Hierarchical Data Structures in Adventure Education and Therapy

Autor/inn/en	Russell, Keith; Sibthorp, Jim
Titel	Hierarchical Data Structures in Adventure Education and Therapy
Quelle	In: Journal of Experiential Education, 27 (2004) 2, S.176-190 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1053-8259
Schlagwörter	Therapy; Data Analysis; Self Efficacy; Adventure Education; Research Methodology; Computation; Regression (Statistics); Experiential Learning; Models; Gender Differences; Program Effectiveness; Interpersonal Competence; Grade 6 + Suchen Sie Ihr Suchwort? Therapie; Auswertung; Self-efficacy; Selbstwirksamkeit; Adventure pedagogics; Abenteuerpädagogik; Erlebnispädagogik; Research method; Forschungsmethode; Regression; Regressionsanalyse; Experiental learning; Erfahrungsorientiertes Lernen; Analogiemodell; Geschlechterkonflikt; Interpersonale Kompetenz; School year 06; 6. Schuljahr; Schuljahr 06
Abstract	Hierarchical linear modeling (HIM) is an approach used in data analysis to better understand how program outcomes are affected by the "nested" nature of data collected in many studies. An outcome can be considered variables such as an individual's self-efficacy, social skills, or more targeted outcomes such as demonstrated reading and mathematical skills. Recent research has suggested that individuals within each "nested structure" may exhibit more similar outcomes than another similar research setting. The purpose of this article is to provide examples of nested data structures and illustrate common approaches to dealing with this type of data often found in adventure education and therapy research. Data available from a study on the wilderness treatment outcomes are then analyzed using HLM to illustrate how the process can increase interpretation of findings and inform future research. Results suggest that many of the variables of interest in research on adventure education and therapy, which might explain why outcomes vary for participants, may be missing from research designs due to nested data structures. Future researchers should consider HLM approaches that may be appropriate for nested data structures common in studies on adventure education and therapy. (Contains 2 figures, 2 tables, and 5 endnotes.) (Author).
Anmerkungen	Association for Experiential Education. 3775 Iris Ave., Suite 4, Boulder, CO 80301. Tel: 866-522-8337; Fax: 303-440-9581; e-mail: publications@aee.org; Web site: http://www.aee.org.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10