1. ABOUT THE DATASET -------------------- Title: Longitudinal Stressor-Performance Relationship among Construction Workers Creator(s): Yuting Du[1] and Apollo Tutesigensi[1] Organisation(s): 1.University of Leeds Rights-holder(s):Unless otherwise stated, Copyright 2024 University of Leeds Publication Year: 2024 Description: The dataset focused on the stressors and job performance among construction workers in longitudinal lens. Data were collected from five participants (construction workers) over a period of eight weeks. Participants self-reported daily about stressors and job performance. The scale ranged from 100 to 500, where “100” represented strong disagreement, “300” indicated uncertainty, and “500” represented strong agreement. This criteria allowed for more granular responses compared to traditional Likert scales. Cite as: Yuting Du and Apollo Tutesigensi (2024) Dataset for 'Longitudinal Stressor-Performance Relationship among Construction Workers'. University of Leeds. [Dataset] https://doi.org/10.5518/1622 Related publication: Authors: Yuting Du and Apollo Tutesigensi; Title: Decoding Stress-Performance Dynamics: A VAR-based Longitudinal Study with Construction Workers; Status at time of deposit: In preparation. Contact: cn23yd@leeds.ac.uk Personal email: duyuting123@126.com 2. TERMS OF USE --------------- Copyright [2024] [University of Leeds]. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Decoding Stressor-Performance Dynamics: A VAR-based Longitudinal Study with Construction Workers Dates: 2024/6/27-2024/8/27 Funding organisation: This dataset was not created in the course of a funded project Grant no.:This dataset was not created in the course of a funded project 4. CONTENTS ----------- File listing File 1: Data on Stressors and Job Performance The file includes the description of variables (stressors and job performance), day number, participant code and scores of each item on stressors and job performance, a total of 247 rows. The file is in xlsx format, which can be opened in Microsoft Excel and SPSS. 5. METHODS ---------- The dataset was generated from JISC Online survey website (https://onlinesurveys.jisc.ac.uk/). Participants were required to self-reported daily about their stressors and job performance over 8 weeks (2024/6/27-2024/8/27).