here - ERIM - Erasmus Universiteit Rotterdam

A validation Study of House of Quality key performance indicators
The scree plot and eigenvalues provided by SPSS, indicate a composition of four factors. After
deciding the number of factors, the communality values were inspected. A communality (hi2) = % of
variance in xi explained by the factor model. When a communality value of a variable is relative low
(.414.
The Varimax rotation procedure was used to select variables into factors. The varimax rotation
procedure is an orthogonal method of rotation (axes are maintained at right angles) that minimizes
the number of variables with high loading factors on a factor thereby enhancing the interpretability
of the factor (Malhotra & Birks, 2004).
Component
1 2 3 4
Up-to-date information ,807
Reliability of information ,796
Offering relevant information ,728
Member involvement on development ,481
Interaction between Union and members ,425 ,500
Interaction between members ,674
Involvement third parties ,604
Recognizing needs of the members ,461
Perception of solidarity ,499
Opportunity of physical meetings ,721
Opportunity of virtual meetings ,779
Members in the same position ,639
Good representation of interests ,641
Perception of safety and protection ,509 ,656
Influence of online union ,756
Intelligibility objectives and services ,507
Offering effective support ,646
Reliability and quality of services ,556
Professional presentation ,511 ,632
Good online facilities ,777
Accessibility of information ,608
Custom-made services ,658
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a Rotation converged in 6 iterations.
Table 6 - Rotated component matrix
Factor analysis, as presented in Table 6 indicates four factors which collectively explained 58,7% of
the variance in all items. Based on the exploratory investigations of phase I, the original model (
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