Matrix Algebra
Matrix algebra is vital for quantitative psychology, statistics, and computer science. It provides a compact way to express complicated mathematical operations. A matrix M is an array of numbers organized in rows and columns. The entry Mij is the number in the ith row and jth column of M. Entries can be real or complex valued, but only real-valued matrices are considered in this entry. M may represent a data set, with participants or observations as rows and with variables as columns. This entry describes the basic operations of matrix algebra, how vectors are related to matrices, and common uses of matrix algebra.
A matrix transpose (written MT or M’) flips a matrix to exchange rows and columns, which can be written as (MT)ij ...
Looks like you do not have access to this content.
Reader's Guide
Assessment
Cognitive and Affective Variables
Data Visualization Methods
Disabilities and Disorders
Distributions
Educational Policies
Evaluation Concepts
Evaluation Designs
Human Development
Instrument Development
Organizations and Government Agencies
Professional Issues
Publishing
Qualitative Research
Research Concepts
Research Designs
Research Methods
Research Tools
Social and Ethical Issues
Social Network Analysis
Statistics
Teaching and Learning
Theories and Conceptual Frameworks
Threats to Research Validity
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z