Quantitative Research Methods in Chaos and Complexity: From Probability to Post Hoc Regression Analyses

Autor/in	Gilstrap, Donald L.
Titel	Quantitative Research Methods in Chaos and Complexity: From Probability to Post Hoc Regression Analyses
Quelle	In: Complicity: An International Journal of Complexity and Education, 10 (2013) 1-2, S.57-70 (14 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1710-5668
Schlagwörter	Educational Research; Social Science Research; Behavioral Science Research; Statistical Analysis; Research Methodology; Probability; Regression (Statistics); Monte Carlo Methods; Markov Processes; Mathematical Concepts; Physics; Difficulty Level + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Social scientific research; Sozialwissenschaftliche Forschung; Statistische Analyse; Research method; Forschungsmethode; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Regression; Regressionsanalyse; Monte-Carlo-Methode; Markowscher Prozess; Physik; Schwierigkeitsgrad
Abstract	In addition to qualitative methods presented in chaos and complexity theories in educational research, this article addresses quantitative methods that may show potential for future research studies. Although much in the social and behavioral sciences literature has focused on computer simulations, this article explores current chaos and complexity methods that have the potential to bridge the divide between qualitative and quantitative, as well as theoretical and applied, human research studies. These methods include multiple linear regression, nonlinear regression, stochastics, Monte Carlo methods, Markov Chains, and Lyapunov exponents. A postulate for post hoc regression analysis is then presented as an example of an emergent, recursive, and iterative quantitative method when dealing with interaction effects and collinearity among variables. This postulate also highlights the power of both qualitative and quantitative chaos and complexity theories in order to observe and describe both the micro and macro levels of systemic emergence. (As Provided).
Anmerkungen	University of Alberta. 347 Education South, Edmonton, Alberta T6G 2G5, Canada. e-mail: complicity.journal@gmail.com; Web site: https://ejournals.library.ualberta.ca/index.php/complicity
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01