NDLI: A causal relationship model of ICT project managers' competencies: A multi-group analysis

Content Provider	IEEE Xplore Digital Library
Author	Wiangnak, V. Lekcharoen, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Technol., Rangsit Univ., Pathumthani, Thailand (Wiangnak, V.; Lekcharoen, S.)
Abstract	This study applies competency theory to project management. The purpose of this study is to test for multi-group invariance of ICT project managers' competencies across two groups (low and high experience). The baseline model consisted of four latent variables: knowledge areas, technical and managerial skill, personal attributes, and efficiency of project management. The survey sample consisted of 335 project managers in companies within the ICT (Thailand) industry. SEM was used to analyze the causal relationship model; SPSS was employed for descriptive statistics. The baseline models were considered optimal for representing the data for low $(χ^{2}$ = 114.15; df = 124; p = 0.73; GFI = 0.93; CFI = 1.00; RMSEA = 0.00; $R^{2}$ = 0.77) and high $(χ^{2}$ = 140.50; df = 124; p = 0.15; GFI = 0.92; CFI = 0.99; RMSEA = 0.02; $R^{2}$ = 0.84) experience groups. The results for the overall model show that all indicators used to form the low and high experience models complied with goodness-of-fit criteria. The adjusted models were consistent with the empirical data. A summary of fit indices for five nested models for the multi-group analysis showed that the baseline model did not lead to a statistically significant change in the model fit. Thus, (1) the causal structural relationships model separately in each group (low and high experience) were consistent with the empirical data; (2) the baseline model complied with the criteria for goodness-of-fit and supported across the samples for both groups; (3) the chi-square test differences demonstrated the invariance of the factor loading, the regression weights among the latent variables, the variances of the latent variables, the variances of the structural latent variables, and the measurement residuals across the two groups; (4) a causal relationship model of ICT project managers' competencies fits the data equally well for the low and high experience samples; and (5) the assumption of an equivalent factor structure was supported across the low and high experience groups. Implications of the findings are discussed, and further studies are suggested.
Starting Page	1
Ending Page	6
File Size	1399348
Page Count	6
File Format	PDF
e-ISBN	9781479979615
DOI	10.1109/ECTICon.2015.7207109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weight measurement competency Project management competencies PMBOK multigroup ICT project manager Analytical models Loading invariance Planning Load modeling Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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