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All Journal International Journal of Global Operations Research International Journal of Ethno-Sciences and Education Research
Khairi, M. Ihsan
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Transportation Other

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Application of Structural Equation Model to Analyze Factors Affecting Financial Planning After Retirement Khairi, M. Ihsan; Susanti, Dwi; Sukono, Sukono
International Journal of Global Operations Research Vol. 2 No. 3 (2021): International Journal of Global Operations Research (IJGOR), August 2021
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v2i3.87

Abstract

Retirement is something that every working individual will experience. Retirement according to the Big Indonesian Dictionary (KBBI) is not working anymore because the term of office has finished. A person who has retired usually has the right to a pension fund. After retirement, the individual's income will decrease, but the necessities of life can increase. In order to still be able to meet the needs of life after retirement, it is necessary to have financial planning after retirement. There are several factors that influence financial planning after retirement, including income, attitude and culture. Income is an important issue in financial planning. One thing to consider carefully when planning for retirement and setting aside funds for that purpose is the estimate of the amount of money needed to have the expected quality of life in retirement. Attitude towards retirement planning is an internal psychological condition that is influenced by positive or negative assessments related to retirement planning. Cultural differences will result in different financial plans between individuals. In this study, the Structural Equation Model will be used to analyze the factors that influence financial planning after retirement for teachers in several schools in Tanah Datar Regency, West Sumatra. This study uses quantitative methods using a questionnaire as a data collection tool. Based on the collected questionnaires, simulations were carried out to obtain 170 data randomly. To facilitate data analysis, the AMOS application will be used. The results showed that these three factors had a significant effect on financial planning after retirement. The most influential factor on financial planning after retirement is culture with a parameter value of 0.639.
Study on Structural Equation Modeling for Analyzing Data Khairi, M. Ihsan; Susanti, Dwi; Sukono, Sukono
International Journal of Ethno-Sciences and Education Research Vol. 1 No. 3 (2021): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v1i3.295

Abstract

Structural Equation Model (SEM) is a combination of two separate statistical methods, namely factor analysis developed in psychology and psychometry and simultaneous equation model developed in econometrics. Factor analysis was first introduced by Galton in 1869 and Pearson (Pearson and Lee, 1904). Spearman's (1904) research is the development of a general factor analysis model in his research relating to the structure of mental abilities, Spearman stated that the intercorrelation test between mental abilities can determine general ability factors and special ability factors. SEM is a combination of factor analysis and path analysis into one comprehensive statistical method. Path analysis itself is the forerunner of the structural equation of Sewwl Wright's research in the field of biometrics. Wright's contribution is to be able to show that the correlation between variables is related to the parameters of a model described by a path (path diagram). In SEM there are 2 variables, namely latent variables (exogenous and endogenous) and indicator variables. SEM has 2 equation models, namely the measurement equation model and the structural equation model. SEM also has 2 errors, namely the error for the measurement equation model and the error for the structural equation model. In general, SEM is formed from the relationship between latent variables and their respective indicator variables. To test whether the existing indicator variables are valid indicators for measuring the latent construct, Confirmatory Factor Analysis (CFA) is used. Data analysis with SEM must meet the existing SEM assumptions. The model feasibility test is carried out based on the goodness of fit criteria. The stages in SEM analysis are theoretical model development, flow chart drawing, flow chart conversion into equation form, input matrix and model parameter estimation techniques, model problem identification, evacuating model parameter estimates, model interpretation and model modification.
Co-Authors Dwi Susanti Sukono .