Principal Components Analysis (Quantitative Applications in the Social Sciences)
Product Description
Principal Components Analysis (Quantitative Applications in the Social Sciences)
<p>For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizing the use of matrix algebra -- the reader can quickly master and put this technique to immediate use. </p>
Technical Specifications
You might also like
Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)
Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research
Mediation Analysis (Quantitative Applications in the Social Sciences)
Cluster Analysis (Quantitative Applications in the Social Sciences)
Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
Matrix Algebra: An Introduction (Quantitative Applications in the Social Sciences)
Multidimensional Scaling (Quantitative Applications in the Social Sciences)
Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)
Discriminant Analysis (Quantitative Applications in the Social Sciences)