Structural Equation Model of Farmer’s Quality of Life

Abstract

This research aims to analyze the Structural Equation Model of Farmer's Quality of Life. The sample group consisted of agriculture and farmers in the target areas of Sakon Nakhon Rajabhat University, amounting to 10 sub-districts, and 300 persons. The research tool was a questionnaire. Data analysis using Structural Equation Model Analysis (SEM). The results showed that the integrated causal factor structure influencing farmers’ quality of life was consistent with the empirical data. Determined from the harmonization index, it consists of χ²= 585.945, df= 387, P-Value = 0.085, CFI =0.921, TLI= 0.936, SRMR= 0.024, RMSEA=0.048 and χ²/df = 1.514. Every variable has a construct reliability value ( ) Between 0.965-0.998 above the threshold (0.60), construct validity values meet the specified criteria. The indicator had an element weight between 0.445-0.976, statistically significant at 0.01 level for all of them, Residual values are between 0.040-5.579. The accuracy (R2) of the structural equation affecting farmers’ quality of life was 0.775. All variables in the model together predicted the farmers’ quality of life by 77.50% with statistical significance at a 0.01 level. The variable that directly affects farmers' quality of life the most is governmental support (G). The most indirect influencing variable was the sufficiency economy lifestyle (S). Together, all variables in the model accounted for 82.70 percent of the latent variables in quality-of-life variance. In addition, guidelines for promoting and improving the farmers’ quality of life found that: Improving the farmers’ quality of life and peasants should first focus on economic development because if the economy is good, it will result in health, education, housing, family, recreation, good spirits. The approach that should be promoted is to adjust farmers' attitudes towards living under the principles of sufficiency economy, self-sufficiency, and dependence without being tied to government policies, organic farming, and refrain from applying chemical fertilizers, and using chemicals. poison, etc.