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Factor analysis is an important part of statistics that is used to thoroughly investigate the variable relationships for various concepts like socioeconomic status, dietary patterns, and psychological scales. The factor analysis is used to reduce a myriad of variables into a very less number of factors. We have a team of experts who hold Masters and PhDs in statistics to write factor analysis assignments without compromising on the quality and deadline. Our team will be available round the clock to offer the required assistance for the students. They write all sorts of assignments flawlessly. In addition to the statistics concepts, our experts are well versed with statistical tools like SAS, SPSS, and R. They leverage their knowledge to offer best-in-class Factor Analysis assignment help.
This factor analysis is carried out to analyze the structure of the statistical data thoroughly. This also offers you the components on which data can be rated easily. In addition, this totally reduces the data. For instance, if there are 500 entries that you got in the economist results, you can reduce the data based on key traits like size, manner, and location. In the factor analysis, the maximum common variance that one would get us through all the variables and then it is put in a common score. The factor analysis would be coming under the General Linear Model (GLM). Submit your assignment now to get the instant SPSS Factor analysis homework help
The following are the types of factor analysis that are used:
Factor analysis has multiple applications when it comes to data analysis and classification.
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Communalities | Principal component analysis |
Kaiser-Meyer-Olkin (KMO) Test | Bartlett’s Test |
Scree Plot | Component (Factor) Matrix |
Rotated Component (Factor) Matrix | Reproduced and Residual Correlation Matrices |
Nonorthogonal (Oblique) Rotation | Factor scores |
Unit-Weighted Factor Scores | Cronbach’s Alpha |
Comparing Two Groups’ Factor Structure | Required Number of Subjects and Variables |
Exploratory factor analysis | Confirmatory factor analysis |
Kaiser – Guttam rule | Scree plot |
Interpretability of factors | Prior hypotheses |