Methods of factor analysis in research methodology
Factors are the variables in the study that we believe will influence the results.
Factors can also be called independent variables, explanatory variables, manipulator variables, or risk factors..
Methods of factor analysis in research methodology
Important types are descriptive analysis, inferential analysis, predictive analysis, prescriptive analysis, exploratory data analysis (EDA), and causal analysis.
The five basic methods are mean, standard deviation, regression, hypothesis testing, and sample size determination..
Methods of factor analysis in research methodology
The first methodology choice for factor analysis is the mathematical approach for extracting the factors from your dataset.
The most common choices are maximum likelihood (ML), principal axis factoring (PAF), and principal components analysis (PCA).
You should use either ML or PAF most of the time..
What are the factors for choosing a statistical method?
Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired)..
What is factor method of analysis?
Factor analysis is part of general linear model (GLM) and this method also assumes several assumptions: there is linear relationship, there is no multicollinearity, it includes relevant variables into analysis, and there is true correlation between variables and factors..
