An introduction to factor analysis for all students of psychology and social sciences. Paul Kline explains the basis of the method, how it can be used and what its problems and difficulties are.
The aim of this book is to provide basic knowledge of the logic and computation of statistics for the sensory evaluation of food, or for other forms of sensory measurement encountered in, say, psychophysics. The book will take you from "ground zero" into the traditional realms o…
In Australia, cross-cultural research suggests that Australian Muslims have surpassed Asians as one of the countrys most marginalised religious and ethnic groups. Muslims and people from the Middle East are thought to be unable to fit into Australia, with more than 50% of Austra…
The goal of this textbook to help readers overcome any fear of statistics, especially those mathematically unsophisticated students in behavioral sciences, social sciences, health sciences and education. How? When not obscured by mathematical treatments better reserved for more …
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Tw…
The OECD Programme for International Student Assessment (PISA) examines not just what students know in science, reading and mathematics, but what they can do with what they know. Results from PISA show educators and policy makers the quality and equity of learning outcomes achie…
This textbook begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. The book develops the students' practical …
Example-rich and experiment-driven, Genetic Analysis of Complex Traits Using SAS demonstrates how you can use SAS and SAS/Genetics to extract answers from your quantitative and molecular genetics data. The book guides you through the mix of genetic, statistical, and SAS skills t…
Principal components analysis (PCA); Other linear biplots; Multiple correspondence analysis; Canonical biplots; Nonlinear biplots; Generalized biplots; Biadditive models; Correspondence analysis (CA); Relationships between CA and MCA.
"Biplots are the multivariate analog of scatter plots, using multidimensional scaling to approximate the multivariate distribution of a sample in a few dimensions, to produce a graphical display. In addition, they superimpose representations of the variables on this display, so …