Multilevel Growth Modeling: An Introductory Approach to Analyzing Longitudinal Data for Evaluators

Autor/in	Gee, Kevin A.
Titel	Multilevel Growth Modeling: An Introductory Approach to Analyzing Longitudinal Data for Evaluators
Quelle	In: American Journal of Evaluation, 35 (2014) 4, S.543-561 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1098-2140
DOI	10.1177/1098214014523823
Schlagwörter	Longitudinal Studies; Data Analysis; Statistical Studies; Program Evaluation; Outcome Measures; Research Methodology; Fundamental Concepts; Early Childhood Education; Preschool Evaluation; Case Studies; Data Collection; Data Interpretation; Visualization; Models; Data Processing; Courseware; Statistical Analysis; Student Improvement; Progress Monitoring; North Carolina + Suchen Sie Ihr Suchwort? Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Auswertung; Programme evaluation; Programmevaluation; Research method; Forschungsmethode; Grundlagenplan; Konzept; Early childhood; Education; Frühkindliche Bildung; Frühpädagogik; Case study; Fallstudie; Case Study; Data capture; Datensammlung; Data evaluation; Datenauswertung; Visualisation; Visualisierung; Analogiemodell; Datenverarbeitung; Lernsoftware; Statistische Analyse
Abstract	The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights, evaluators responsible for analyzing longitudinal data face a new set of concepts and analytic techniques that may not be part of their current methodological tool kit. In this article, I provide an applied introduction to one method of longitudinal data analysis known as multilevel growth modeling. I ground the introductory concepts and illustrate the method of multilevel growth modeling in the context of a well-known longitudinal evaluation of an early childhood care program, the Carolina Abecedarian Project. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10