Ditemukan 172 dokumen dengan kata kunci 9192 |
Simpan CSV ![Simpan CSV](icons/save.png) |
Using Standardized Tests In Education
|
|
If at First You Don’t Succeed, Try, Try Again: Applications of Sequential IRT Models to Cognitive Assessments
|
Pengarang: Steven Andrew Culpepper | No. Panggil: Applied Psychological Measurement, Vol.38, No.8, Nov 2014 p.632-644 |
|
Koleksi: e-Artikel Pendidikan ::
Cari yang mirip ::
Tambahkan ke Favorit ::
|
|
If at First You Don't Succeed, Try, Try Again: Applications of Sequential IRT Models to Cognitive Assessments
|
|
A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
|
Pengarang: Timothy R. Johnson | No. Panggil: Applied Psychological Measurement, Vol.38, No.8, Nov 2014 p.599-613 |
|
Koleksi: e-Artikel Pendidikan ::
Cari yang mirip ::
Tambahkan ke Favorit ::
|
|
A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
|
|
A Numerical Investigation of the Recovery of Point Patterns With Minimal Information
|
Pengarang: M. A. A. Cox | No. Panggil: Applied Psychological Measurement, Vol.38, No.4, June 2014 p.329-335 |
|
Koleksi: e-Artikel Pendidikan ::
Cari yang mirip ::
Tambahkan ke Favorit ::
|
|
A Numerical Investigation of The Recovery of Point Patterns With Minimal Information
|
|
objective Measurement : Theory Into Pratice Volume 4
|
|
The Reliability of Linear Gain Scores as Measures of Student Growth at the Classroom Level in the Presence of Measurement Bias and Student Tracking
|
Pengarang: Steven Andrew Culpepper | No. Panggil: Applied Psychological Measurement, Vol.38, No.7, October 2014 p.503-517 |
|
Koleksi: e-Artikel Pendidikan ::
Cari yang mirip ::
Tambahkan ke Favorit ::
|
|
The Reliability of Linier Gain Scores as Measures of Student Growth at the Classroom Level in the Presence of Measurement Bias and Student Tracking
|
|