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all_apps_wide_2023-06-11(2).csv (2.31 MB)
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DataAnalysis_Paper3_v3.Rmd (43.64 kB)
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goal&feedbackExperiment_2023-06-11.csv

Version 2 2024-05-05, 04:43
Version 1 2024-05-05, 04:37
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posted on 2024-05-05, 04:43 authored by Aida ShamsAida Shams

In my dissertation, I explored the interplay between queue configuration and server performance, with the aim to identify the underlying mechanisms driving distinct behaviors.

In the second lab experiment of my thesis, I examine servers' perceptions of goal characteristics and feedback levels within different queue configurations. My findings indicate that, provided social loafing is controlled, there is no significant performance difference between servers in shared and dedicated queues in terms of work rate and persistence. However, dedicated queues foster an environment conducive to more specific goal-setting and improved perception of feedback, which can enhance performance by empowering servers to devise smarter strategies to accomplish their tasks.

This file is the raw data for my second experiment. This is the csv file from M-turk. The other file is my code in R to analyse the dataset.

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