Demographic Information Hypotheses to Be Tested Data Collection

ISSN 2086-5953 3. How about the conditions where you work? 4. How about your wage, are you paid with fair? 5. How do you think about the accordance of employment contracts with your work? 6. How about the chance for leisure time? 7. How about the chance for praying at prays time?

2.2 Life Satisfaction

In the data set used here, life satisfaction is measured in terms of five levels Likert scale ranging from ‗very good‘ to ‗very bad‘ adopted from Life Satisfaction Survey LSS. Then we can estimate the following empirical model: ‗very good‘, ‗fairly good‘, ‗neither good nor bad‘, ‗fairly bad‘, and ‗very bad‘ which the participant also must respond. The eight-questionnaire items of life satisfaction listed as following. Eight-questionnaire items listed separately as following: 1. How about your dreams, hopes and ideals? 2. How about your optimists‘ value? 3. When you feeling anxious or depressed, how about your ability to calm down? 4. How about your ability to find positive ways when deal with stress? 5. How do you feel happy about your relationship with your family? 6. How about your life balanced between works with your personal life? 7. How about your emotionpsychology in daily life? 8. How about attitude in your life with gratitude?

2.3 Demographic Information

The questionnaire items related with the respondents are included at the last section of the entire questionnaire. 1. age of the respondent 2. hometown of the respondent 3. marriage status of the respondent 4. education background level of the respondent 5. occupation of the respondent 6. working period of the respondent 7. work location of the respondent.

2.4 Hypotheses to Be Tested

Numerous sets of research hypotheses were developed in this study for the following empirical validation: H1: There is differentiation between education backgrounds to job satisfaction H2: There is differentiation between education backgrounds to life satisfaction H3: Working period would be positively related to job satisfaction H4: Working period would be positively related to life satisfaction H5: Job satisfaction would be positively related to life satisfaction H6: Job satisfaction would mediate the relation between working period and life satisfaction. 3 RESULT This section is to present the basic part of the characteristics of the research variables, analysis, and empirical results. To measure the construct measurement, validity test by using factor analysis and reliability test by using internal consistency Cronbach‘s Alpha were examined. Correlation analysis, one-way ANOVA and regression analysis examined to test the hypotheses. Reliability coefficients for all measures was satisfactory Cronbach‘s alpha .70 and above.

3.1 Data Collection

This research adopted convenience survey in the period from 25 th April to 16 th May 2010. The questionnaires were distributed to a sample of five hundred 500 female Indonesian migrant workers in Taipei, Taoyuan, Hsincu, Taichung, Chiayi, Tainan, Kaohsiung and Pintung. Two hundred and eighty four 284 data were collected, mostly from Taipei City which 118 data were drawn. This research use proportioned cluster sample. According to National Immigration Agency April 2010, there were total 128.638 female Indonesian in Taiwan with distributed into 5 sectors: Northern Taiwan, Central Taiwan, Southern Taiwan, Eastern Taiwan, and Island area. Total female Indonesian population in Northern Taiwan were 51.67, in Eastern Taiwan were 4.69, in Central Taiwan were 21.17, in Southern Taiwan were 21.79, and in island outside Formosa Island were 0.68. It was difficult to get respondent from Eastern Taiwan and Islands sectors, then we joined Eastern Taiwan with Northern Taiwan total 56.36 and also Islands area with Southern Taiwan total 22.47. This study tries to get near to population percentage. We collected 284 samples from various place in Taiwan with 56.34 of respondents are from Northern Taiwan, 21.13 are from Central Taiwan, and 22.54 are from Southern Taiwan. Table 2 show the distribution of the population and sample which indicate that between population and sample almost has same total area percentage. ISSN 2086-5953 Table 2. Statistical-geographic population distribution of female Indonesian and sample of research Population Sample CountyCity N CountyCity N Taoyuan County 12.425 Taoyuan 19 Hsincu County 4.05 Chungli 20 Keelung City 2.191 Hsinchu 3 Hsinchu City 3.567 56.36 56.34 Taipei City 23.853 Ilan County 2.901 Taitung County 1.001 Hualien County 2.125 Mioli County 3.915 Taichung 60 Taichung County 7.64 Changhua County 5.96 21.17 21.13 Nantou County 2.789 Taichung City 6.929 Yunlin County 3.909 Chiayi 7 Chiayi County 2.965 Tainan 7 Tainan County 4.095 Kaohsiung 46 Kaohsiung County 4.011 Pingtung 4 Pintung County 3.387 Chiayi City 1.323 22.47 22.54 Tainan City 3.105 Kaohsiung City 5.237 Penghu County 489 Kimen County 307 Lienchiang County 81 Total 128.638 100 Total 284 100

3.2 Characteristics of Respondents