Basarnas员工职业倦怠的自我调节

Itryah, Haries Kurnianto
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引用次数: 0

摘要

本研究旨在探讨南苏门答腊Basarnas公司员工的自我调节与职业倦怠之间的关系。本研究的自变量为自我调节,因变量为职业倦怠。研究对象是分布在苏门答腊南部的Basarnas员工,共447人。基于错误率为5%的Isaac和Michael公式,得到139人的总体。本研究采用定量方法。本研究采用的抽样技术是简单随机抽样。本研究使用的测量工具是自我调节行为量表和倦怠量表。自我调节量表为60项,信度为0.585;倦怠量表为60项,信度为0.765。数据效度采用人的积矩(r)相关技术与可靠性包的输出系统,数据信度采用Cronbach alpha技术,借助于IBM SPSS程序版本21.00。采用IBM SPSS 21.00软件进行数据分析,得到R = 0.600, (R2) = 0.361, p = 0.000,其中p < 0.01。因此,研究结果表明,在苏门答腊岛南部的Basarnas公司员工中,自我调节与职业倦怠之间存在非常显著的关系。根据分析结果,自我调节和职业倦怠的贡献值为R²= 0.361或36.1%,因此还有63.9%的贡献值受到本研究未涉及的其他因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Regulation with Burnout of Basarnas Employees
This study aims to find out and explain empirically the relationship between self-regulation and burnout in Basarnas employees in Southern Sumatera. The independent variable in this study is self-regulation, and the dependent variable in this study is burnout. The population in this study were Basarnas employees spread across the southern part of Sumatera, totaling 447 people. Based on the Isaac and Michael formula with an error rate of 5%, a population of 139 people is obtained. This research uses quantitative methods. The sampling technique used in this study is simple random sampling. The measuring tools used in this study are the self-regulatory behavior scale and the burnout scale. The self-regulation scale is 60 items with a reliability of 0.585 and the burnout scale is 60 items with a reliability of 0.765. Data validity used the person's product moment (r) correlation technique with the output system of a reliability package, and data reliability used the Cronbach alpha technique with the help of the IBM SPSS program version 21.00. Based on the results of data analysis using the IBM SPSS program version 21.00, the results obtained were a coefficient of R = 0.600 with a value of (R2) = 0.361 and p = 0.000 where p < 0.01. So, the result is a very significant relationship between self-regulation and burnout in Basarnas employees in southern Sumatra. Based on the results of the analysis, the value of the contribution given by self-regulation and burnout is R² = 0.361 or 36.1% so there is still another 63.9% which is influenced by other factors not involved in this study.
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