Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dyn…
This book presents a basic introduction to structural equation modeling (SEM). Readers will find that we have followed our tradition of keeping examples rudi- mentary and easy to follow. The reader is provided with a review of correlation and covariance, followed by multiple regression, path, and factor analysis in order to better understand the building blocks of SEM. We then describe the …
his is the fourth edition of the book Multivariate Statistical Methods: a Primer. The contents are similar to what was in the third edition of the book, with the main difference being the introduction of R code to do all of the analyses in the fourth edition. The version of R used for running the R-scripts (and the corresponding packages) is R 3.3.1. Also, the results obtained with the R c…
Statistical power analysis has revolutionized the ways in which behavioral and social scientists plan, conduct, and evaluate their research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications as software catches up with theory.
Buku pemodelan persamaan struktural (SEM) dari Barbara Byrne ini meninjau konsep dasar dan aplikasi SEM menggunakan Mplus Versi 5 & 6. Penulis meninjau aplikasi SEM berdasarkan data aktual yang diambil dari penelitiannya sendiri. Menggunakan bahasa non-matematika, ini ditulis untuk pengguna SEM pemula. Dengan setiap bab aplikasi, penulis "menuntun" pembaca melalui semua langkah yang terlibat da…