Buku ini terdiri dari empat bab dengan isi masing-masing bab sebagai berikut : Bab I berisi teori membicarakan teknik-eknik analisis multivariat. Bab 2 mendiskusikan tentang prosedur penggunaan SPSS Bab 3 berisi konsep-konsep dasar yang melandasi penggunaan perangkat lunak SPSS Bab 4 berisi contoh-contoh perhitungan menggunakan komputer untuk teknik analisis multivariat
Statistik adalah kesimpulan fakta berebentuk angka yang disusun dalam bentuk daftar tabel yang menggambarkan suatu persoalan. Statistik juga dipakai untuk menyatakan ukuran sebagai wakil dari kumpulan fakta mengenai suatu hal, misalnya nilai rata-rata siswa, rata-rata hasil penjualan, persentase keuangan, ramalan hasil, dan sebagainya. Ciri khas atau karakteristik pokok statistik adalah statist…
Statistik adalah kesimpulan fakta berebentuk angka yang disusun dalam bentuk daftar tabel yang menggambarkan suatu persoalan. Statistik juga dipakai untuk menyatakan ukuran sebagai wakil dari kumpulan fakta mengenai suatu hal, misalnya nilai rata-rata siswa, rata-rata hasil penjualan, persentase keuangan, ramalan hasil, dan sebagainya. Ciri khas atau karakteristik pokok statistik adalah statist…
This text was developed over many years while teaching the graduate course in mul- tivariate analysis in the Department of Statistics, University of Illinois at Urbana- Champaign. Its goal is to teach the basic mathematical grounding that Ph. D. stu- dents need for future research, as well as cover the important multivariate techniques useful to statisticians in general.
This edition has several major changes, and I would like to mention those first. There are two new chapters (15 and 16) on two very important topics. Chapter 15 on the Hierarchical Linear Model was written by Dr. Natasha Beretvas of the University of Texas at Austin. This model deals with correlated observations, which occur very fre quently in social science research. The general linear …
This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The multivariate statistical methods covered in this text are factorial analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariat…
Structural equation modeling (SEM) is a general, cross-sectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion on the common types o…
This edition, like previous editions, is written for those who use, rather than develop, advanced statistical methods. The focus is on conceptual understanding rather than proving results. The narrative and many examples are there to promote understanding, and a chapter on matrix algebra is included for those who need the extra help. Through- out the book, you will find output from SPSS (ve…