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) | 3 |
Descriptor
Computation | 3 |
Correlation | 3 |
Validity | 2 |
Adolescents | 1 |
African Americans | 1 |
Bachelors Degrees | 1 |
College Transfer Students | 1 |
Community Colleges | 1 |
Computer Software | 1 |
Data Analysis | 1 |
Departments | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 2 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 9 | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Location
New York | 3 |
Laws, Policies, & Programs
Assessments and Surveys
Bar Examinations | 1 |
What Works Clearinghouse Rating
Nutting, Andrew W. – Education Economics, 2011
The present paper determines whether community college transfer students have higher baccalaureate rates when they enroll in four-year colleges and departments that have larger shares of transfer students. Transfers attending non-technical campuses with larger shares of transfers have higher eight-year baccalaureate rates, but within-campus…
Descriptors: College Transfer Students, Undergraduate Students, Community Colleges, Graduation Rate
Corrigan, M. J.; Gurdineer, E. E. – Journal of Child & Adolescent Substance Abuse, 2012
Objective: This article reports on two separate studies of reliability of the Adolescent Domain Screening Inventory (ADSI), test-retest and internal consistency analyses. The ADSI has shown adequate validity, although reliability has not been established. Methods: Study 1: Students were recruited from two undergraduate courses (N = 29).…
Descriptors: Evidence, Student Evaluation, Data Analysis, Screening Tests
Kane, Michael T.; Mroch, Andrew A. – Applied Measurement in Education, 2010
In evaluating the relationship between two measures across different groups (i.e., in evaluating "differential validity") it is necessary to examine differences in correlation coefficients and in regression lines. Ordinary least squares (OLS) regression is the standard method for fitting lines to data, but its criterion for optimal fit…
Descriptors: Least Squares Statistics, Regression (Statistics), Differences, Validity