Journal article
When ANOVA isn't ideal: Analyzing ordinal data from practical work in biology
The American Biology Teacher, Vol.82(5), pp.289-294
2020
Abstract
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on ordinal scales in which observations are placed in a sequence but the intervals between adjacent observations are not necessarily equal. These data can only be interpreted in terms of their order, not in terms of the differences between adjacent points. They are unsuitable for parametric statistical analyses and require a rank-based approach using nonparametric statistics. We describe an application of one such approach, the Kruskal-Wallis test, to biological data using online freeware suitable for classroom settings.
Details
- Title
- When ANOVA isn't ideal: Analyzing ordinal data from practical work in biology
- Authors/Creators
- D. Fletcher (Author/Creator)M. Calver (Author/Creator)
- Publication Details
- The American Biology Teacher, Vol.82(5), pp.289-294
- Publisher
- National Association of Biology Teachers Inc.
- Identifiers
- 991005545030707891
- Copyright
- © 2020 National Association of Biology Teachers
- Murdoch Affiliation
- School of Environmental and Conservation Sciences; Information Technology, Mathematics and Statistics
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 9 Mathematics
- 9.92 Statistical Methods
- 9.92.851 Adaptive Design
- Web Of Science research areas
- Biology
- Education, Scientific Disciplines
- ESI research areas
- Social Sciences, general