A measurement model to analyze the effect of agile enterprise architecture on geographically distributed agile development

Journal of Software Engineering Research and Development

Table 6 Factor Analysis of Reflective Constructs

	Component
Construct Items	1	2	3	4	5	6
Communication efficiency
EFFIC1	0.854	0.294	0.222	−0.120	−0.024	0.100
EFFIC2	0.796	0.355	0.301	−0.051	0.001	−0.093
EFFIC3	0.791	0.224	0.151	−0.448	−0.082	0.075
EFFIC4	0.816	0.167	− 0.014	− 0.212	0.070	− 0.189
EFFIC5	0.855	0.143	0.068	− 0.006	− 0.078	− 0.187
Communication effectiveness
EFFECT1	− 0.458	0.698	0.193	0.012	0.299	−0.177
EFFECT2	−0.355	0.698	0.056	−0.107	0.500	−0.090
EFFECT3	−0.195	0.826	−0.130	−0.278	0.023	0.267
EFFECT4	−0.466	0.592	0.255	−0.357	0.189	0.250
On-Time completion
TIME1	0.138	0.095	0.120	0.357	0.813	0.192
TIME2	0.178	0.034	0.319	0.314	0.818	0.125
In-Budget completion
BUDGT1	0.248	0.160	−0.363	0.402	−0.002	0.668
BUDGT2	−0.096	0.240	−0.185	0.047	−0.156	0.819
Functionality
FUNC1	−0.235	−0.257	0.193	0.712	0.309	0.287
FUNC2	−0.362	−0.328	0.202	0.625	0.402	−0.184
FUNC3	−0.059	−0.325	0.197	0.667	0.475	−0.160
Quality
QLTY1	−0.082	−0.123	0.809	−0.342	− 0.178	−0.018
QLTY2	0.156	0.032	0.773	−0.366	0.172	−0.287
QLTY3	−0.204	0.176	0.740	−0.345	−0.258	− 0.045
Eigenvalue	3.971	2.989	2.352	2.279	1.874	1.625
Variance Extracted	26.887	20.613	13.258	13.004	6.525	4.476
Cumulative Variance (%)	26.887	47.500	60.759	73.763	80.288	84.764
Unrotated Variance (%)	34.439	30.079	6.946	5.569	4.481	3.250