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
| Error of Measurement | 2 |
| Sampling | 2 |
| Achievement Tests | 1 |
| Children | 1 |
| Computer Software | 1 |
| Databases | 1 |
| Elementary Secondary Education | 1 |
| Equations (Mathematics) | 1 |
| Error Correction | 1 |
| Followup Studies | 1 |
| Foreign Countries | 1 |
| More ▼ | |
Source
| Sociological Methods &… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
| Schools and Staffing Survey… | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkMazza, Angelo; Punzo, Antonio – Sociological Methods & Research, 2015
The dissimilarity index of Duncan and Duncan is widely used in a broad range of contexts to assess the overall extent of segregation in the allocation of two groups in two or more units. Its sensitivity to random allocation implies an upward bias with respect to the unknown amount of systematic segregation. In this article, following a multinomial…
Descriptors: Statistical Bias, Error of Measurement, Error Correction, Mathematical Logic
Download full textStapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
