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Measurement model equivalence in web- and paper-based surveys

Southern African Business Review

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Field Value
 
Title Measurement model equivalence in web- and paper-based surveys
 
Creator Martins, N
 
Subject organisational climate survey, Structural Equation Modelling, web-based surveys, paper-based surveys, measurement model equivalence
 
Description The aim of this research is to investigate whether web-basedand paper-based organisational climate surveys can be regardedas equivalent techniques of data collection. Due to the complexgeographical placement of various units of the participatingorganisation and limited internet access, both paper-based andweb-based questionnaires were used. Overall, 1295 employeesparticipated in the survey; of these, 899 used paper questionnairesand 396 used the web-based questionnaire.9Confi rmatory factor analysis (CFA) in a Structural Equation Modelling(SEM) framework was used to test the tenability of a series ofincreasingly restrictive models, using goodness-of-fi t tests.10The SurveyTracker software survey package was used for the websurvey, and SPSS with LISREL was used for the statistical analysis.Several measurement models were tested; four models showed verygood fi ts for both the web-based and paper-based surveys for fi tmeasures such as RMSEA, NFI, NNFI, PNFI CFI, IFI, RFI and BIC. Thefour path diagrams also allowed the researcher to investigate the twogroups of participants’ responses and fi t measures across diff erentaspects of the organisation, such as strategic issues (4 dimensions),human resource issues (4 dimensions), operational issues and jobsatisfaction (5 dimensions), and leadership and transformationalissues (7 dimensions).11The results indicate that hypotheses H1 to H3 are all tenable. Itcan therefore be concluded that the web-based and paper-basedsurveys can be considered equal with respect to similar factor structure, with equal factor loadings and equal variances of thefactors and equal covariances between the factors. The results maytherefore be combined in a single analysis without compromisingmeasurement validity.
 
Publisher College of Economic and Management Sciences (UNISA)
 
Contributor —
 
Date 2012-05-11
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ajol.info/index.php/sabr/article/view/76384
 
Source Southern African Business Review; Vol 14, No 3 (2010)
1998-8125
1561-896X
 
Language eng
 
Relation https://www.ajol.info/index.php/sabr/article/view/76384/66841
 
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