000			02134nam a22002417a 4500
005			20250627124730.0
008			250627b |||||||| |||| 00| 0 eng d
020			_a9781032431239
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB288 R4 _qCSL
100			_aChen, Ding-Geng _eauthor. _9432315
245			_aStructural Equation Modeling Using R/SAS _b: A Step-by-Step Approach with Real Data Analysis
260			_aBoca Raton : _bCRC Press/Taylor & Francis, _c2024.
300			_axix, 407p. _b: ill. _c; 24 cm.
500			_aIncludes bibliography and index.
520			_aThere has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided, using a compilation of a variety of publicly available data, to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling, especially in using R and SAS. It is useful for applied statisticians, data scientists and practitioners, applied statistical analysts and scientists in public health, and academic researchers and graduate students in statistics, whilst also being of use to R&D professionals/practitioners in industry and governmental agencies.
650			_aLatent variables. _9814827
650			_aMediation analysis. _9814828
650			_aStructural equation. _9814829
700			_a Yung, Yiu-Fai _eco-author. _9814830
942			_2CC _cTEXL _hB288 R4 _n0
999			_c1433070 _d1433070