New Generation Processing Data Research and Partial Least …, Mandai

New Generation Processing Research Data with Partial Least Square Path Modeling
Author: Sofyan Yamin | Heri Kurniawan

YEAR: 2011

Number of Pages: 256

Imprint: Salemba Infotek

Dimensions: 16 cm x 24 cm x 0 cm

This book discusses how to process research data. The case study is a measurement of relationships or influences between contracts/variables whose data collection process is carried out through a questionnaire. If the theoretical foundation of the intervariable relationship is strong, then the use of Lisrel-based structural equation modeling (SEM) method is appropriate. However, if the theoretical basis submitted is about the intervariable relationship which is still tentative and shifts to a prediction goal, then the use of the particular least square path modeling method (PLS¬-PM) is more suitable. This method is a powerful method which is Widely used in scientific research and international journals. Professor ClaesFornell from Michigan University called it the second generation of multivariate analysis. The partial least square path modeling method is able to evaluate validity, reliability, as well as significance of relationships or influences between contracts/variables inspired by researchers simultaneously. The author tries to open a new vehicle in analyzing research data with particular least square. New Generation Book Processing Research Data with Partial Least Square Path Modeling Application with XLSTAT, SmartPLS and Visual PLS Software is tutorial and pure applicable. However, basic concepts or reference theories are explained simply. The presentation of the contents of the book is explained in stages. Readers will be guided with examples that are easy to understand. The Model used as an example is taken from several journals or scientific research which is adapted as practice to make it easier for readers. The software is practical, simple and easy to operate. There are three software used in this book to process partial data, least square path modeling, namely XLSTAT, SmartPLS, and Visual PLS. The author explains clearly how to operate each software and interpret the analysis results. As an appreciation for the author's work in compiling this book, it would be wise for us not to duplicate/copy the contents of the book without the permission of the author or publisher. Hopefully this book can be useful for readers.

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