Importance of sampling weights in multilevel modeling of international large-scale assessment data

2017 ◽  
Vol 47 (20) ◽  
pp. 4991-5012 ◽  
Author(s):  
Inga Laukaityte ◽  
Marie Wiberg
2020 ◽  
pp. 107699862097855
Author(s):  
Takashi Yamashita ◽  
Thomas J. Smith ◽  
Phyllis A. Cummins

In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Mplus. Concise overview and key unique aspects of large-scale assessment data from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC) are described. Using commonly-used statistical software including SAS and R, a simple macro program and syntax are developed to streamline the data preparation process. Then, two examples of structural equation models are demonstrated using Mplus. The suggested data preparation and analytic approaches can be immediately applicable to existing large-scale assessment data.


2018 ◽  
Vol 167 ◽  
pp. 32-48 ◽  
Author(s):  
Stefa Hirsch ◽  
Katharina Lambert ◽  
Karien Coppens ◽  
Korbinian Moeller

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Tyler H. Matta ◽  
Leslie Rutkowski ◽  
David Rutkowski ◽  
Yuan-Ling Liaw

2021 ◽  
Vol 58 ◽  
pp. 101008
Author(s):  
David Braeuning ◽  
Caroline Hornung ◽  
Danielle Hoffmann ◽  
Katharina Lambert ◽  
Sonja Ugen ◽  
...  

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