Evaluation of a perceived organisational performance scale using Rasch model analysis
AbstractIncreasingly, researchers are using perceptual or subjective measures of organisational performance, but our review of the literature reveals that these measures are rarely validated. We introduce Rasch model analysis to the management field and apply it to a psychometric analysis of an organisational performance scale developed in 1996 by Delaney and Huselid. Although this scale has been widely used, the present work is the first substantial investigation of its psychometric properties. The results of Rasch model analysis reveal that the original hypothesised two-factor structure was not supported but a revised three-factor structure with good psychometric properties that reflect internal, external and market performance was supported. Evidence for construct validity was found for internal and market performance subscales but not for external performance. This paper presents an important methodological advance for management research by demonstrating the evaluation of the psychometric properties of this scale through Rasch model analysis. The findings expand our understanding of the underlying structure of organisational performance and have implications for a wider application of Rasch model analysis in the management field.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Australian School of Business in its journal Australian Journal of Management.
Volume (Year): 37 (2012)
Issue (Month): 3 (December)
Contact details of provider:
Web page: http://www.agsm.edu.au
Perceived organisational performance scale; Rasch model analysis; validity;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.