Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Author
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Nebraska | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Stange, Mathew; Smyth, Jolene D.; Olson, Kristen – Field Methods, 2016
Although researchers can easily select probability samples of addresses using the U.S. Postal Service's Delivery Sequence File, randomly selecting respondents within households for surveys remains challenging. Researchers often place within-household selection instructions, such as the next or last birthday methods, in survey cover letters to…
Descriptors: Mail Surveys, Research Methodology, Family (Sociological Unit), Community Surveys
Joyce, Ted; Remler, Dahlia K.; Jaeger, David A.; Altindag, Onur; O'Connell, Stephen D.; Crockett, Sean – Journal of Policy Analysis and Management, 2017
Randomized experiments provide unbiased estimates of treatment effects, but are costly and time consuming. We demonstrate how a randomized experiment can be leveraged to measure selection bias by conducting a subsequent observational study that is identical in every way except that subjects choose their treatment--a quasi-doubly randomized…
Descriptors: Randomized Controlled Trials, Quasiexperimental Design, Selection Criteria, Selection Tools
Preacher, Kristopher J.; Rucker, Derek D.; MacCallum, Robert C.; Nicewander, W. Alan – Psychological Methods, 2005
Analysis of continuous variables sometimes proceeds by selecting individuals on the basis of extreme scores of a sample distribution and submitting only those extreme scores to further analysis. This sampling method is known as the extreme groups approach (EGA). EGA is often used to achieve greater statistical power in subsequent hypothesis tests.…
Descriptors: Sampling, Statistical Analysis, Reliability, Measures (Individuals)