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Bockenholt, Ulf Hubert, Lawrence J. Kim, Jee-Seon 2015-09-25T20:38:38Z 2015-09-25T20:38:38Z 10000-01-01 2001 2001 This thesis develops a new modeling framework, called generalized latent change modeling, as a unifying approach to investigate diverse patterns of change from a stage-sequential perspective. Whereas stage theories were originally proposed to describe discontinuous characteristics of human development, it is shown that stage-sequential change is not necessarily incompatible with continuous change. The family of generalized latent change models (GLCMs) integrates a number of well-known quantitative methods into a unified framework and offers a variety of new options. The new methodology accommodates both continuous and discontinuous change processes and can take into account a wide range of data types including continuous, binary, ordinal, categorical, frequency, ranking, and proportion data, as well as mixtures of response variables. As a result, this modeling approach offers a versatile and practical way of analyzing longitudinal data. Several empirical data analyses demonstrate that GLCMs yield easily interpretable results and provide important statistical tests for various hypotheses and competing theories about the behavioral change mechanism. The applications given include studies of attitude change toward substance use among adolescents and value change regarding the concept of a good citizen in the United States from the 1960s to the 1980s. Made available in DSpace on 2015-09-25T20:38:38Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3023092.pdf: 6719597 bytes, checksum: 8c021b489f70fa74be789ff764e3cd6f (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 83288 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 144 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/82007 (MiAaPQ)AAI3023092 eng Biology, Biostatistics A Unifying Framework for the Analysis of Continuous and Discontinuous Change text Psychology Psychology University of Illinois at Urbana-Champaign Dissertation Ph.D.