Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
Power Computations for Polynomial Change Models in Block-Randomized Designs
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Processing Request
- المؤلفون: Li, Wei; Konstantopoulos, Spyros
- اللغة:
English
- المصدر:
Journal of Experimental Education. 2019 87(4):575-595.
- الموضوع:
2019
- نوع التسجيلة:
Journal Articles
Reports - Descriptive
- معلومة اضافية
- Peer Reviewed:
Y
- المصدر:
21
- الموضوع:
- الرقم المعرف:
10.1080/00220973.2018.1496057
- ISSN:
0022-0973
- نبذة مختصرة :
Education experiments frequently assign students to treatment or control conditions within schools. Longitudinal components added in these studies (e.g., students followed over time) allow researchers to assess treatment effects in average rates of change (e.g., linear or quadratic). We provide methods for a priori power analysis in three-level polynomial change models for block-randomized designs. We discuss unconditional models and models with covariates at the second and third level. We illustrate how power is influenced by the number of measurement occasions, the sample sizes at the second and third levels, and the covariates at the second and third levels.
- نبذة مختصرة :
As Provided
- الموضوع:
2019
- الرقم المعرف:
EJ1222726
No Comments.