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

Autor/inn/en	Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A.
Titel	A Practical Guide for Analyzing Large-Scale Assessment Data Using Mplus: A Case Demonstration Using the Program for International Assessment of Adult Competencies Data
Quelle	In: Journal of Educational and Behavioral Statistics, 46 (2021) 4, S.501-518 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	ORCID (Yamashita, Takashi) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998620978554
Schlagwörter	Learning Analytics; Computer Software; Syntax; Adults; Competence; Structural Equation Models; Sampling; Prediction; Learning Motivation; Program for the International Assessment of Adult Competencies (PIAAC) + Suchen Sie Ihr Suchwort? Kompetenz; Vorhersage; Motivation for studies; Lernmotivation
Abstract	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 Maples. 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. [For the corresponding grantee submission, see ED616419.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01