Outdoor recreation providers intuitively know that visitors engage in particular activities in desired outdoor settings to attain beneficial experiences. There is a lack of understanding among managers and researchers, however, about the relationships that exist between these recreation opportunities. What are the salient inputs (activities and/or settings) that contribute to the production of certain outputs (benefit opportunities)? How does the magnitude of activity and setting effects compare to each other and vary across benefit items? To gain a better understanding of recreation opportunities and their relationships, data from nine benefits-based management pilot-studies were collected, analyzed, and combined using meta-analytic techniques. Two-way analysis of variance was used to test the dependency of twelve benefit attainment items on setting and activity type in each study. Meta-analysis techniques were used to calculate two types of results that were derived from the two-way analysis of variance tests. (1) Fisher's inverse chi-square method was used to combine the significance levels derived from 'F' statistics; and, (2) the 'F' statistic associated with each two-way analysis of variance test was converted into a common metric called an effect size (r) and an average effect size was calculated for each input/output relationship. Six of the twelve benefits examined were significantly affected by a recreational input, particularly activity type. These findings strengthen the argument that not all outcomes require certain types of activity and setting inputs. For a more robust comparison of the benefits, the twelve benefits were categorized based on the type of recreational input affecting them. By focusing on inputs of the production process when categorizing benefits, this research provides a more detailed breakdown of benefits. Suggestions for recreation management and future research are presented in light of these findings.
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Univ Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, FinlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Hakulinen, Christian
Hintsanen, Mirka
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Univ Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Univ Oulu, Unit Psychol, Fac Educ, SF-90100 Oulu, FinlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Hintsanen, Mirka
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Munafo, Marcus R.
Virtanen, Marianna
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Finnish Inst Occupat Hlth, Helsinki, FinlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Virtanen, Marianna
Kivimaeki, Mika
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UCL, Dept Epidemiol & Publ Hlth, London WC1E 6BT, England
Univ Helsinki, Dept Publ Hlth, Fac Med, FIN-00014 Helsinki, FinlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Kivimaeki, Mika
Batty, George David
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UCL, Dept Epidemiol & Publ Hlth, London WC1E 6BT, England
Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9YL, Midlothian, Scotland
Univ Edinburgh, Alzheimer Scotland Dementia Res Ctr, Edinburgh EH8 9YL, Midlothian, ScotlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland
Batty, George David
Jokela, Markus
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Univ Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, FinlandUniv Helsinki, Inst Behav Sci, POB 9, FIN-00014 Helsinki, Finland