Structural Equation Modeling On the Calculation of Motorcycle Ownership Index Using Amos Software

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Structural Equation Modeling On the Calculation of Motorcycle Ownership Index Using Amos Software

Journal Title: IOSR journal of Business and Management - Year 2018, Vol 20, Issue 4

Abstract

Motorcycle is one of the mainstay models of lower middle-income families to suit transportation need since motorcycle has a relatively affordable price. Thus, inflation phenomena of the number of motorcycles occur in almost all regions in Indonesia, even for low-income community in Makassar. The high frequency of travel and distance from the residence to the workplace and the existence of some areas of metro activity center becoming the community magnetism to go out and do some traveling activities is the citizens’ main reason to make every endeavor to own a motorcycle. In this study, structural equation modeling was used to analyze the relationship between motorcycle ownership and travel characteristics. The SEM analysis was used to determine the best model on the calculation of motorcycle ownership index of low-income communities on travel characteristics. The method used in collecting data was judgment sampling method. Data were collected by distributing questionnaires to low-income communities in Makassar. To analyze the data, the researcher used SEM method with AMOS software. SEM analysis has seven stages: (1) development of theoretical model, (2) development of path diagram, (3) conversion of path diagram to structural equation, (4) selecting the matrix input and the estimate type, (5) identifying model, (6) assessing the criteria of goodness of fit, and (7) interpreting the results. Those stages aimed to measure the motorcycle ownership index of low-income communities on travel characteristics. Based on the research result, motorcycle ownership of low-income communities on travel characteristics had high index value of 99.3%. This figure showed a high value, this means motorcycle ownership of low-income communities in Makassar was quite high.

Authors and Affiliations

Asma Massara, Abdul Hakim, Achmad Wicaksono, Lambang Basri

Keywords

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EP ID EP410215
DOI 10.9790/487X-2004043543.
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