Understanding the experience of stressors: The use of sequential analysis for exploring the patterns between various work stressors and strain

作者
Linda Trenberth,Philip J. Dewe
出处
期刊:Work & Stress [Taylor & Francis]
卷期号:20 (3): 191-209 被引量:16
标识
DOI:10.1080/02678370600999944
摘要

The availability of traditional self-report instruments for measuring work stressors may have diverted attention from exploring the way in which different stressors relate to one another. In order to develop a better understanding of the nature of the stressor experience a study was undertaken to explore the stressor–strain relationship using sequential tree analysis, a stepwise procedure that provides a “visual display” of the patterns and associations between stressors and strains. The study employed a sample of 695 principals and deputy principal teachers of secondary schools in New Zealand, who received a questionnaire measuring stressors and strains. SPSS AnswerTree® (version 2.0.1) was used to identify the patterns of association. The patterns of stressors that emerge from this analysis were used in a didactic or illustrative way to identify issues of measurement that may need to be resolved in order to derive a better understanding of the stressor experience. Different stressor patterns were associated with different levels of, but lower levels of strain were not simply the obverse of those stressors that cause higher levels of strain. Two not mutually exclusive issues emerge from the results, suggesting that stressor measurement practices may need to be reviewed. The first includes structural level issues such as considering the number, type, and potency of different stressors. The second includes issues best described as conditions of association. These concern understanding why different stressor patterns form, the relationship between stressors in those patterns, and the potency of patterns.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
123完成签到 ,获得积分10
1秒前
2秒前
3秒前
sssss发布了新的文献求助10
4秒前
初景的应助被koko采纳,获得20
5秒前
6秒前
7秒前
道生完成签到,获得积分10
8秒前
毛毛羽完成签到,获得积分10
9秒前
毛学腾发布了新的文献求助30
9秒前
Jelly发布了新的文献求助10
9秒前
小狗不是抠脚兵完成签到,获得积分10
10秒前
10秒前
思源的应助被棱棱采纳,获得10
10秒前
xelloss完成签到,获得积分10
10秒前
冷艳的紫的应助被Adzuki0812采纳,获得10
11秒前
zhangxin发布了新的文献求助10
11秒前
12秒前
鼠来宝关注了科研通微信公众号
12秒前
毛毛羽发布了新的文献求助10
13秒前
14秒前
英俊的铭的应助被明理乐儿采纳,获得10
14秒前
Jelly完成签到,获得积分10
14秒前
Jasper的应助被小航2025采纳,获得10
14秒前
蓝天发布了新的文献求助10
14秒前
英姑的应助被lilili采纳,获得10
15秒前
miracle完成签到 ,获得积分10
15秒前
蔡榕发布了新的文献求助10
16秒前
17秒前
17秒前
lime完成签到,获得积分20
17秒前
小马甲的应助被袁青寒采纳,获得10
18秒前
19秒前
木槿昔年发布了新的文献求助150
19秒前
20秒前
慕青的应助被袁青寒采纳,获得10
20秒前
见路不走发布了新的文献求助10
21秒前
NexusExplorer的应助被yh采纳,获得10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7990711
求助须知:如何正确求助?哪些是违规求助? 9446948
关于积分的说明 21109139
捐赠科研通 7563965
什么是DOI,文献DOI怎么找? 3378271
关于科研通互助平台的介绍 2512215
邀请新用户注册赠送积分活动 2411902