3.6 Others.
After the data-gathering process was completed, the quantitative data was analyzed. The raw data from the observations and interviews were edited and coded; then translation of the data into numerical values and statements was performed. Statistical analysis of the quantitative data was then carried out by SPSS to produce frequency counts, percentages and cross-tabulations, and the results were tested using the frequency, mean, standard deviation, t test, and one-way ANOVA.
Data Analysis
This research was a study of Thai and international tourists in Chiang Mai Walking Street, Rajadamneun Road, and Chiang Mai province. It focused on satisfaction of management in Chiang Mai Walking Street activities, cultural tourism promotion, and Lanna Thai-style products. Data was collected by a sample questionnaire survey of 100 tourists, selected from a total population size of about 5,000 tourists each week. After processing, the data was analyzed using descriptive statistics (frequency, percentage, mean, and standard deviation) and statistically tested using one-way ANOVA. The quantitative survey was complemented by qualitative research carried out through in-depth interviews.
Part 1: Demographic Data of Respondents
The demographic data of the respondents was analyzed by gender, age, educational level, and occupation (as presented in Tables 1, 2, 3 and 4).
As shown in Table 1, the highest number and percentage of respondents based on gender was male (58 persons [58%]) and female (42 persons [42%]), respectively.
As shown in Table 2, the respondent samples in highest number (50 persons [50%]) were 30 years of age or below; followed by respondents representing ages between 31-40 years (28 persons [28%]); and lastly, were ages older than 41 years (21 persons [21%]).