Planned Missing Data Designs for Research in Cognitive Development

Autor/inn/en	Rhemtulla, Mijke; Little, Todd D.
Titel	Planned Missing Data Designs for Research in Cognitive Development
Quelle	In: Journal of Cognition and Development, 13 (2012) 4, S.425-438 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1524-8372
DOI	10.1080/15248372.2012.717340
Schlagwörter	Data Collection; Reliability; Validity; Measures (Individuals); Data Analysis; Research Methodology; Cognitive Development; Longitudinal Studies; Statistical Analysis; Inferences; Attention Deficit Disorders; Grade 3; Elementary Education; Wechsler Intelligence Scale for Children + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Reliabilität; Gültigkeit; Messdaten; Auswertung; Research method; Forschungsmethode; Kognitive Entwicklung; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Statistische Analyse; Inference; Inferenz; Attention deficit hyperactivity disorder; ADHS; Aufmerksamkeits-Defizit-Hyperaktivitäts-Störung; Aufmerksamkeitsstörung; School year 03; 3. Schuljahr; Schuljahr 03; Elementarunterricht
Abstract	Data collection can be the most time- and cost-intensive part of developmental research. This article describes some long-proposed but little-used research designs that have the potential to maximize data quality (reliability and validity) while minimizing research cost. In "planned missing data designs", missing data are used strategically to improve the validity of data collection in one of two ways. Multiform designs allow one to increase the number of measures assessed on each participant without increasing each participant's burden. Two-method measurement designs allow one to reap the benefits of a cost-intensive gold-standard measure, using a larger sample size made possible by a rougher, cheaper measure. We explain each method using examples relevant to cognitive development research. With the use of analysis methods that produce unbiased results, planned missing data designs are an efficient way to manage cost, improve data quality, and reduce participant fatigue and practice effects. (Contains 2 figures, 1 table and 4 footnotes.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10