PDF Archive

Easily share your PDF documents with your contacts, on the Web and Social Networks.

Share a file Manage my documents Convert Recover PDF Search Help Contact



Exploratory factor analysis (EFA) Sample paper.pdf


Preview of PDF document exploratory-factor-analysis-efa-sample-paper.pdf

Page 1 2 3 4 5 6

Text preview


Exploratory factor analysis (EFA)
Exploratory factor analysis (EFA) is a statistical technique used to reduce data to a
smaller set of summary variables and to explore the theoretical structure of the phenomena. In
order to determine underlying dimensions of multi-item measurement scales used in this study,
principal components analysis with varimax rotation using SPSS 20.0 was performed for all
constructs in the analysis: Tangibility, Assurance, Empathy, Reliability and Responsiveness.
Minimum eigenvalues of 1.0 were used to determine the number of factors for each scale and
with loading above 0.40 on a single factor was retained. Initially, the factorability of 27 items
was examined.
Exploratory factor analysis (EFA) is a statistical technique used to reduce data to a smaller set of summary variables and
to explore the theoretical structure of the phenomena. In order to determine underlying dimensions of multi-item
measurement scales used in this study, Table

Component
Functional
quality items Factor 1 Factor 2
Tangibility
TG5
.875
TG4
.871
TG2
.848
TG7
.838
TG1
.833
TG3
.826
Assurance
AS1
.977
AS4
.975
AS6
.949
AS3
.946
AS5
.935
Empathy
EM6
EM3
EM5
EM4
EM1
Reliability
RL6
RL1

1: Rotated factor loadings for functional quality (n=43)
% variance
explained
Factor 3 Factor 4 Factor 5

64.25

81.96

.819
.774
.759
.746
.718

87.87

.745
.736

© 2017-2018 All Rights Reserved, No part of this document should be modied/used without prior consent Statswork™ - Your
trusted mentor since 2001 I www.statswork.com
UK: The Portergate, Ecclesall Road, She-eld, S11 8NX I UK # +44-1143520021, Info@statswork.com