skip to main content

Randall Schumacker

  • About
  • Resources
  • Survey Research
  • Rasch Measurement
  • Conducting Evaluations
  • About
  • Resources
  • Survey Research
  • Rasch Measurement
  • Conducting Evaluations

Dr. Randall E. Schumacker

Randall Schumacker
Randall E. Schumacker, Ph.D.
McCory Research Professor
Fulbright Scholar
College of Education
P.O. Box 870231
316 Carmichael Hall
University of Alabama
Tuscaloosa, AL 35487-0231
(205) 348-6062 Office
(205) 348-0683 Fax
E-mail:  rschumacker@ua.edu
http://ua.edu
https://education.ua.edu
Dr. Randall E. Schumacker is professor of educational research at The University of Alabama. He has written and co-edited several books, including A Beginner’s Guide to Structural Equation Modeling, Fifth Edition, Multivariate Statistics, Statistics Made Easy, Advanced Structural Equation Modeling: Issues and Techniques, Interaction and Non-Linear Effects in Structural Equation Modeling, New Developments and Techniques in Structural Equation Modeling, Understanding Statistical Concepts Using S-PLUS, Understanding Statistics Using R, Learning Statistics Using R, and Using R with Multivariate Statistics.  Dr. Schumacker was the founder and is now emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal, and has established the Structural Equation Modeling Special Interest Group within the American Educational Research Association (AERA). He is also the emeritus editor of Multiple Linear Regression Viewpoints, the oldest journal sponsored by AERA (Multiple Linear Regression: General Linear Model Special Interest Group). Dr. Schumacker is currently the Editor of Measurement:  Interdisciplinary Research and Perspectives.  Dr. Schumacker has conducted international and national workshops, has served on the editorial board of several journals, and currently pursues his research interests in statistics and structural equation modeling. He was the 1996 recipient of the Outstanding Scholar Award and the 1998 recipient of the Charn Oswachoke International Award. In 2010, he launched the DecisionKit App for the iPhone, iPad, and iTouch, which can assist researchers in making decisions about which measurement, research design, or statistic to use in their research projects. In 2011, he received the Apple iPad Award. In, 2012, he received the CIT Faculty Technology Award. In 2013, he received the McCrory Faculty Excellence in Research Award from the College of Education at the University of Alabama. In 2014, Dr. Schumacker was the recipient of the Structural Equation Modeling Service Award at AERA.

vita_2022_ua.pdf
File Size: 406 kb
File Type: pdf
Download File

Degrees

Ph.D., Educational Psychology (Statistics/Measurement), Southern Illinois University, 1984.
M.S. A. J., (Counseling), Southern Illinois University, 1978.
B.S., Psychology, Western Illinois University, 1974.

Areas of Expertise

  • Structural Equation Modeling 
  • Multiple Regression
  • Multivariate Statistics
  • Rasch Measurement (Rasch Models)
  • Generalizability Theory
  • Latent Trait Theory
  • Evaluation & Assessment (Information Portal)
  • Consulting rschumacker@ua.edu  

Courses Taught

  • Structural Equation Modeling
  • Multivariate Statistics
  • Multiple Regression
  • Program Evaluation
  • Statistical Theory and Simulation     
  • Research Methods   
  • Advanced Research Design
  • Classical and Modern Measurement Theory
  • Measurement & Evaluation Applications 
  • ​Survey Research​

Books

​
  • Statistics Made Easy (2023)
  • A Beginner's Guide to Structural Equation Modeling (Routledge, 2022)
  • Multivariate  Statistics (2022) 
  • Using R with Multivariate Statistics (SAGE, 2016)
  • Learning Statistics Using R ​(SAGE, 2014)
  • Understanding Statistics Using R (Springer-Verlag, 2013)
  • ​An Introduction to Rasch Measurement, 2004
  • Advanced Structural Equation Modeling: Issues and Techniques, 1996
  • Interaction and Non-linear Effects in Structural Equation Modeling, 1997
  • Understanding Statistical Concepts Using S-Plus, 2001
  • New Developments and Techniques in Structural Equation Modeling, 2001
Book cover for A Beginner's Guide to Structural Equation Modeling
sem_computer_files.zip
File Size: 15 kb
File Type: zip
Download File

sem_data_files.zip
File Size: 314 kb
File Type: zip
Download File

sem_answer_keys.zip
File Size: 3591 kb
File Type: zip
Download File

* Includes LISREL and Mplus Programs
Book Cover for Multivariate Statistics R SPSS SAS
book_data_files_and_programs.zip
File Size: 425 kb
File Type: zip
Download File

book_exercises_and_answers.zip
File Size: 925 kb
File Type: zip
Download File

Picture
powerpoint_chapter_slides.zip
File Size: 3364 kb
File Type: zip
Download File

stats_made_easy_r_programs.zip
File Size: 10 kb
File Type: zip
Download File


Journals

  • Structural Equation Modeling:  A Multidisciplinary Journal
  • Measurement:  Interdisciplinary Research and Perspectives
  • Multiple Linear Regression Viewpoints

Research Interests

  • Structural Equation Modeling Issues and Techniques
  • Methodological Advances in Measurement and Statistics
  • Problem Solving Strategies in Mathematics Education
  • Cognition and Learning
  • Computer Adaptive Testing
  • Medical Education/Informatics

American Educational Research Association (AERA) SIGs

  • Structural Equation Modeling SIG
  • Multiple Linear Regression SIG
  • ​Rasch SIG

Contact Dr. Schumacker

UA Logo
Accessibility | ​Equal Opportunity | UA Disclaimer | Site Disclaimer | Privacy
Copyright © 2021 | The University of Alabama | Tuscaloosa, AL 35487 | (205) 348-6010
Website provided by the Center for Instructional Technology, Office of Information Technology