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I-states-as-objects-analysis (ISOA): Extensions of an approach to studying short-term developmental processes by analyzing typical patterns
Stockholm University, Faculty of Social Sciences, Department of Psychology.
2012 (English)In: International Journal of Behavioral Development, ISSN 0165-0254, E-ISSN 1464-0651, Vol. 36, no 3, 237-246 p.Article in journal (Refereed) Published
Abstract [en]

I-states-as-objects-analysis (ISOA) is a person-oriented methodology for studying short-term developmental stability and change in patterns of variable values. ISOA is based on longitudinal data with the same set of variables measured at all measurement occasions. A key concept is the i-state, defined as a person's pattern of variable values at a specific time point. All i-states are first subjected to a classification analysis that results in a time-invariant classification characterized by a number of typical i-states. Each person is then characterized at each time point by the typical i-state he/she belongs to. Then the person's sequences of typical i-states are analyzed with regard to structural and individual stability and change. Extensions of ISOA are presented where: (1) some methods for checking the assumption of a time-invariant classification are indicated; (2) information about the degree of dissimilarity between typical i-states is used as an aid in interpreting the findings; and (3) attention is given to closed paths-that is, typical i-state sequences that do not occur at all. To demonstrate the methods, an empirical example is given that concerns the development of children's achievement-intelligence patterns between ages 10 and 13.

Place, publisher, year, edition, pages
2012. Vol. 36, no 3, 237-246 p.
Keyword [en]
classification, ISOA, longitudinal, patterns, person-oriented
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-80088DOI: 10.1177/0165025412440947ISI: 000304700400008OAI: oai:DiVA.org:su-80088DiVA: diva2:555355
Note

AuthorCount:3;

Available from: 2012-09-19 Created: 2012-09-12 Last updated: 2017-12-07Bibliographically approved

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