## 3 Results  
### Descriptive Statistics, Reliability Analysis, and Validity Analysis  
During the survey period (1 July 2024, to 13 September 2024), 516 questionnaires were collected from visitors to six exemplary senior citizen centers in Yeongdo-gu, Busan. A total of 19 copies were deemed invalid owing to duplicate answers, missing information, or abnormally fast completion times. Subsequently, descriptive statistical analysis as well as reliability and validity analyses were conducted based on the remaining 497 valid surveys. Figure 4: Research process (created by the research team). Figure 3: Coding survey respondent information (created by the research team). Table 4 shows the distribution of the participants by gender, age group, type of eldercare system, membership status, and number of visits per week. Among the respondents, 56.5% were men and 43.5% women. The age distribution revealed that the majority of the respondents were aged 65-69 years (63.6%), followed by those aged 70-79 years (27.6%), 80-89 years (8.2%), and 90 years or older (0.6%). Regarding the chosen type of eldercare system, 36.6% opted for home-based care, 47.9% for community-based care, and 15.5% for institutional care. In terms of membership status, 81.5% (405) were members, while 18.5% (92) were non-members. Concerning the frequency of visits per week, those who visited 1-2 times accounted for the highest proportion with 259 respondents (52.1%), followed by 183 respondents (36.8%) who visited 3-4 times, and 55 (11.1%) who visited five or more times. To analyze the motivations for using senior citizen centers based on the type of eldercare system, this study categorized the data groups according to the type of eldercare system (Group Y-1: home-based care, Group Y-2: community-based care, and Group Y-3: institutional care) and then assessed the reliability and validity by calculating the Cronbach's alpha and Kaiser-Meyer-Olkin (KMO) values. The results showed that all variables in the Y-1, Y-2, and Y-3 data groups had Cronbach's alpha values exceeding 0.8, indicating high internal consistency (Tables 5 and 6). In addition, the KMO value was 0.8 or higher, confirming that the data were suitable for factor analysis. The _p_-value of [PERSON]'s test of sphericity was below 0.001, which verified that the correlation between the data was statistically significant. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Category** & **YR** & **DS** & **SS** & **GJ** & **DW** & **ISD** \\ \hline Gender (male/female) & 8.7/7.2 & 9.1/6.8 & 10.8/6.1 & 9.9/7.6 & 12.2/10.7 & 5.8/5.1 \\ Age & & & & & & \\ (65-69/70-79/ & 80-89/ 90 & 10.2/4.7/1.0/0.0 & 8.7/5.6/1.4/0.2 & 11.9/3.8/1.2/0.0 & 13.1/24/1.8/0.2 & 12.3/8.5/2.0/0.2 & 7.4/2.6/0.8/0.0 \\ and older) & & & & & & \\ Eldercare system (home/community/ & 5.1/9.1/1.8 & 6.0/7.4/2.4 & 7.1/7.2/2.6 & 5.8/8.7/3.1 & 8.2/10.7/4.0 & 4.4/4.8/1.6 \\ institutional care) & & & & & & & \\ Membership status (member/ & 13.1/2.8 & 11.9/4.0 & 13.9/3.0 & 14.1/3.4 & 19.6/3.2 & 8.9/2.1 \\ non-member) & & & & & & & \\ Number of visits per week & & & & & & \\ (1–2/3-4/5 or more) & & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Status of senior citizen center users (unit: %).