Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 1 |
Descriptor
Cluster Grouping | 3 |
Comparative Analysis | 3 |
Measurement Techniques | 3 |
Correlation | 2 |
Agriculture | 1 |
Citation Indexes | 1 |
Citations (References) | 1 |
Classification | 1 |
Cystic Fibrosis | 1 |
Definitions | 1 |
Economics | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Education Level
Audience
Location
Michigan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
French, Brian F.; Finch, W. Holmes – Educational and Psychological Measurement, 2013
Multilevel data structures are ubiquitous in the assessment of differential item functioning (DIF), particularly in large-scale testing programs. There are a handful of DIF procures for researchers to select from that appropriately account for multilevel data structures. However, little, if any, work has been completed to extend a popular DIF…
Descriptors: Test Bias, Statistical Analysis, Comparative Analysis, Correlation
Sinclair, Bill; Manderscheid, Lester V. – 1974
Eleven indexes of rurality and their effect on the classification of Michigan's 83 counties were investigated. The indexes were based on different concepts of rurality: (1) percent of employment in agriculture, fishing, and forestry; (2) population density and distance to urban centers; and (3) economic conditions. Index rankings were compared to…
Descriptors: Agriculture, Classification, Cluster Grouping, Comparative Analysis

Shaw, W. M., Jr. – Information Processing and Management, 1990
These two articles discuss clustering structure in the Cystic Fibrosis Document Collection, which is derived from the National Library of Medicine's MEDLINE file. The exhaustivity of four subject representations and two citation representations is examined, and descriptor-weight thresholds and similarity thresholds are used to compute…
Descriptors: Citation Indexes, Citations (References), Cluster Grouping, Comparative Analysis