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Emphasizing substantive issues rather than intricate statistical details, this book provides a comprehensive introduction to LISREL for structural equation modeling (SEM) using a non-technical, user-oriented approach that. The emphasis is on: - exposing the reader to the major steps associated with the formulation and testing of a model under the LISREL framework - describing the key decisions associated with each step - highlighting potential problems and limitations associated with LISREL modeling - assisting the interpretation of LISREL input and output files. The overall aim is to provide a critical understanding of what is really involved in LISREL modeling and sensitize the reader against 'mechanically' fitting or modifying models. The entire range of decisions associated with the practical application of the LISREL program is covered in a user-friendly fashion. Concrete examples are used throughout to illustrate issues relating to model conceptualization, specification, identification, estimation, evaluation, modification, and cross-validation and illustrated with actual program output. The program is made much more accessible by adopting the more user-friendly SIMPLIS command language for preparing input files. Although primarily aimed at beginning users, readers are directed to further reading together with a comprehensive bibliography for the more advanced user.

Mathematical statistics --- Social sciences --- Statistical methods --- Data processing. --- LISREL (Computer file) --- #SBIB:303H4 --- Informatica in de sociale wetenschappen --- LISREL. --- Data processing --- LISREL

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Introducing Lisrel provides a comprehensive introduction to Lisrel for structural equation modeling using a non-technical user-friendly approach. It shows the major steps associated with the formulation and testing of a model.

Social sciences --- Statistical methods --- Data processing. --- Lisrel (Computer file)

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519.2 --- Social sciences --- -#WWIS:STAT --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Methodology --- Methodology. --- Statistical methods. --- #WWIS:STAT --- Statistical methods --- LISREL. --- LISREL --- Quantitative methods in social research --- Mathematical statistics --- LISREL (Computer file) --- Sciences sociales --- Méthodes statistiques --- Méthodologie --- #SBIB:303H10 --- Methoden en technieken: algemene handboeken en reeksen --- Social sciences - Statistical methods --- Social sciences - Methodology

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Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis.

Structural equation modeling --- Social sciences --- Data processing --- Statistical methods --- Mplus --- LISREL (Computer file) --- Mplus. --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Data processing. --- Statistical methods. --- LISREL --- Structural equation modeling - Data processing --- Social sciences - Statistical methods

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Mathematical statistics --- 681.3*G3 --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Social sciences --- Structural equation modeling --- Statistical methods. --- Data processing. --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Statistical methods --- Data processing --- LISREL. --- LISREL