Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Dong, Shengli; Lucas, Margaretha S. – Career Development and Transition for Exceptional Individuals, 2016
This study focused on the academic performance and use of disability support services (DSS) of students with different types of disabilities who attend a postsecondary education institution. Findings show different patterns of academic success over four semesters as well as different patterns of DSS usage. Students who requested support from DSS…
Descriptors: Academic Achievement, Postsecondary Education, Related Services (Special Education), Use Studies
Smith, Russell K. – Research in Higher Education Journal, 2014
A segmentation study is used to partition college students into groups that are more or less likely to adopt tablet technology as a learning tool. Because the college population chosen for study presently relies upon laptop computers as their primary learning device, tablet technology represents a "next step" in technology. Student…
Descriptors: College Students, Cluster Grouping, Student Attitudes, Laptop Computers
Plummer, Joseph T. – 1971
In measuring the characteristics of mass-communication audiences, three dimensions are frequently used: demographics, social class, and psychological characteristics. The author proposes a fourth, "life style," which offers reliable data, is more colorful than demographics and more useful than psychological characteristics. This dimension is…
Descriptors: Audiences, Cluster Grouping, Correlation, Group Structure
SALTON, GERALD – 1967
THE TWELFTH IN A SERIES COVERING RESEARCH IN AUTOMATIC STORAGE AND RETRIEVAL, THIS REPORT IS DIVIDED INTO THREE PARTS TITLED EVALUATION, CLUSTER SEARCHING, AND USER FEEDBACK METHODS, RESPECTIVELY. THE FIRST PART, EVALUATION, CONTAINS A COMPLETE SUMMARY OF THE RETRIEVAL RESULTS DERIVED FROM SOME SIXTY DIFFERENT TEXT ANALYSIS EXPERIMENTS. IN EACH…
Descriptors: Cluster Grouping, Computational Linguistics, Correlation, Evaluation Methods