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Toote nr:
183906001
Multivariate Applications Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming, (Hardcover)
Toote nr:
183906001
€ 249
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This practical guide reviews the basic concepts and applications of SEM using Mplus, written for the novice SEM user.
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What Stands Out
Comprehensive Guide
Offers an in-depth exploration of structural equation modeling, equipping readers with foundational concepts and advanced applications necessary for effective research in various fields.
User-Friendly Programming
Utilizes Mplus software, promoting easier programming and implementation of complex statistical models, ensuring that users can effectively apply their knowledge without extensive coding experience.
Practical Examples
Includes real-world case studies and examples, which enhance understanding and application of multivariate techniques, allowing readers to relate theoretical concepts to practical research scenarios.
Toote üksikasjad
- Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author walks the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available under Supplementary Material below The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.
| Manual & guide type | Instruction Manual |
| Book format | Hardcover |
| Edition | 1 |
| Skill level | Beginner, Intermediate |
| Pages | 432 |
| Language | English |
| Brand | Barbara M Byrne |
| Pub date | 2011-07-28 |
| Author | Barbara M Byrne |
| Genre | Textbooks |
| Bisac subject heading | Education |
| Series title | Multivariate Applications |
| Height | 9 in (22.86 cm) |
| Educational level | College |
| Age group | Adult |
| Original languages | English |
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Graduate Students
Ideal for graduate students in psychology, education, or social sciences learning advanced statistical analysis techniques.
-
Research Professionals
Supports researchers needing in-depth knowledge of structural equation modeling for analyzing complex data relationships in their work.
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Statistical Analysts
Beneficial for statistical analysts seeking to apply Mplus for multivariate data analysis and improve their programming skills.
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Beginners in Statistics
May overwhelm users new to statistics or research methodology due to its advanced focus on structural equation modeling.
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€ 249
Kui tellid kohe, saad toote kätte Kolmapäev, Oktoober 21
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Omadused ja eelised
- Comprehensive guide to Structural Equation Modeling (SEM) using Mplus.
- Written for novice users with non-mathematical language.
- Includes actual data applications from the author's research.
- Covers all steps in testing SEM models with annotated explanations.
- Ideal for graduate courses in various disciplines including psychology and business.
- Supplementary materials available such as data and syntax files.
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