RES 603- Advanced Data Management and Analysis (SCALING AND EXPLORATORY FACTOR ANALYSIS)

RES 603- Advanced Data Management and Analysis (SCALING AND EXPLORATORY FACTOR ANALYSIS)
SCALING AND EXPLORATORY FACTOR ANALYSIS
The enclosed dataset (wiscsem.sav) is an SPSS file containing the subscale scores for the Weschler Intelligence Scale for Children. The first two columns are subject
code and age. The rest include scores on different areas of the exam.

Run exploratory factor analysis (principal components, no rotation) on the data. How many meaningful factors will you retain? Interpret them and give them names.
Run exploratory factor analysis (principal components, WITH Varimax rotation) on the data. How many meaningful factors will you retain? Interpret them and give them
names.
Run exploratory factor analysis (principal components, WITH Promax rotation) on the data. How many meaningful factors will you retain? What is the correlation between
the factors? Interpret them and give them names.
SLP Assignment Expectations
Be able to run different variants of EFA
Develop critical thinking regarding EFA.

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3-2Exploratory factor analysis. . .is an interdependence technique whose primary purpose is to define the underlying structure among the variables in the analysis

3-3Exploratory Factor Analysis. . .Examines the interrelationships among a largenumber of variables and then attempts to explainthem in terms of their common underlyingdimensions.These common underlying dimensions are referredto as factors.A summarization and data reduction technique thatdoes not have independent and dependentvariables, but is an interdependence technique inwhich all variables are considered simultaneously.

 

Advanced Data Management
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