Consistent with previous literature, students who chose to participate in community service clubs were more likely to be female and religious. They moreover reported greater commitment to civic service as well as pride and commitment to the university. Results suggested that volunteers fit an “Egyptianized” profile with characteristics including: Egyptian nationality, Muslim religion, attending a high-school located in a less privileged rural governorate, graduating from an Egyptian public school system, being more religious, and speaking more Arabic than English socially. Levels of depression did not differ between volunteers and non-volunteers; however, volunteers reported higher anxiety. Suggestions for future research are offered and findings are discussed in terms of their significance for community practice nationally, regionally and globally

    The Confidence Database

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    Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects

    Threat expectation does not improve perceptual discrimination despite causing heightened priority processing in the frontoparietal network

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    Data and code for paper entitled: "Threat expectation does not improve perceptual discrimination despite causing heightened priority processing in the frontoparietal network.

    The impact of feedback on perceptual decision making and metacognition: Reduction in bias but no change in sensitivity

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    It is widely believed that feedback improves behavior but the mechanisms behind this improvement remain unclear. Different theories postulate that feedback has either a direct effect on performance through automatic reinforcement mechanisms or only an indirect effect mediated by a deliberate change in strategy. To adjudicate between these two competing accounts, we performed a large-scale study including 443 subjects; approximately half of them received trial-by-trial feedback on a perceptual task, while the other half did not receive such feedback. We found that feedback had no effect on either perceptual or metacognitive sensitivity. On the other hand, feedback significantly affected subjects’ response strategies by reducing bias and improving calibration in both the perceptual and metacognitive judgments. These results strongly support the view that feedback does not improve behavior through direct reinforcement mechanisms but that its beneficial effects stem from allowing people to adjust their strategies for performing the task

    Impact of feedback on perceptual decision making and metacognition

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    Data and code for paper titled "The impact of feedback on perceptual decision making and metacognition: Reduction in bias but no change in sensitivity

    Trial-by-trial feedback does not improve performance or metacognition in a large-sample perceptual task

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    The Confidence Database

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    Understanding how people rate their confidence is critical for characterizing a wide range of perceptual, memory, motor, and cognitive processes. However, as in many other fields, progress has been slowed by the difficulty of collecting new data and the unavailability of existing data. To address this issue, we created a large database of confidence studies spanning a broad set of paradigms, participant populations, and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analyzed in multiple software packages. Each dataset is further accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (available at osf.io/s46pr) contained 145 datasets with data from over 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. We show the usefulness of this large collection of datasets in four different analyses that provide precise estimation for several foundational confidence-related effects and lead to new findings that depend on the availability of large quantity of data. This Confidence Database will continue to enable new discoveries and can serve as a blueprint for similar databases in related fields
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