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.
Factor analysis 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.
