Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Data Interpretation | 2 |
| Intervention | 2 |
| Statistics | 2 |
| At Risk Persons | 1 |
| At Risk Students | 1 |
| Child Development | 1 |
| Cognitive Development | 1 |
| Comparative Analysis | 1 |
| Control Groups | 1 |
| Correlation | 1 |
| Data Collection | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
| Early Childhood Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Bayley Mental Development… | 1 |
| Bayley Scales of Infant… | 1 |
What Works Clearinghouse Rating
Direct linkSarah E. Long – ProQuest LLC, 2021
Missing values that fail to be appropriately accounted for may lead to reduced statistical power, biased estimators, reduced representativeness of the sample, and incorrect interpretations and conclusions (Gorelick, 2006). The current study provided an ontological perspective of data manipulation by explaining how statistical results can…
Descriptors: Statistics, Data Use, Student Records, School Holding Power
Peer reviewedPituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
