Factors Influencing the Administration of Elderly Welfare Management in Song Phi Nong City Municipality, Song Phi Nong District Suphan Buri Province

Abstract

This research employed a quantitative survey methodology with the primary objectives of: 1) examining the factors influencing the administration and effectiveness of elderly welfare management in Song Phi Nong City Municipality, Song Phi Nong District, Suphan Buri Province; 2) comparing public perceptions of elderly welfare management administration in Song Phi Nong City Municipality, Song Phi Nong District, Suphan Buri Province, based on various personal factors; and 3) investigating the relationship between the influencing factors and the effectiveness of elderly welfare management administration within the same municipality. The sample comprised 348 residents aged 60 and above residing within Song Phi Nong City Municipality. Data collection was conducted using a 5-point Likert scale questionnaire.
The data were analyzed using descriptive statistics, which included frequency, percentage, mean, and standard deviation, along with inferential statistics, namely one-way analysis of variance (ANOVA) and correlation analysis. The research findings are revealed as follows:
1. The factors affecting the administration of elderly welfare management in Song Phi Nong City Municipality, Song Phi Nong District, Suphan Buri Province, were generally perceived to have been highly influential. The overall effectiveness of elderly welfare management within the municipality was considered to have been at a high level.
2. No statistically significant differences were found in public opinions on the administration of elderly welfare management based on gender, education level, or occupation. However, significant differences were observed among individuals with varying marital statuses and ages, with statistical significance at the 0.05 level.
3. Leading showed a strong positive correlation with the effectiveness of elderly welfare management administration. In contrast, planning, organizational management, and evaluation showed moderate positive correlations, with statistical significance at the 0.01 level.