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This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this Second Edition is the ideal guide for those new to the field. The book includes:--Learning objectives, key concepts and questions for further discussion in each chapter--Helpful diagrams and screenshots to expand on concepts covered in the texts--Real life examples from a variety of disciplines to show hoe SEM is applied in real research contexts--Exercises for each chapter on an accompanying companion website--A new glossary at the end of book Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline.
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Illustrated with screenshots, cases and exercises and accompanied by a companion website containing datasets that can be easily uploaded onto SPSS and AMOS, this title keeps maths to a minimum and contains an appendix covering basic forms of statistical analysis.
51-77 --- 303 --- 681.3*G3 --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Methoden bij sociaalwetenschappelijk onderzoek --- Mathematics for behavioural and social sciences --- Amos (computerprogramma) --- Structurele vergelijkingen. --- Amos (computerprogramma). --- SPSS. --- Structural equation modeling --- Data processing. --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 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) --- Data processing --- #SBIB:303H4 --- #SBIB:303H520 --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- SPSS (Computer file) --- AMOS.
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This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS' excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. A wide variety of examples from multiple disciplines and real world contexts. Exercises for each chapter on an accompanying companion website. A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.
Structural equation modeling. --- EQS (Computer file) --- SPSS (Computer file)
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