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


Table 10: CFA for First-order Model for dimensions of functional quality (FNQ),
Technical quality (TEQ) and corporate quality

EM
AS
RE
RL
TG
OS
TA
IM

<--<--<--<--<--<--<--<---

FNQ
FNQ
FNQ
FNQ
FNQ
TEQ
TEQ
e8

Unstandardized
coefficients
1.000
0.837
1.597
3.190
0.346
1.000
0.200
1.000

S.E.
0.205
0.358
0.556
0.102
0.053

Standardized
coefficients
0.310
0.303
0.451
0.893
0.226
0.972
0.228
0.822

P value
<0.001**
<0.001**
<0.001**
<0.001**
<0.001**

Note: 1. ** Denotes significant at 1% level
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,
into the model. The fit indices show a model is a good fit as the factors are found to be
significant at the p<0.05 (Table 11). The model fit, which was assessed using global fit (seven
different fit indices) and „r‟ to identify the degree to which the hypothesized model is consistent
with the data in hand. In other words, the degree to which the implicit matrix of co variances,
(based on the hypothesized model), and the sample covariance matrix, based on data it seems to
© 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