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Journal of Chinese
            Architecture and Urbanism                                      Standards for rural residential façades and areas



            2.6. Evaluation factor reliability and validity testing  Table 4. Attributes of respondents

            The reliability and validity of the scales used in this study were   Situation  Type  Number of   Percentage
            assessed to ensure their accuracy. Cronbach’s alpha coefficient                people      (%)
            was calculated to assess the reliability of the importance and   Birthplace  Native  65    39.39
            performance scales. Reliability and validity analyses were     Non-native       100        60.61
            conducted using SPSS 27 on the 14 factors of importance and   Age  Under 18 years   2      1.21
            performance. The Cronbach’s alpha values were 0.963 for the    old
            importance factors and 0.960 for the performance factors,      18 – 30 years old  63       38.18
            both exceeding the threshold of 0.7, indicating high reliability
            for both scales. Furthermore, the Kaiser–Meyer–Olkin value     30 – 40 years old  50       30.30
            was 0.810, exceeding the recommended threshold of 0.8,         40 – 50 years old  36       21.82
            signifying that the data were suitable for factor extraction   Over 50 years old  14       8.49
            and demonstrated robust validity.                  Educational   Junior high     3         1.82
                                                               background  school and below
            3. Results                                                     Senior high       3         1.82
                                                                           school
            3.1. Demographic characteristics of respondents
                                                                           College degree   159        96.36
            This study analyzed the demographic characteristics of         and above
            the respondents to assess whether the sample composition
            accurately reflects the population characteristics (Kwon   Table 5. Importance and performance analysis of elements
            et al., 2016). The effective sample population exhibits the
            following key characteristics:                     Elements   Importance Performance  Importance‑
                                                                                              performance analysis
              First, 60.61 percent of respondents were non-local   Entrance  4.08     3.56          0.52
            residents of Suzhou, reflecting the city’s significant
            immigrant population. Suzhou’s attraction as a destination   Wall  4.21   3.78          0.43
            for work or study enriches its diversity. This diversity   Windows and   4.25  3.78     0.47
            enhances the comprehensiveness of the research findings,   doors
            indicating that the conclusions drawn from this study may   Roof  3.97    3.88          0.09
            be applicable to rural areas in other regions. Furthermore,   Detail  3.82  3.76        0.06
            these insights provide valuable guidance for Suzhou’s   Environment  4.17  3.75         0.42
            future development.                                Overall mean   4.08    3.75          0.33
                                                               values
              Second, respondents aged 18 – 30 years old constituted
            the largest group (63 respondents, or 38.18%). This age cohort
            represents  a crucial  demographic  for rural  revitalization   > Environment > Entrance > Roof > Detail. The scores
            efforts, as their perspectives are critical for effectively   for these elements ranged from 3.82 to 4.25, with
            implementing changes  in  rural  housing and  community   Windows and Doors, Wall, and Environment receiving
            development. The second largest groups were those aged 30 –   significantly higher  importance ratings. Conversely,
            40 (50 respondents, or 30.30%) and 40 – 50 (36 respondents,   the detail score was markedly lower than the other
            21.82%). These age groups play a pivotal role in shaping the   elements, indicating that residents prioritize functional
            current state of rural residential development, as their needs   aspects, such as walls, doors, and windows, over finer
            significantly influence the appearance of rural house façades   architectural details.
            and environments (Table 4).                          In  terms  of performance,  the  ranking  is:  Roof >
                                                               Windows and doors = Wall > Detail > Environment >
            3.2. Importance and performance analysis           Entrance. Performance scores ranged from 3.56 to 3.88,
            Based on the survey data, statistical values were compiled to   with the Roof, Walls, and Windows and doors achieving
            assess the importance and performance of various elements   the higher performance scores. Notably, Entrance had the
            as perceived by residents in Suzhou. The importance and   lowest performance score.
            performance rating was derived from the mean values of   A significant negative correlation was observed between
            respective indexes (Table 5).                      the importance and performance of the Roof element,
              From the perspective of importance, the rankings   while Windows and doors and Wall elements exhibited
            of elements are as follows: Windows and doors > Wall   positive correlations.


            Volume 7 Issue 1 (2025)                         7                        https://doi.org/10.36922/jcau.5719
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