22 research outputs found

    Dryad_Experiment_4

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    Data for Experiments 4A-4C

    Dryad_Experiment_1

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    Data for Experiment 1A-1E. Collected in the lab. Created in microsoft excel

    Dryad_Experiment_2

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    Covers Experiments 2A-2C. Collected in the lab. Created in Microsoft Excel

    Dryad_Experiment_3

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    Covers Experiments 3A and 3B. Collected in the lab. Created in Microsoft excel

    Data from: Attraction to and learning from social cues in fruitfly larvae

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    We examined the use of social information in fruitfly larvae, which represent an ideal model system owing to their robust learning abilities, small number of neurons and well-studied neurogenetics. Focal larvae showed attraction to the distinct odour emanating from food occupied by other larvae. In controlled learning experiments, focal larvae preferred novel odours previously paired with food occupied by other larvae over novel odours previously paired with unoccupied food. When we gave groups of larvae a choice between food patches differing in quality, more larvae aggregated on the higher-quality food, suggesting that attraction to and learning about cues associated with other larvae can be beneficial. Furthermore, larvae were more likely to find the best available food patch in trials when that food patch was occupied by other larvae than in trials when that food patch was unoccupied. Our data suggest, however, that the benefits from joining others may be at least partially offset by the fitness costs of increased competition, because larvae reared in isolation did as well as or better than larvae reared in groups on three key fitness parameters: developmental rate, survival rate and adult dry body mass. Our work establishes fruitfly larvae as a highly tractable model species for further research on the mechanisms that modulate behaviour and learning in a social context

    Dryad_Experiment_3

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    Covers Experiments 3A and 3B. Collected in the lab. Created in Microsoft excel

    Dryad_Experiment_2

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    Covers Experiments 2A-2C. Collected in the lab. Created in Microsoft Excel

    Dryad_Experiment_1

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    Data for Experiment 1A-1E. Collected in the lab. Created in microsoft excel

    Measuring the bright side of being blue: a new tool for assessing analytical rumination in depression.

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    BACKGROUND: Diagnosis and management of depression occurs frequently in the primary care setting. Current diagnostic and management of treatment practices across clinical populations focus on eliminating signs and symptoms of depression. However, there is debate that some interventions may pathologize normal, adaptive responses to stressors. Analytical rumination (AR) is an example of an adaptive response of depression that is characterized by enhanced cognitive function to help an individual focus on, analyze, and solve problems. To date, research on AR has been hampered by the lack of theoretically-derived and psychometrically sound instruments. This study developed and tested a clinically meaningful measure of AR. METHODS: Using expert panels and an extensive literature review, we developed a conceptual framework for AR and 22 candidate items. Items were field tested to 579 young adults; 140 of whom completed the items at a second time point. We used Rasch measurement methods to construct and test the item set; and traditional psychometric analyses to compare items to existing rating scales. RESULTS: Data were high quality (0.81; evidence for divergent validity). Evidence of misfit for 2 items suggested that a 20-item scale with 4-point response categories best captured the concept of AR, fitting the Rasch model (Ο‡2β€Š=β€Š95.26; dfβ€Š=β€Š76, pβ€Š=β€Š0.07), with high reliability (rpβ€Š=β€Š0.86), ordered response scale structure, and no item bias (gender, age, time). CONCLUSION: Our study provides evidence for a 20-item Analytical Rumination Questionnaire (ARQ) that can be used to quantify AR in adults who experience symptoms of depression. The ARQ is psychometrically robust and a clinically useful tool for the assessment and improvement of depression in the primary care setting. Future work is needed to establish the validity of this measure in people with major depression
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