Table-6: Model Fit Statistics of confirmatory factor analysis
for Urdu Version of PANAS (N=495).
However, this could be partly solved by iterations of factor analysis
that include the latest input data.
Rotation is a very esoteric topic in factor analysis
and has a lot of subjective interpretations, but the authors have done a good job in demystifying this topic and providing a decision tree for rotating the factors which would be quite useful for the researchers.
Thus, LDA is a particular case of factor analysis
framework when the entire weight matrix is 1 and the basis of partition is class information.
Exploratory factor analysis
(EFA) is concerned with the question of how many factors are necessary to explain the relations among a set of indicators and with the estimation of the factor loadings, whereas confirmatory factor analysis
(CFA) is concerned with parameter estimation and tests of hypotheses regarding, for example, the number of factors underlying the relations among a set of indicators (Pedhazur, Schmelkin 1991).
On the other hands, factor analysis
is suitable multivariate technique in identify and determination of independent factors that are effective on plant traits separately.
in the development and refinement of clinical assessment instruments.
In our study we have used factor analysis
for a specific purpose to identify the variables falling under two different factors representing the controls.
Use of Factor Analysis
Scores in MLRA: The appropriateness of factor analysis
was tested with Kaiser- Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's test of sphericity (Sharma, 1996).
Factor coefficients (Cik) were used to obtain factor scores for the selected factors in the factor analysis
A second order factor analysis
yielded three dimensions.
Discriminant function analysis was carried out using the food and nutrient factor scores derived through the factor analysis
to determine as to how correctly those people who were chronic energy-deficient or overweight/obese are classified.