and sports elements were used to me

and sports elements were used to measure activities. Twelve statements that represented home, recreation, food, and achievement elements were used to measure interests. Fourteen statements that represented elements of themselves, social issues, education, products, future, and culture measured opinions.

4. Result and discussion

4.1. Sample profile

The demographic profile of international tourists who participated in this study is summarized in Table 2. The majority of respondents was Asian foreign visitors (58.0%), male (65.9%), between 18 and
44 years old (82.5%), and employed (51.9%). The visitors traveled with friends (49.1%) and came to Jakarta for vacations (55.7%). Most of the respondents arranged their flight and accommodations themselves (75.8%), and nearly half had never been to Jakarta before (45.8%).

4.2. Analysis of dimensions underlying tourists' lifestyles

A factor analysis with a varimax rotation was employed to the
38 AIO statements to identify the underlying dimensions of tourists' lifestyle. Items with factor loading lower than 0.40 were removed (Lee et al., 2004), and the remaining items were factor analyzed again. The procedure was repeated until only items with a factor loading above
0.40 were attained. High factor loading values indicate high correlations between a factor and its individual items. Table 3 presents the result of factor analysis. Six factors had high reliability coefficients and eigenvalues greater than 1.00. These factors account for 62.55% of the total variance.
Reliability coefficients were computed for each of the factors. The first factor was labeled ‘Culture adventurous’, which explained 23.24% of the total variance, with a Cronbach's alpha value of 0.831. The first

Results (Indonesian) 1:

and sports elements were used to measure activities. Twelve statements that represented home, recreation, food, and achievement elements were used to measure interests. Fourteen statements that represented elements of themselves, social issues, education, products, future, and culture measured opinions.4. Result and discussion4.1. Sample profileThe demographic profile of international tourists who participated in this study is summarized in Table 2. The majority of respondents was Asian foreign visitors (58.0%), male (65.9%), between 18 and44 years old (82.5%), and employed (51.9%). The visitors traveled with friends (49.1%) and came to Jakarta for vacations (55.7%). Most of the respondents arranged their flight and accommodations themselves (75.8%), and nearly half had never been to Jakarta before (45.8%).4.2. Analysis of dimensions underlying tourists' lifestylesA factor analysis with a varimax rotation was employed to the38 AIO statements to identify the underlying dimensions of tourists' lifestyle. Items with factor loading lower than 0.40 were removed (Lee et al., 2004), and the remaining items were factor analyzed again. The procedure was repeated until only items with a factor loading above0.40 were attained. High factor loading values indicate high correlations between a factor and its individual items. Table 3 presents the result of factor analysis. Six factors had high reliability coefficients and eigenvalues greater than 1.00. These factors account for 62.55% of the total variance.Keandalan coefficients yang dihitung untuk masing-masing faktor. Faktor pertama dicap 'Budaya petualang', yang menjelaskan 23.24% dari total varians, dengan nilai alpha Cronbach 0.831. Pertama