Higher-Order Growth Curves and Mixture Modeling with Mplus
eBook - ePub

Higher-Order Growth Curves and Mixture Modeling with Mplus

A Practical Guide

  1. 326 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Higher-Order Growth Curves and Mixture Modeling with Mplus

A Practical Guide

Book details
Table of contents
Citations

About This Book

This practical introduction to second-order and growth mixture models using M plus introduces simple and complex techniques through incremental steps.

The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, M plus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book's datasets are available on the web.

New to this edition:

* Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using the M plus program. Complete with exercises, answer keys, and downloadable data files.

* Updated illustrative examples using M plus 8.0 include conceptual figures, M plus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data.

This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behavioral sciences.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Higher-Order Growth Curves and Mixture Modeling with Mplus by Kandauda Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal, Frederick Lorenz in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2021
ISBN
9781000465846
Edition
2

Table of contents

  1. Cover
  2. Endorsements
  3. Half-Title
  4. Series
  5. Title
  6. Copyright
  7. Contents
  8. Preface
  9. Acknowledgments
  10. Authors
  11. PART I Growth Curve Modeling
  12. PART II Growth Mixture Modeling
  13. PART III Latent Growth Curves with Non-Normal Variables
  14. 10 Latent Growth Curve Model with Non-Normal Variables
  15. 11 Growth Mixture Models with Non-Normal Variables
  16. Answers to Chapter Exercises
  17. Index