Practical Multilevel Modeling Using R | Agenda Bookshop Skip to content
Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=Francis L. Huang
Age Group_Uncategorized
Age Group_Uncategorized
Author_Francis L. Huang
automatic-update
Category1=Non-Fiction
Category=GPS
Category=JHBC
Category=JMB
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

Practical Multilevel Modeling Using R

English

By (author): Francis L. Huang

Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a Test Yourself section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text. See more
Current price €85.49
Original price €94.99
Save 10%
A01=Francis L. HuangAge Group_UncategorizedAuthor_Francis L. Huangautomatic-updateCategory1=Non-FictionCategory=GPSCategory=JHBCCategory=JMBCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 490g
  • Dimensions: 177 x 254mm
  • Publication Date: 01 Feb 2023
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781071846124

About Francis L. Huang

Francis Huang Ph.D. is an Associate Professor at the University of Missouri (MU) in the Statistics Measurement and Evaluation in Education program in the Department of Educational School and Counseling Psychology of the College of Education. He teaches courses on multilevel modeling program evaluation and data management and is the co-director of the methodology branch of the Missouri Prevention Science Institute. Dr. Huangs research has been funded by federal agencies such as the U.S. Department of Education and the National Institute of Justice. His research focuses on both methodological (e.g. analysis of clustered data) and substantive (e.g. school climate bullying disparities in disciplinary sanctions) areas of interest. His work has been cited in outlets such as the New York Times the Washington Post and National Public Radio (among others). He has published in journals such as the Journal of Educational and Behavioral Statistics Behavior Research Methods and Educational Researcher. Prior to joining MU he was a Senior Scientist at the University of Virginia and has worked at the American Institutes for Research providing technical expertise on survey methods and the analysis of large-scale secondary datasets. He has worked as a management consultant and a high school teacher. He has an MA from Teachers College Columbia University and a PhD from the University of Virginia. He is a father of two and married to his best friend. Francis does not take himself too seriously plays the guitar and dreams of being in a jazz trio in his retirement.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept