This book is designed to introduce students to the basics of structural equation modeling through a conceptual, nonmathematical approach. The few mathematical formulas included are used in a conceptual or illustrative nature, rather than a computational one. The book features examples from LISREL and EQS. For that reason, the book can also be used as a beginning guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. Intended as an introduction for graduate students or researchers in psychology, education, business, and other applied social and health sciences. The only prerequisite is a basic statistics course.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
This book is designed to introduce students to the basics of structural equation modeling through a conceptual, nonmathematical approach. The few mathematical formulas included are used in a conceptual or illustrative nature, rather than a computational one. The book features examples from LISREL and EQS. For that reason, the book can also be used as a beginning guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. Intended as an introduction for graduate students or researchers in psychology, education, business, and other applied social and health sciences. The only prerequisite is a basic statistics course.
This text is designed to introduce students to the basics of structural equation modelling (SEM) through a conceptual, non-mathematical approach. The few mathematical formulae included are used in a conceptual or illustrative nature, rather than a computational one. It focuses particularly on the basic concepts. Although the methods for conducting SEM analyses are independent of any software programme, the book features examples illustrated using the two most widely circulated programmes - LISREL and EQS. For that reason, it can also be used as an introductory guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programmes. Intended as an introduction for graduate students or researchers in psychology, education, business and other applied social and health sciences taking a course in strucutural education modelling, the only prerequisite is a basic statistics course including regression analysis. The text frequently parallels aspects of SEM with regression, so this prior knowledge is important.
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