Financial literacy of Filipino vroon vessel officers: basis for financial management orientation program/ Maria Crystal S. Ramos.--

By: Material type: TextPublication details: Parañaque City: Olivarez College, 2015.Subject(s): DDC classification:
  • T 658 2015 311
Dissertation note: Master Thesis Summary: This study was conducted for the purpose of determining the financial literacy of the Senior Officers of Vroon Vessels, particularly those under Livestock, Bitumen and Product Fleet. The descriptive correlational design using normative survey was was utilized in this study. The questionnaire served as the instrument for collecting data. It was adapted from the World Bank and was amended for the purpose of statistical treatment that underwent validated process by pool of validators that comprised four (4) Officers and one (1) Professor. A total of 82 respondents were involved in this study, of which 20 or 24.39% were Masters, 23 or 28.05% were Chief Engineers, 17 or 20.73% were Chief Mates and 22 or 26.83% were 2nd Engineers. Upon tallying and tabulating the gathered data, these were computed using statistical treatments such as frequency, percentage, weighted mean, chi square and Kendall's Coefficient of Concordance (W).
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Theses/Dissertation Graduate School Library Olivarez College Learning Resource Center T 658 2015 311 (Browse shelf) Available

Master Thesis

This study was conducted for the purpose of determining the financial literacy of the Senior Officers of Vroon Vessels, particularly those under Livestock, Bitumen and Product Fleet. The descriptive correlational design using normative survey was was utilized in this study. The questionnaire served as the instrument for collecting data. It was adapted from the World Bank and was amended for the purpose of statistical treatment that underwent validated process by pool of validators that comprised four (4) Officers and one (1) Professor. A total of 82 respondents were involved in this study, of which 20 or 24.39% were Masters, 23 or 28.05% were Chief Engineers, 17 or 20.73% were Chief Mates and 22 or 26.83% were 2nd Engineers. Upon tallying and tabulating the gathered data, these were computed using statistical treatments such as frequency, percentage, weighted mean, chi square and Kendall's Coefficient of Concordance (W).

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