Multiple Regressions with Perceptions of Current Projects

61 Table 13. As indicated by the squared semi-partial correlations sr 2 , perceived value of proposed projects contributed 8 to the unique variance contributed by perceived value of proposed project to the predictor variables. In addition, attitudes toward fishing contributed 3 and damage to productive and household materials contributed 1 of unique variance to predictor variables. The results of this analysis indicate that greater willingness to participate can be statistically significantly predicted by more positive attitudes toward fishing, greater damage to personal materials from the tsunami and greater perceived value of proposed projects. This analysis suggests that attitudes toward fishing and direct damage to household andor productive materials are of important concern when assessing willingness to participate in proposed projects.

4.3.4. Multiple Regressions with Perceptions of Current Projects

Two additional multiple regressions used only cases for which the individual listed at least one livelihood project in order to address the third hypothesis which assessed how perceptions of current projects affects perceptions of proposed projects. Therefore, the analysis below examines the effect of perceptions of ongoing projects on perceptions of proposed projects. The following two multiple regressions assess an individual’s perceived value of ongoing livelihood projects and their actual participation in addition to the independent variables used in the previous analyses. 62 This multiple regression assesses the six post-tsunami perceptions and material damage variables listed above, participation in ongoing projects, and perceived value of ongoing projects and willingness to participate in proposed projects on the outcome of perceived value of proposed projects. The variable of willingness to participate is used here as a dependent variable also, in order to assess the correlation between the two proposed project variables while accounting for the interaction of perceptions of ongoing projects and post-tsunami perceptions and material damage. The model is significant overall at F9, 226 = 6.10, p 0.05 with R 2 = 0.20 a medium multivariate effect size. Table 14. Multiple Regression of Perceived Value of Proposed Projects for Individuals that Rated Ongoing Projects 17 Unstandardized Coefficients Standardized Coefficients B Std. Error β sr 2 unique Intercept 3.415 0.330 Perception of Fishing 0.014 0.153 0.006 0.00003 Fatalistic Thinking 0.054 0.022 0.155 0.022 Future Perception -0.016 0.035 -0.029 0.0008 Investment - 9,000 baht -0.023 0.047 -0.030 0.0009 Investment - 110,000 baht -0.077 0.046 -0.107 0.011 Tsunami damage to productivehousehold materials 0.003 0.023 0.007 0.00004 Participation in Ongoing Projects -0.013 0.105 -0.008 0.00005 Perceived Value of Ongoing Projects 0.325 0.054 0.374 0.135 Willingness to Participate in Proposed Projects 0.296 0.128 0.146 0.020 R 2 = 0.203 Adjusted R 2 = 0.170 R = 0.450 17 Note: Significant predictors are in bold p 0.05. = Significant predictor at p 0.05; = Significant predictor at p 0.01 63 The following three factors were statistically significantly related to perceived value of proposed projects at the p 0.05 level: fatalistic thinking t = 2.42 with a standardized beta weight of 0.155 and a small effect size sr 2 = 0.02; perceived value of ongoing projects t = 6.05 with a standardized beta weight of 0.37 and a medium effect size sr 2 = 0.14; and willingness to participate in proposed projects t = 2.31 with a standardized beta weight of 0.15 and a small effect size sr 2 = 0.02 Table 14. The squared semi-partial correlations sr 2 indicate that 14 is the unique variance contributed by perceived value of ongoing projects to the predictor variables in this model. Fatalistic thinking contributed 2 and willingness to participate in proposed projects contributed 2 unique variance the predictor variable of perceived value of proposed projects in this analysis. The results of this analysis indicate that more positive perceptions of proposed projects can be significantly predicted by a more positive perceived value of ongoing projects, greater fatalistic thinking and greater willingness to participate in proposed projects. The following multiple regression assesses the same variables as the previous analysis except the outcome of perceived value of proposed projects is used as an independent variable and predicted value of proposed projects is used as a dependent variable. The perceived value of proposed projects is used here as a dependent variable in order to assess the correlation between the two proposed project variables while accounting for the interactions of perceptions of ongoing projects and post-tsunami perceptions and material damage. The model is significant overall at F9, 226 = 2.49, p 0.05 with R 2 = 0.09 a small 64 multivariate effect size. The following two factors were statistically significant predictors of willingness to participate in proposed projects at the p 0.05 level: perception of the occupation of fishing t = 1.99 with a standardized beta weight of 0.14 and a small effect size sr 2 = 0.01 and perceived value of proposed projects t = 2.31 with a standardized beta weight of 0.17 and a small effect size sr 2 = 0.02 Table 15. Table 15. Multiple Regression of Willingness to Participate in Proposed Projects for Individuals that Rated Ongoing Projects 18 Unstandardized Coefficients Standardized Coefficients B Std. Error β sr 2 unique Intercept 0.0002 0.212 Perception of Fishing 0.158 0.079 0.140 0.017 Fatalistic Thinking 0.0006 0.012 0.003 0.00001 Future Perception 0.004 0.018 0.015 0.0002 Investment - 9,000 baht 0.021 0.025 0.057 0.003 Investment - 110,000 baht 0.044 0.024 0.124 0.014 Tsunami damage to productivehousehold materials 0.021 0.012 0.119 0.012 Participation in Ongoing Projects 0.048 0.055 0.058 0.003 Perceived Value of Ongoing Projects 0.003 0.030 0.008 0.00005 Perceived Value of Proposed Projects 0.082 0.035 0.166 0.022 R 2 = 0.094 Adjusted R 2 = 0.056 R = 0.307 As indicated by the squared semi-partial correlations sr 2 , 2 is the unique variance contributed by perceived value of proposed projects and 2 of the unique variance is contributed by attitudes toward fishing 2 to willingness to participate in proposed projects, the dependent variable. The results of this analysis indicate 18 Note: Significant predictors are in bold p 0.05. = Significant predictor at p 0.05; = Significant predictor at p 0.01 65 that greater willingness to participate in proposed projects is statistically significantly related to a more positive perceived value of proposed projects and more positive attitudes toward fishing. These two multiple regressions assess the factors that significantly predict more positive perceptions of proposed projects using only individuals that were familiar with at least one livelihood project that was ongoing at the time of the survey. This analysis indicates that more positive perceptions of ongoing projects, greater fatalistic thinking and more positive attitudes toward fishing will predict greater willingness to participate and more positive perceived value of proposed projects. As in the earlier analysis, greater willingness to participate and more positive perceptions of the value of proposed projects statistically significantly impact each other. In summary, several findings result from the statistical analysis of survey responses. Although the R 2 values are weak, with various tests identifying the same relationships, there is a basis for further investigation of these findings with data from key informant interviews and participant observations. In each of the multiple regressions, willingness to participate and perceived value of the project are positively related. Attitudes toward the occupation of fishing are significantly associated with the canonical variate as well as significantly predicting willingness to participate using all cases as well as cases that evaluate at least one ongoing project. Direct damage to productive and household materials is also significantly associated with the canonical variate as well as predicting willingness to participate in proposed projects. Fatalistic thinking is negatively associated with the canonical 66 variate and positively contributes to perceived value of projects assessing only responses of individuals that evaluate at least one ongoing project. Individuals’ perception of ongoing projects is also a predictor of willingness to participate in proposed projects analyzing only individuals that evaluated at least one livelihood project.

4.4. Participant Observation and Key Informant Interviews