Exploring Progression along the Recreation Specialization Continuum Using a Latent Growth Approach.
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| Title: | Exploring Progression along the Recreation Specialization Continuum Using a Latent Growth Approach. |
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| Authors: | Oh, Chi-Ok (AUTHOR), Sorice, MichaelG. (AUTHOR), Ditton, RobertB. (AUTHOR) |
| Source: | Leisure Sciences. Jan/Feb2011, Vol. 33 Issue 1, p15-31. 17p. 1 Diagram, 5 Charts. |
| Subjects: | Leisure & society, Individual differences -- Social aspects, Cultural activities, Sociology of leisure, Latent functions (Social sciences) |
| Geographic Terms: | Texas |
| Abstract: | In recreation specialization the idea of progression largely has been relegated to an assumption. Fundamental questions about how leisure participants enter and progress through social subworlds remain. We examined panel data over a six-year period to look for evidence of progression among Texas anglers. Similar to previous studies, we were unable to detect forward movement along the specialization continuum. Results revealed strong individual differences in each subdimension of the developmental process. Our study adds to this literature by treating specialization in terms of its underlying subdimensions and by demonstrating latent growth modeling as a viable alternative to repeated measure analyses. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | In recreation specialization the idea of progression largely has been relegated to an assumption. Fundamental questions about how leisure participants enter and progress through social subworlds remain. We examined panel data over a six-year period to look for evidence of progression among Texas anglers. Similar to previous studies, we were unable to detect forward movement along the specialization continuum. Results revealed strong individual differences in each subdimension of the developmental process. Our study adds to this literature by treating specialization in terms of its underlying subdimensions and by demonstrating latent growth modeling as a viable alternative to repeated measure analyses. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01490400 |
| DOI: | 10.1080/01490400.2011.533104 |
