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"Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (http://crmda.ku.edu/guilford/little) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan)."--Publisher's website"

"The new edition's expanded use of applications makes this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged for the more advanced SEM models."

"Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi motivasi orang bersepeda dengan menggunakan Structural Equation Modeling (SEM). Pengambilan data dilakukan kepada para pesepeda sebagai responden. Faktor-faktor yang digunakan dalam penelitian ini adalah kebutuhan (person need), kebijakan pemerintah (government), infrastruktur (private infrastructure), karakteristik individu (individual characteristic), komunitas (community), dan lingkungan (environment). Hasil penelitian menunjukkan bahwa faktor-faktor yang terbukti mempengaruhi motivasi orang bersepeda secara positif adalah kebutuhan (person need), kebijakan pemerintah (government), komunitas (community), dan lingkungan (environment). Sedangkan faktor infrastruktur (private infrastructure) dan karakteristik individu (individual characteristic) tidak berpengaruh terhadap motivasi bersepeda.

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The purpose of this research is to identify factors that influence motivation of cycling by using Structural Equation Modeling (SEM). The data is taken from bikers as respondens. Factors used in this research are person need, government's policy, private infrastructure, individual characteristic, community, dan environment.

The result of the research shows that factors person need, government policy, community and environment have positively influence motivation of cycling. While, private infrastructure and individual characteristic have no influence to the motivation of cycling."

"Abstract:Describes the fundamentals, practices, and applications of protein crystallography. This textbook also describes mathematical and physical concepts. It distills key concepts for understanding the practice and analysis of protein crystal structures and contains examples of biologically-relevant molecules, complexes, and drug target structures"