Job and Career Satisfaction of Foreign Self-Initiated Expatriates Because of worker shortages in some industries, in a global business envi- ronment, rms around the world sometimes must compete with overall satisfaction with their career on the same 7-point scale. The ratings are broken down by the respondents experience in the host country and age and the resultant data are shown below. Time in Host Country 61 year 12 years 34 years 5 years each other for 3 4 3 6 workers. This is especially true in industries and job designa- 3039 2 5 4 4 tions where specialty skills are required. In order to ll such 3 3 5 5 needs, companies sometimes turn to self-initiated expatriates. 4 3 4 4 Self-initiated expatriates are dened to be workers who are Age 4049 3 4 4 6 hired as individuals on a contractual basis to work in a foreign 2 3 5 5 countryin contrast to individuals who are given overseas 4 4 5 6 transfers by a parent organization; that is, they are guest Over 50 3 4 4 5 workers as compared to organizational expatriates. Some 4 5 5 6 examples could be computer experts from India, China, and Japan being hired by Silicon Valley companies; American engi- neers working with Russian companies to extract oil and gas; or nancial experts from England who are hired by Singapore companies to help manage the stock market. How satised are self-initiated expatriates with their jobs and their careers? In an attempt to answer that question, suppose a study was conducted by randomly sampling self-initiated expatriates in ve industries: information technology (IT), nance, educa- tion, healthcare, and consulting. Each is asked to rate his or her present job satis- faction on a 7-point Likert scale, with 7 being very satised and 1 being very unsatised. Suppose the data shown below are a portion of the study. IT Finance Education Healthcare Consulting 5 3 2 3 6 6 4 3 2 7 5 4 3 4 5 7 5 2 3 6 4 2 5 3 Suppose in addition, self-initiated expatriates are asked to report their Managerial and Statistical Questions 1. Is there a difference in the job satisfaction ratings of self-initiated expatriates by industry? If we were to use the t test for the difference of two independent population means presented in Chapter 10 to analyze these data, we would need to do 10 different t tests since there are ve different industries. Is there a better, more parsimonious way to analyze this data? Can the analysis be done simultaneously using one technique? 2. The second table in the Decision Dilemma displays career satisfaction data broken down two different ways, age and time in country. How does a researcher analyze such data when there are two different types of groups or classications? What if one variable, such as age, acts on another variable, such as time in the country, such that there is an interaction? That is, time in the country might matter more in one category than in another. Can this effect be measured and if so, how