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Table 1.1. frequency of id id | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | 1 | 1 | 1.0 | 1.0 | 1.0 | | 2 | 1 | 1.0 | 1.0 | 2.0 | | 3 | 1 | 1.0 | 1.0 | 3.0 | | 4 | 1 | 1.0 | 1.0 | 4.0 | | 5 | 1 | 1.0 | 1.0 | 5.0 | | 6 | 1 | 1.0 | 1.0 | 6.0 | | 7 | 1 | 1.0 | 1.0 | 7.0 | | 8 | 1 | 1.0 | 1.0 | 8.0 | | 9 | 1 | 1.0 | 1.0 | 9.0 | | 10 | 1 | 1.0 | 1.0 | 10.0 | | 11 | 1 | 1.0 | 1.0 | 11.0 | | 12 | 1 | 1.0 | 1.0 | 12.0 | | 13 | 1 | 1.0 | 1.0 | 13.0 | | 14 | 1 | 1.0 | 1.0 | 14.0 | | 15 | 1 | 1.0 | 1.0 | 15.0 | | 16 | 1 | 1.0 | 1.0 | 16.0 | | 17 | 1 | 1.0 | 1.0 | 17.0 | | 18 | 1 | 1.0 | 1.0 | 18.0 | | 19 | 1 | 1.0 | 1.0 | 19.0 | | 20 | 1 | 1.0 | 1.0 | 20.0 | | 21 | 1 | 1.0 | 1.0 | 21.0 | | 22 | 1 | 1.0 | 1.0 | 22.0 | | 23 | 1 | 1.0 | 1.0 | 23.0 | | 24 | 1 | 1.0 | 1.0 | 24.0 | | 25 | 1 | 1.0 | 1.0 | 25.0 | | 26 | 1 | 1.0 | 1.0 | 26.0 | | 27 | 1 | 1.0 | 1.0 | 27.0 | | 28 | 1 | 1.0 | 1.0 | 28.0 | | 29 | 1 | 1.0 | 1.0 | 29.0 | | 30 | 1 | 1.0 | 1.0 | 30.0 | | 31 | 1 | 1.0 | 1.0 | 31.0 | | 32 | 1 | 1.0 | 1.0 | 32.0 | | 33 | 1 | 1.0 | 1.0 | 33.0 | | 34 | 1 | 1.0 | 1.0 | 34.0 | | 35 | 1 | 1.0 | 1.0 | 35.0 | | 36 | 1 | 1.0 | 1.0 | 36.0 | | 37 | 1 | 1.0 | 1.0 | 37.0 | | 38 | 1 | 1.0 | 1.0 | 38.0 | | 39 | 1 | 1.0 | 1.0 | 39.0 | | 40 | 1 | 1.0 | 1.0 | 40.0 | | 41 | 1 | 1.0 | 1.0 | 41.0 | | 42 | 1 | 1.0 | 1.0 | 42.0 | | 43 | 1 | 1.0 | 1.0 | 43.0 | | 44 | 1 | 1.0 | 1.0 | 44.0 | | 45 | 1 | 1.0 | 1.0 | 45.0 | | 46 | 1 | 1.0 | 1.0 | 46.0 | | 47 | 1 | 1.0 | 1.0 | 47.0 | | 48 | 1 | 1.0 | 1.0 | 48.0 | | 49 | 1 | 1.0 | 1.0 | 49.0 | | 50 | 1 | 1.0 | 1.0 | 50.0 | | 51 | 1 | 1.0 | 1.0 | 51.0 | | 52 | 1 | 1.0 | 1.0 | 52.0 | | 53 | 1 | 1.0 | 1.0 | 53.0 | | 54 | 1 | 1.0 | 1.0 | 54.0 | | 55 | 1 | 1.0 | 1.0 | 55.0 | | 56 | 1 | 1.0 | 1.0 | 56.0 | | 57 | 1 | 1.0 | 1.0 | 57.0 | | 58 | 1 | 1.0 | 1.0 | 58.0 | | 59 | 1 | 1.0 | 1.0 | 59.0 | | 60 | 1 | 1.0 | 1.0 | 60.0 | | 61 | 1 | 1.0 | 1.0 | 61.0 | | 62 | 1 | 1.0 | 1.0 | 62.0 | | 63 | 1 | 1.0 | 1.0 | 63.0 | | 64 | 1 | 1.0 | 1.0 | 64.0 | | 65 | 1 | 1.0 | 1.0 | 65.0 | | 66 | 1 | 1.0 | 1.0 | 66.0 | | 67 | 1 | 1.0 | 1.0 | 67.0 | | 68 | 1 | 1.0 | 1.0 | 68.0 | | 69 | 1 | 1.0 | 1.0 | 69.0 | | 70 | 1 | 1.0 | 1.0 | 70.0 | | 71 | 1 | 1.0 | 1.0 | 71.0 | | 72 | 1 | 1.0 | 1.0 | 72.0 | | 73 | 1 | 1.0 | 1.0 | 73.0 | | 74 | 1 | 1.0 | 1.0 | 74.0 | | 75 | 1 | 1.0 | 1.0 | 75.0 | | 76 | 1 | 1.0 | 1.0 | 76.0 | | 77 | 1 | 1.0 | 1.0 | 77.0 | | 78 | 1 | 1.0 | 1.0 | 78.0 | | 79 | 1 | 1.0 | 1.0 | 79.0 | | 80 | 1 | 1.0 | 1.0 | 80.0 | | 81 | 1 | 1.0 | 1.0 | 81.0 | | 82 | 1 | 1.0 | 1.0 | 82.0 | | 83 | 1 | 1.0 | 1.0 | 83.0 | | 84 | 1 | 1.0 | 1.0 | 84.0 | | 85 | 1 | 1.0 | 1.0 | 85.0 | | 86 | 1 | 1.0 | 1.0 | 86.0 | | 87 | 1 | 1.0 | 1.0 | 87.0 | | 88 | 1 | 1.0 | 1.0 | 88.0 | | 89 | 1 | 1.0 | 1.0 | 89.0 | | 90 | 1 | 1.0 | 1.0 | 90.0 | | 91 | 1 | 1.0 | 1.0 | 91.0 | | 92 | 1 | 1.0 | 1.0 | 92.0 | | 93 | 1 | 1.0 | 1.0 | 93.0 | | 94 | 1 | 1.0 | 1.0 | 94.0 | | 95 | 1 | 1.0 | 1.0 | 95.0 | | 96 | 1 | 1.0 | 1.0 | 96.0 | | 97 | 1 | 1.0 | 1.0 | 97.0 | | 98 | 1 | 1.0 | 1.0 | 98.0 | | 99 | 1 | 1.0 | 1.0 | 99.0 | | 100 | 1 | 1.0 | 1.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.2. frequency of gender Gender | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | Male | 48 | 48.0 | 48.0 | 48.0 | | Female | 52 | 52.0 | 52.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.3. frequency of hope1 hope1 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 11 | 11.0 | 11.0 | 11.0 | | agree | 24 | 24.0 | 24.0 | 35.0 | | neither agree nor disagree | 24 | 24.0 | 24.0 | 59.0 | | disagree | 31 | 31.0 | 31.0 | 90.0 | | strongly disagree | 10 | 10.0 | 10.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.4. Frequency of hope2 hope2 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 16 | 16.0 | 16.0 | 16.0 | | agree | 23 | 23.0 | 23.0 | 39.0 | | neither agree nor disagree | 24 | 24.0 | 24.0 | 63.0 | | disagree | 24 | 24.0 | 24.0 | 87.0 | | strongly disagree | 13 | 13.0 | 13.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.5. Frequency of hope3 hope3 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 13 | 13.0 | 13.0 | 13.0 | | agree | 17 | 17.0 | 17.0 | 30.0 | | neither agree nor disagree | 25 | 25.0 | 25.0 | 55.0 | | disagree | 32 | 32.0 | 32.0 | 87.0 | | strongly disagree | 13 | 13.0 | 13.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.6. Frequency of hope4 hope4 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 6 | 6.0 | 6.0 | 6.0 | | agree | 27 | 27.0 | 27.0 | 33.0 | | neither agree nor disagree | 27 | 27.0 | 27.0 | 60.0 | | disagree | 23 | 23.0 | 23.0 | 83.0 | | strongly disagree | 17 | 17.0 | 17.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.7. Frequency of hope5 hope5 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 10 | 10.0 | 10.0 | 10.0 | | agree | 26 | 26.0 | 26.0 | 36.0 | | neither agree nor disagree | 34 | 34.0 | 34.0 | 70.0 | | disagree | 22 | 22.0 | 22.0 | 92.0 | | strongly disagree | 8 | 8.0 | 8.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.8. Frequency of hope6 hope6 | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | strongly agree | 11 | 11.0 | 11.0 | 11.0 | | agree | 18 | 18.0 | 18.0 | 29.0 | | neither agree nor disagree | 33 | 33.0 | 33.0 | 62.0 | | disagree | 29 | 29.0 | 29.0 | 91.0 | | strongly disagree | 9 | 9.0 | 9.0 | 100.0 | | Total | 100 | 100.0 | 100.0 | |

Table 1.9. Skewness and kurtosis of total hope Descriptives | | Statistic | Std. Error | totalhope | Mean | 18.3200 | .31968 | | 95% Confidence Interval for Mean | Lower Bound | 17.6857 | | | | Upper Bound | 18.9543 | | | 5% Trimmed Mean | 18.3556 | | | Median | 18.0000 | | | Variance | 10.220 | | | Std. Deviation | 3.19684 | | | Minimum | 9.00 | | | Maximum | 25.00 | | | Range | 16.00 | | | Interquartile Range | 5.00 | | | Skewness | -.171 | .241 | | Kurtosis | -.314 | .478 |

Table 2.0. Kolmogorov-smirnov and shapiro-wilk of test of normality Tests of Normality | | Kolmogorov-Smirnova | Shapiro-Wilk | | Statistic | df | Sig. | Statistic | df | Sig. | totalhope | .080 | 100 | .113 | .983 | 100 | .235 | a. Lilliefors Significance Correction |

totalhope Stem-and-Leaf Plot

Frequency Stem & Leaf

1.00 9 . 0 .00 10 . .00 11 . 2.00 12 . 00 3.00 13 . 000 7.00 14 . 0000000 5.00 15 . 00000 12.00 16 . 000000000000 12.00 17 . 000000000000 9.00 18 . 000000000 12.00 19 . 000000000000 9.00 20 . 000000000 11.00 21 . 00000000000 7.00 22 . 0000000 5.00 23 . 00000 4.00 24 . 0000 1.00 25 . 0

Stem width: 1.00 Each leaf: 1 case(s)

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...or the “Observation Technique” that can get information including the production costs, the sales of the Binagol in their respective main ports in Leyte, the information of the Talyan plantation as well as the farmers involved, and other key players (distributors, suppliers, manufacturers, logistics etc.) who involved in the flow of supply chain in Binagol. The other data which were the secondary one was gathered through Cluster Sampling. This type is more cost-effective to select respondents in groups or “clusters” based on the main ports they belonged. The statistical data will be computed and analyzed through SPSS Statistics, is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services). It contained the information given by a statistical record of the Binagol industry including the SMEs and the assigned major ports in Leyte, the news updates and its feature...

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...collecting the data of “tenure” or “age”, please ask participants to fill the actual number (e.g., 33 years old). Do not use the categorical responses (e.g., 1-5 years, 6-10 years, 11-15 years…), which will reduce some useful information. ↑ Open a new excel file. Build the coding sheet based on the order of questions/items (e.g., to1-to3, ns1-ns3…) from the left side to the right side. Then key in the data of each questionnaire item by item. When coding the data, please pay attention to the five tips highlighted above. 1 Graduate Institute of Human Resource Management, NSYSU Research Method (I), 2013: Data coding, reliability, and EFA All Rights Reserved by Prof. Nai-Wen Chi II. How to input the excel file in the SPSS program? ↑Open the SPSS program, if you see above window, just click “cancel” then go to following steps. ↑When you go to the main window, check “file”→ “open” → “data” on the menu. 2 Graduate Institute of Human Resource Management, NSYSU Research Method (I), 2013: Data coding, reliability, and EFA All Rights...

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