Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Coding | 3 |
Computation | 3 |
Statistical Inference | 3 |
African Americans | 1 |
Bayesian Statistics | 1 |
Comparative Analysis | 1 |
Computer Interfaces | 1 |
Cost Effectiveness | 1 |
Data Interpretation | 1 |
Data Science | 1 |
Diagnostic Tests | 1 |
More ▼ |
Author
Ames, Allison | 1 |
Chen, Mario | 1 |
Fergusson, Anna | 1 |
Guest, Greg | 1 |
McKenna, Kevin | 1 |
Myers, Aaron | 1 |
Namey, Emily | 1 |
Pfannkuch, Maxine | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Secondary Education | 1 |
Audience
Location
New Zealand | 1 |
North Carolina (Durham) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models
Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement
Namey, Emily; Guest, Greg; McKenna, Kevin; Chen, Mario – American Journal of Evaluation, 2016
Evaluators often use qualitative research methods, yet there is little evidence on the comparative cost-effectiveness of the two most commonly employed qualitative methods--in-depth interviews (IDIs) and focus groups (FGs). We performed an inductive thematic analysis of data from 40 IDIs and 40 FGs on the health-seeking behaviors of African…
Descriptors: Cost Effectiveness, Comparative Analysis, Interviews, Focus Groups