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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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LISREL. --- Sociaal-wetenschappelijk onderzoek. --- Social sciences - Statistical methods - Data processing --- Social sciences

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Structural equation modeling --- Social sciences --- Data processing. --- Statistical methods. --- #PBIB:1998.3 --- LISREL --- Sociaal-wetenschappelijk onderzoek --- LISREL. --- Sociaal-wetenschappelijk onderzoek. --- Programming --- Methods in social research (general) --- Mathematical statistics --- SEM (Structural equation modeling) --- Statistical methods --- Data processing --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- 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

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This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

Multivariate analysis. (QA278-278.7) --- Analysis of variance --- Social sciences --- Mathematical models. --- Statistical methods --- LISREL (Computer file) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- ANOVA (Analysis of variance) --- Variance analysis --- LISREL --- Civilization --- Mathematical statistics --- Experimental design --- Mathematical statistics. --- Statistics. --- Psychometrics. --- Marketing. --- Statistical Theory and Methods. --- Statistics and Computing/Statistics Programs. --- Statistics for Social Sciences, Humanities, Law. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Marketing --- Measurement --- Scaling --- Methodology --- Statistics .