References: Apics (2005). Apics Dictionary, (11th ed). Alexandria, VA: Apics. Cooper, D., & Schindler, P. (2003). Business Research Methods (8th ed.). New York: The McGraw-Hill Companies. Dube, Arindrajit., & Jacobs, Ken. (2004). Hidden Cost of Wal-Mart Jobs. Retrieved online October 18, 2008, from site: http://www.dsausa.org/lowwage/walmart/2004/walmart%20study. html database. Health Care. Retrieved October 18, 2008, from http://walmartwatch.com/pages/healthcare#background Hexhunterkid , (2006). Progressiveu.org. Wal-Mart: Rolling Back America. part 1: low wages, high turnover. Retrieved, October 18, 2008, from http://www.progressiveu.org/171941-wal-mart-rolling-back-america-part-1-low-wages-high-turnover Jain, C. (2004). The Journal of Business Forecasting Methods and Systems. Retrieved October 18, 2008 from ProQuest. Kofinis, Chris (2007). New internal documents show Wal-mart forced to change attendance policy. Retrieved October 20, 2008, 2007, from http://wakeupwalmart.com/press/20061117a.html Lin, Y. (2003). The effects of employees’ perceptions of leader’s leadership style on the job satisfaction of employees at small and medium enterprises in Taiwan. Retrieved October 18, 2008 from ProQuest. Lind, D., Marchal, W., and Wathen S. (2004). Statistical Techniques in Business & Economics (12th ed.). New York: The McGraw-Hill Companies. MarketLine Business Information Center. Wal-Mart Retrieved September 28, 2008 from EBCOShost database. Wal-Mart Watch. (2005). Low Prices at High Cost: Who Really Pays For Wal-Mart Workers ' Health Care. Retrieved October 18, 2008, from http://walmartwatch.com/pages/healthcare#background Wal-mart State by State Information, Retrieved October 17, 2008 from: http://walmartstores.com/FactsNews/StateByState/State.aspx?id=4 Appendix A Strongly Neither Disagree Strongly Disagree Disagree Nor Agree Agree Agree 1 2 3 4 5 I feel I am being paid a fair amount for the work I do. 1 2 3 4 5 Raises are too few. 1 2 3 4 5 I feel satisfied with my chances for salary increases. 1 2 3 4 5 My supervisor is unfair to me. 1 2 3 4 5 I like my supervisor. 1 2 3 4 5 I am not satisfied with the benefits I receive. 1 2 3 4 5 The benefit package we have is satisfactory. 1 2 3 4 5 I would be very happy to spend the rest of my career 1 2 3 4 5 with Wal-Mart. Gender: Male Female Age: 15-19 20-29 30-39 40-49 50 and over Education: High School College How long have you worked with your present supervisor? years and months Prior experience in retail stores? No Yes If yes, how long? _years and months Appendix B {draw:frame} Note: n = is the size of the sample Z = is the standard normal value corresponding to the desired level of confidence S = in an estimate of the population deviation E = maximum allowable margin of error Appendix C {draw:frame} Note: Z = is the standard normal value corresponding to the desired level of confidence X = is the mean of the sample. {draw:line} u =is the hypothesized population mean. {draw:line} s = is the standard deviation of the sample. {draw:line} n = is the number of observations in the sample. Appendix D A stepwise multiple regression analysis of job satisfaction of pay *p<.05 The table above describes a statistically significant in overall perceived leadership styles predicting the job satisfaction of pay (R²=.23, F=162.317, P<.05). The standardized regression coefficient (Beta) of transformational leadership style was .513 (T=13.973, P<.05, the Beta of transactional leadership style was -..081 (T=2.237, P<.05), the Beta of laissez-faire leadership style was -.097 (4.208, P<.05). Therefore, transformation (Appendix D cont.) leadership style significantly and positively predicted job satisfaction of pay; transactional/laissez-faire leadership styles significantly and inversely predicted job satisfaction of pay. Overall perceived leadership style appeared as the significant predictor and explained 23% of the variances in job satisfaction of pay. In addition, transformation leadership style was the strongest single predictor among three perceived leadership styles for job satisfaction of pay and accounted for 21.5% of the variance. Appendix E The linear trend equation is Y’ = a + b (t). Note: Y’ = read Y prime, is projected value of the Y variable for the selected value of t. a = is the Y-intercept. It is estimated value of Y when t = 0. Another way to put it is: a is the estimated value of Y where the line crosses the Y-axis when t is zero. b = is the slope of the line, or the average change in Y’ for each increase of one unit in t. t = is any value of time that is selected. Appendix F The log trend equation: log Y’ = Log a + log b (t). {draw:frame} (Appendix F cont.) {draw:frame} According to Lind et al., 2004, The regression equation is Y’ = 2.053807 + 0.153357t_, _which is the log form. We now have a trend equation in terms of percent change. That is, the value 0.153357 is the percent change in Y_ for each unit increase in t. This value is similar to the geometric mean described in Chapter 3. The log of b is 0.153357 and its antilog or inverse is 1.423498. If we subtract 1 from this value, as we did in Chapter 3, the value 0.423498 indicates the geometric mean annual rate of increase from 1988 to 2002. We conclude that imports increased at a rate of 42.35 percent annually during the period.(p. 666)
References: Apics (2005). Apics Dictionary, (11th ed). Alexandria, VA: Apics. Cooper, D., & Schindler, P. (2003). Business Research Methods (8th ed.). New York: The McGraw-Hill Companies. Dube, Arindrajit., & Jacobs, Ken. (2004). Hidden Cost of Wal-Mart Jobs. Retrieved online October 18, 2008, from site: http://www.dsausa.org/lowwage/walmart/2004/walmart%20study. html database. Health Care. Retrieved October 18, 2008, from http://walmartwatch.com/pages/healthcare#background Hexhunterkid , (2006). Progressiveu.org. Wal-Mart: Rolling Back America. part 1: low wages, high turnover. Retrieved, October 18, 2008, from http://www.progressiveu.org/171941-wal-mart-rolling-back-america-part-1-low-wages-high-turnover Jain, C. (2004). The Journal of Business Forecasting Methods and Systems. Retrieved October 18, 2008 from ProQuest. Kofinis, Chris (2007). New internal documents show Wal-mart forced to change attendance policy. Retrieved October 20, 2008, 2007, from http://wakeupwalmart.com/press/20061117a.html Lin, Y. (2003). The effects of employees’ perceptions of leader’s leadership style on the job satisfaction of employees at small and medium enterprises in Taiwan. Retrieved October 18, 2008 from ProQuest. Lind, D., Marchal, W., and Wathen S. (2004). Statistical Techniques in Business & Economics (12th ed.). New York: The McGraw-Hill Companies. MarketLine Business Information Center. Wal-Mart Retrieved September 28, 2008 from EBCOShost database. Wal-Mart Watch. (2005). Low Prices at High Cost: Who Really Pays For Wal-Mart Workers ' Health Care. Retrieved October 18, 2008, from http://walmartwatch.com/pages/healthcare#background Wal-mart State by State Information, Retrieved October 17, 2008 from: http://walmartstores.com/FactsNews/StateByState/State.aspx?id=4 Appendix A Strongly Neither Disagree Strongly Disagree Disagree Nor Agree Agree Agree 1 2 3 4 5 I feel I am being paid a fair amount for the work I do. 1 2 3 4 5 Raises are too few. 1 2 3 4 5 I feel satisfied with my chances for salary increases. 1 2 3 4 5 My supervisor is unfair to me. 1 2 3 4 5 I like my supervisor. 1 2 3 4 5 I am not satisfied with the benefits I receive. 1 2 3 4 5 The benefit package we have is satisfactory. 1 2 3 4 5 I would be very happy to spend the rest of my career 1 2 3 4 5 with Wal-Mart. Gender: Male Female Age: 15-19 20-29 30-39 40-49 50 and over Education: High School College How long have you worked with your present supervisor? years and months Prior experience in retail stores? No Yes If yes, how long? _years and months Appendix B {draw:frame} Note: n = is the size of the sample Z = is the standard normal value corresponding to the desired level of confidence S = in an estimate of the population deviation E = maximum allowable margin of error Appendix C {draw:frame} Note: Z = is the standard normal value corresponding to the desired level of confidence X = is the mean of the sample. {draw:line} u =is the hypothesized population mean. {draw:line} s = is the standard deviation of the sample. {draw:line} n = is the number of observations in the sample. Appendix D A stepwise multiple regression analysis of job satisfaction of pay *p<.05 The table above describes a statistically significant in overall perceived leadership styles predicting the job satisfaction of pay (R²=.23, F=162.317, P<.05). The standardized regression coefficient (Beta) of transformational leadership style was .513 (T=13.973, P<.05, the Beta of transactional leadership style was -..081 (T=2.237, P<.05), the Beta of laissez-faire leadership style was -.097 (4.208, P<.05). Therefore, transformation (Appendix D cont.) leadership style significantly and positively predicted job satisfaction of pay; transactional/laissez-faire leadership styles significantly and inversely predicted job satisfaction of pay. Overall perceived leadership style appeared as the significant predictor and explained 23% of the variances in job satisfaction of pay. In addition, transformation leadership style was the strongest single predictor among three perceived leadership styles for job satisfaction of pay and accounted for 21.5% of the variance. Appendix E The linear trend equation is Y’ = a + b (t). Note: Y’ = read Y prime, is projected value of the Y variable for the selected value of t. a = is the Y-intercept. It is estimated value of Y when t = 0. Another way to put it is: a is the estimated value of Y where the line crosses the Y-axis when t is zero. b = is the slope of the line, or the average change in Y’ for each increase of one unit in t. t = is any value of time that is selected. Appendix F The log trend equation: log Y’ = Log a + log b (t). {draw:frame} (Appendix F cont.) {draw:frame} According to Lind et al., 2004, The regression equation is Y’ = 2.053807 + 0.153357t_, _which is the log form. We now have a trend equation in terms of percent change. That is, the value 0.153357 is the percent change in Y_ for each unit increase in t. This value is similar to the geometric mean described in Chapter 3. The log of b is 0.153357 and its antilog or inverse is 1.423498. If we subtract 1 from this value, as we did in Chapter 3, the value 0.423498 indicates the geometric mean annual rate of increase from 1988 to 2002. We conclude that imports increased at a rate of 42.35 percent annually during the period.(p. 666)