

📈 Elevate your social science research with Mplus mastery — don’t get left behind!
Data Analysis with Mplus is a highly rated, beginner-friendly guide blending theoretical foundations and practical Mplus programming for advanced social science data techniques like SEM, LCA, and LGC. Ideal for graduate students and researchers seeking to enhance their analytical toolkit and research outcomes.
| Best Sellers Rank | #1,535,865 in Books ( See Top 100 in Books ) #367 in Business Statistics #853 in Statistics (Books) #1,735 in Probability & Statistics (Books) |
| Customer Reviews | 4.8 out of 5 stars 36 Reviews |
A**Z
The book is an excellent introduction to MPlus
The book is an excellent introduction to MPlus, usful and intuitive for beginners and grad students. It has a very good balance between theoretical explanations and step-by-step guidelines for applying somewhat complex analyses (SEM, LCA, LGC, etc) to your research.
R**A
Detail-obsesive, practical and pedagogic
This book was the perfect complement to my Advanced Statistic seminair in the PhD. In the live discussions we had the chance to analyze the benefits and applications of different data analysis techniques, while professor Geiser explains with perfect germanic order the HOW TO to prepare the data, program in MPlus, parametrize the analysis and interpret the results. A note of caution: You will need the software, your hypothesis and databases to actually make good use of the book.
T**S
Good basic information for people just learning MPLus
I found this book very useful, but it would be good to have an updated version that included a broader range of models, for instance Latent Profile Analysis, not just LCA. One of the most useful things about this book were the tips on preparing data to be transferred from SPSS so that it could be used in MPlus. This isn't covered very well in the MPlus Manual. In addition, there are numerous tips throughout for the novice user of MPLus. Well worth the money.
G**T
Great book for SEM
I'm using this in addition to the Structural Equation Modeling book by Kenneth Bollen. It's a very helpful complement, and would probably be useful on its own if you had a strong base understanding of the statistical techniques already and just needed to get more information on modeling in Mplus.
T**2
Of course you need to use it in combination with a more theoretical text to help make decisions on which approach is best for yo
I'm in the midst of analyzing my dissertation data and just need to stop and say this book is a godsend. Of course you need to use it in combination with a more theoretical text to help make decisions on which approach is best for your research questions, but I admit I am getting more useful information out of this than my theoretical text and the MPlus Q&A forums. Thank you Dr. Geiser.
N**H
Very well written
The author does a great job at making mplus accessible with ample examples. Definitely a book I'll keep in my collection.
A**E
Please enable text to speech for kindle.
As someone with a disability that affects reading text, I would really appreciate enabling text to speech. The book comes highly recommended from a trusted friend, and I'm sure it will be a helpful resource while designing the model for my dissertation.
J**N
Five Stars
Vety helpful bok
Trustpilot
1 day ago
3 weeks ago