Basic numerical competences in large-scale assessment data: Structure and long-term relevance

2018 ◽  
Vol 167 ◽  
pp. 32-48 ◽  
Author(s):  
Stefa Hirsch ◽  
Katharina Lambert ◽  
Karien Coppens ◽  
Korbinian Moeller
Keyword(s):  
Data Structure ◽  
Large Scale ◽  
Assessment Data ◽  
Large Scale Assessment ◽  
Scale Assessment

Long-term relevance and interrelation of symbolic and non-symbolic abilities in mathematical-numerical development: Evidence from large-scale assessment data

2021 ◽  
Vol 58 ◽  
pp. 101008
Author(s):  
David Braeuning ◽  
Caroline Hornung ◽  
Danielle Hoffmann ◽  
Katharina Lambert ◽  
Sonja Ugen ◽  
...  
Keyword(s):  
Large Scale ◽  
Assessment Data ◽  
Large Scale Assessment ◽  
Numerical Development ◽  
Scale Assessment

scholarly journals A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data

2020 ◽  
pp. 107699862097855
Author(s):  
Takashi Yamashita ◽  
Thomas J. Smith ◽  
Phyllis A. Cummins
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Structural Equation Models ◽  
Preparation Process ◽  
Data Preparation ◽  
Assessment Data ◽  
Statistical Software ◽  
Large Scale Assessment ◽  
Scale Assessment ◽  
International Assessment

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.

scholarly journals lsasim: an R package for simulating large-scale assessment data

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Tyler H. Matta ◽  
Leslie Rutkowski ◽  
David Rutkowski ◽  
Yuan-Ling Liaw
Keyword(s):  
Large Scale ◽  
R Package ◽  
Assessment Data ◽  
Large Scale Assessment ◽  
Scale Assessment
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