Publication Date
| In 2025 | 0 |
| Since 2024 | 3 |
Descriptor
| Growth Models | 3 |
| Longitudinal Studies | 3 |
| Accuracy | 1 |
| Adaptive Testing | 1 |
| At Risk Students | 1 |
| Computer Assisted Testing | 1 |
| Data Collection | 1 |
| Error of Measurement | 1 |
| Foreign Countries | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Grade 8 | 1 |
| Higher Education | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Preschool Education | 1 |
| More ▼ | |
Audience
Location
| Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
The Impact of Measurement Noninvariance across Time and Group in Longitudinal Item Response Modeling
Peer reviewed
Direct linkIn-Hee Choi – Asia Pacific Education Review, 2024
Longitudinal item response data often exhibit two types of measurement noninvariance: the noninvariance of item parameters between subject groups and that of item parameters across multiple time points. This study proposes a comprehensive approach to the simultaneous modeling of both types of measurement noninvariance in terms of longitudinal item…
Descriptors: Longitudinal Studies, Item Response Theory, Growth Models, Error of Measurement
Jonas Weyers; Rudy Ligtvoet; Johannes König – Journal of Curriculum Studies, 2024
General pedagogical knowledge (GPK) is regarded as a central component of the competence that teachers acquire during university teacher education. However, existing research on GPK typically uses only one or two measurement points to assess development and identify influencing factors. The present study draws on an annual survey of pre-service…
Descriptors: Preschool Teachers, Pedagogical Content Knowledge, Preservice Teacher Education, Growth Models
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
