Multiple regression in change management research

Kromah, M. D., Ayoko, O. B. and Ashkanasy, N. M. (2013). Multiple regression in change management research. In: Gillian Yeo, Aleksandra Luksyte and Guy Curtis, 10th Industrial and Organisational Psychology Conference: Submitted Abstracts. IOP 2013: 10th Industrial and Organisational Psychology Conference, Perth, WA, Australia, (24-24). 3-6 July, 2013.

Author Kromah, M. D.
Ayoko, O. B.
Ashkanasy, N. M.
Title of paper Multiple regression in change management research
Conference name IOP 2013: 10th Industrial and Organisational Psychology Conference
Conference location Perth, WA, Australia
Conference dates 3-6 July, 2013
Proceedings title 10th Industrial and Organisational Psychology Conference: Submitted Abstracts
Publisher Australian Psychological Society
Publication Year 2013
Sub-type Published abstract
Open Access Status
Editor Gillian Yeo
Aleksandra Luksyte
Guy Curtis
Start page 24
End page 24
Total pages 1
Language eng
Formatted Abstract/Summary
In two studies, we focus on the use of multiple regression in change management research. In Study 1, based on the review of 37 published articles from 2000-2012, we explored variation in the use of multiple regression and its influence on effect size from one study to the next. We used hierarchical regression analysis to determine the extent to which characteristics of the studies reviewed predicted current practices in research journals. Results demonstrated that study characteristics (temporal, technique, data and general setting) were positively related to current thinking and practices in change management research. Based on our results in Study 1, we explored in Study 2 whether or not the effect size of hypothesized relationships between individual and organizational factors and employees’ reactions to change were consistent across studies. In particular, we used Meta-analysis Software to compute the effect size for each study in the meta-analysis (n = 26) and to estimate the magnitude of effect size for all studies combined. Results showed that studies estimated the same true effect size. Additionally, our analysis confirmed that the true effect size did not vary from study to study. Implications of our results are discussed for theory, research and practice.
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Authors prepub title: "Change management research: The use of multiple regressions in change literature and implications for future research".

Document type: Conference Paper
Collection: UQ Business School Publications
 
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Created: Tue, 15 Apr 2014, 10:33:23 EST by Susan Peeters on behalf of UQ Business School