Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math.
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math.
Craig A. Mertler is Associate Professor at Arizona State University, USA. He teaches courses focused on the application of action research in educational settings and also teaches research methods, statistical analyses, and educational assessment methods. He has served as the research methodology expert on more than 100 dissertations and theses. Rachel A. Vannatta is Professor of Educational Assessment, Research and Statistics at Bowling Green State University, USA. In her more than 25 years in higher education, she has focused on creating more accessible and relatable statistics content. Kristina N. LaVenia is Assistant Professor at Bowling Green State University, USA. She teaches courses on research methods, data analysis, program evaluation, and leadership for adult development. In her role as faculty member, she works closely with doctoral students to provide support for their dissertation research. Her background as a school counselor informs her educational research and leadership preparation work.
Inhaltsangabe
1. Introduction to Multivariate Statistics 2. A Guide to Multivariate Techniques 3. Pre-Analysis Data Screening 4. Factorial Analysis of Variance 5. Analysis of Covariance 6. Multivariate Analysis of Variance and Covariance 7. Multiple Regression 8. Factor Analysis 9. Discriminant Analysis 10. Binary Logistic Regression
