buku ini memberikan pemahaman kepada pembaca mengenai dasar dan konsep model simulasi sebagai alat untuk analisis, pengujian, dan pencarian solusi terhadap masalah-masalah inudstri, mampu melakukan perancangan dn implementasi sistem simulasi dalam suatu kasus industri, serta meganalisis dan menginteprestasikan hasil keluaran program simulasi hasil studi kasus. pembaca diharapakan mampu mengguna…
This introductory chapter first sets out the purpose of the book, which is to serve as a concise practical guide for the informed and responsible use of structural equation modeling (SEM). It is designed for social work faculty, researchers, and doctoral students who view themselves more as substantive experts than statistical experts, but who need to use SEM in their research. It is desig…
There were two primary goals for this book. The first one was to present the recent methodological advances on integrating meta-analysis and SEM—the SEM-based meta-analysis (using SEM to conducting meta-analysis) and meta-analytic struc- tural equation modeling (conducting meta-analysis on correlation matrices for the purpose of fitting structural equation models on the pooled correlation…
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…
academics, industry, government, and individuals are confronted with an explosion of data. The data increasingly are emerging from sources such as web traffic, social networking interactions, search behavior, sensors that track suppliers, customers, and shipments, and GPS systems that monitor traffic, to name only some of the more visible sources. This trend, often referred to as the age o…