ERIC Number: EJ1444266
Record Type: Journal
Publication Date: 2024
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2693-9169
Neglected, Acknowledged, or Targeted: A Conceptual Framing of Variability, Data Analysis, and Domain Consequences
Journal of Statistics and Data Science Education, v32 n4 p432-443 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected, Acknowledged, or Targeted (NAT) Taxonomy describes whether one's data analysis choices engage with variability, and whether those choices target the potential consequences of variability, within a given domain. A targeted analysis is the most beneficial rung for engineering applications and is therefore a useful concept for instruction. This study describes the qualitative methods used to develop the NAT Taxonomy and describes how the taxonomy can be used in statistics and data science education, particularly in support of other domain applications.
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations, College Graduates, Data Interpretation, Predictor Variables, Error of Measurement, Reliability, Taxonomy, Statistics Education, Data Science
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Identifiers - Location: Canada; Turkey; Philippines
Grant or Contract Numbers: 2138463