Nominal-Level Measurement
Nominal data are one of the four levels of measurement described in 1946 by S. S. Stevens, a Harvard psychologist. The four levels are nominal, ordinal, ratio, and interval data, and all have specific definitions of their characteristics. It is important to identify the type of data being collected in a research study, so that the correct type of statistical analysis is performed. This entry describes the unique characteristics of nominal data and outlines the data analysis techniques permissible to use with these results.
Nominal data are considered the most crude or simplest of the four levels of measurement. Nominal data are also called categorical, labeled, or nonranked information because the value given functions only to delineate each individual result and to allow the researcher to ...
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