An Ordinal Sequencing Technique for Assessing Multidimensional or Hierarchical Change Models

dc.creator	Kuleck, Walter J.	en_US
dc.creator	Knight, Catherine C.	en_US
dc.date.accessioned	2006-07-07T18:24:40Z
dc.date.available	2006-07-07T18:24:40Z
dc.date.issued	2000-04	en_US
dc.identifier.citation	The Ohio Journal of Science. v100, n2 (April, 2000), 8-12	en_US
dc.identifier.issn	0030-0950	en_US
dc.identifier.uri	http://hdl.handle.net/1811/23846
dc.description	Author Institution: The Hennepin Group ; The Department of Educational Foundations and Leadership	en_US
dc.description.abstract	Many scientific disciplines involve the study of growth, development, evolution, or other kinds of multidimensional or hierarchical change processes. The order in which these changes occur can be important to the scientist. Further, understanding these changes may depend on determining not only the order in which they occur, but also the relationships among them. As the broader perspectives now obtaining in science challenge our previous assumptions of linearity and simple sequences, we increasingly require techniques that allow us to view change in a more complex, combining and branching fashion, but with the discipline of statistical rigor.	en_US
dc.format.extent	572507 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_US
dc.title	An Ordinal Sequencing Technique for Assessing Multidimensional or Hierarchical Change Models	en_US