- Subject index
Bridging an understanding of Statistics and SPSS.
“The text is written in a user-friendly language and illustrates concepts that would otherwise be confusing to beginning students and those with limited computer skills.”
-Justice Mbizo, University of West Florida
This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of ...
Chapter 13: Factor and Components Analysis
Factor and Components Analysis
Conceptual Background of the Factor Analysis
Factor analysis and its cousin, principal components analysis, are part of a family of statistical techniques that has been around for more than 100 years. Although both procedures have been used for multiple purposes, perhaps the main application of principal components analysis is data reduction. Components analysis is frequently applied when a researcher has a larger number of continuously measured variables (typically, psychological test scores), and he or she wants to summarize those variables in terms of a smaller number of linear composites called “components.” In ...