Situational Business Ethics Essay Example | Topics and Well Written Essays - 2750 words

Situational Business Ethics - Essay Example From this discussion it is clear that the hospitality industry, such as hotels and restaurants, has to a certain extent a form of unwritten code of ethics, which inexplicably nestle in the heads of employers or managers. Hence, a code of conduct expressing a restaurant’s ethics is as significant as a successful marketing plan. When a restaurant chain enlarges its operation globally, local talent should be employed and trained in relation to: honesty, responsibility, harmony, understanding, and quality. Moreover, equality of all employees in relation to human rights should be addressed justly, promptly and rightfully to the contentment of all involved. This study outlines that the subsequent reaction of the customer and the management to Hatton’s actions contributed to the ethical dilemmas that the company has to resolve through the peer-review process. In this case study ethical issues and possible problem or conflict resolutions will be discussed. Of course, there is a necessity to communicate ethical practices and an effective management is not possible if ethical conducts are not forcefully carried out. Serving others is a dignified line of work and can be exercised in a polite and honest fashion with sensible ethical imperatives to gain the advantages of growth, prosperity, and success. The primary stakeholders in the study are Ruth Hatton, the customer, and Diane Canant, the supervisor. Ruth Hatton’s responsibility is to be well-informed with their Code of Business Ethics and Conduct and conform to all policies and procedures of the company. Claims of lack of knowledge, poor judgment, or good intentions will no t be tolerated as reasons for failure to comply.

Analysis Essay Example | Topics and Well Written Essays - 500 words - 12

Analysis - Essay Example The paper discussed a vital and challenging aspect of healthcare, by taking into account a way some of the issues related to this topic can be addressed. Moreover, it was a proof of how an initiative can change perspective on a micro level, and why not to the overall medical system. Such initiatives are welcomed, and it must be remembered that the success of the project is a factor of the implication of people involved. Nowadays, an important issue when considering cost accounting are the physical distribution activities and other marketing functions. A solution to this issue is the activity-based costing (ABC) for marketing. The main outcome of this technique is to help marketing managers in their decision making process related to profitability, pricing, and distribution areas. The most important marketing activities considered are selling, warehousing, packing and shipping, and administrative. This article provided a clear distinction on importance of marketing costs, and the ways these are assessed. Because recent years were characterized by advancement in marketing, and also on the costs related to this, I think it is necessary to consider the ABC technique in order for a manager to take the best decisions for the company he is running. In order to assess the quality of distribution channels, an ABC analysis can be used. The advantage of this technique over standard approach to channel profitability is the fact that it is estimating cost more accurately, which is very important for a company to decide where it is selling its products. However, ABC has also a main disadvantage which is related to its assumption that all costs are product-driven so it should be allocated to products. Another approach is the strategic cost management approach, which extends the assumption of ABC to consider also that costs are driven by the customers and by the distribution

Education and Economics Essay Example for Free

Education and Economics Essay I. Introduction: The conventional theory of human capital developed by Becker (1962) and Mincer (1974) views education and training as the major sources of human capital accumulation that, in turn, have direct and positive effect on individuals’ life time earnings. In the Mincerian earning function, the coefficient of school years indicates the returns to education, i. e. , how much addition in earnings takes place with an additional school year. There exists a wide range of literature that estimated the rates of returns to education for different countries [Pascharapoulos (1980; 1985; and 1994); Pascharapoulos and Chu Ng (1992)]1. In Pakistan, most of the nationally representative household surveys do not contain information on variables, such as, completed years of schooling, age starting school, literacy and numeracy skills, quality of schooling, and technical training. Due to the unavailability of completed school years, one can neither compute the potential experience nor observe the effect of an additional year of schooling on individual earnings. Therefore, the available literature in Pakistan is lacking in estimating the returns to education by using the Mincerian earning function2. In recent years, the government of Pakistan has started nation-wide survey, Pakistan Integrated Household Survey (PIHS), to address the imbalances in the social sector. This survey ? The authors are Senior Research Economist and Research Economist at the Pakistan Institute of Development Economics (PIDE) Islamabad. 1 Pascharapoulos (1994) provide a comprehensive update of the estimated rates of returns to education at a global scale. He observed high social and private profitability of primary education (18%and 9% respectively) in all regions of world. The private rate of returns at this level were found highest in Asia (39%) as compared to other regions. He also noted a considerable increase in total earnings by an additional year of education in all regions of world; 13% in Sub-Saharan Africa; 10% in Asia; 12% in Europe/Middle East/North Africa; and 12% in Latin America/Caribbean. 2 At national level, only two studies are available in Pakistan that used the Mincerian earning function approach to examine the returns to education [see Shabbir and Khan (1991) and Shabbir (1994)]. However, both these studies are based on twenty years old data set. 2 provides rich information on the above mentioned variables that were missing in the earlier household surveys. This study uses the data of PIHS to examine the returns to education by using Mincerian earning function and thus aims to fill the vacuum that, due to the lack of appropriate data, exists in the literature on returns to education in Pakistan. In this paper we will first estimate the earning function with continuous school years with the assumption of uniform rate of returns for all school years. It is argued that different school years impart different skills therefore we extend our analysis to examine the addition in earning associated with extra years of schooling at different levels of education, i. e. , how much increase in earnings takes place with an extra year of schooling at different levels, such as, primary, middle, matric, intermediate, bachelors and masters. By doing so we overcome the problem that exists in the available literature in Pakistan. To our knowledge no study has yet adopted this method to examine the returns to education in Pakistan3. The impact of technical training and school quality on the earnings of fixed salaried and wage earners will be examined in this study. Based on the available data in Pakistan, most of the studies, for example, Haque (1977), Hamdani (1977), Guisinger et al (1984), Khan and Irfan (1985), Ahmad, et al (1991); and Ashraf and Ashraf (1993a, 1993b, and 1996) estimated the earning functions by defining the dummy variables for different levels of education4. These studies observe low rates of returns at different levels of education as compared to other developing countries. However, a positive association between levels of education and earnings and an inverse relationship between the degree of income inequality and educational attainment has been noted. In order to examine the inter- 3 Most of the studies on returns to education in Pakistan used dummy variables for different levels of education where the rates of returns at different levels of education are computed by the estimated coefficients. 4 In Pakistan, the data on education in most of the nationally representative household surveys have been reported in discrete form that denotes the completion of different levels of education, such as, ‘primary but incomplete middle’, ‘middle and incomplete matric’, and so on. 3 provincial differentials in returns to education, Shabbir and Khan (1991) estimated the Mincerian earning function by using a nationally representative sample, drawn from the of Population, Labour Force and Migration Survey (1979) for the literate wage earners and salaried males. Later Shabbir (1994) estimated the earning function on the extended sample of the same data set. These studies found 7 to 8 percent increase in earnings with an additional year of schooling. Although the results are consistent with those of comparable LDCs but may not reflect the recent developments in Pakistan’s economy as these studies are based on the data set which are 20 years old now. Since 1979, the economy of Pakistan has passed through various changes, especially after the inception of the Structural Adjustment Programme in late 1980s. For example, the literacy rate has increased from 26 percent to 45 percent and enrolment at primary level has increased by 67 percent. Public and household expenditures on education have also increased [Economic Survey (1998-99)]. Moreover, due to the fiscal constraints, the employment opportunities in the public sector have started shrinking and the economy is moving towards more openness with stronger role of private sector in recent years. In this scenario, it becomes imperative to re-test the role of human capital as both private and public sectors are moving towards more efficiency and productivity. This study is important from three standpoints. First, in order to estimate the effect of education on earnings, the most recent and nationally representative household survey data is used which provides detailed information on the variables that were missing in previous surveys. Second, it uses the splines of education in the earning function to examine the additional earnings associated with extra school years at different levels. Third, this study investigates the role of some important factors such as, technical training, school quality, and literacy and numeracy skills on earnings for the first time. 4 The rest of the paper is organised as follows: section 2 presents an overview of the education sector. Section 3 outlines the model for empirical estimation and describes data. Section 4 reports the results. Conclusions and policy Implications are presented in the last Section. II. The Education Sector in Pakistan: An Overview: Education plays an important role in human capital formation. It raises the productivity and efficiency of individuals and thus produces skilled manpower that is capable of leading the economy towards the path of sustainable economic development. Like many other developing countries, the situation of the education sector in Pakistan is not very encouraging. The low enrolment rates at the primary level, wide disparities between regions and gender, lack of trained teachers, deficiency of proper teaching materials and poor physical infrastructure of schools indicate the poor performance of this sector. The overall literacy rate for 1997-98 was estimated at 40 percent; 51 percent for males and 28 percent for females; 60 percent in urban areas and 30 percent in rural areas. These rates are still among the lowest in the world. Due to various measures in recent years, the enrolment rates have increased considerably. However, the high drop-out rate could not be controlled at primary level. Moreover, under-utilisation of the existing educational infrastructure can be seen through low student-institution ratio, (almost 18 students per class per institution) low teacher-institution ratio (2 teachers per institution) and high studentteacher ratio (46 students per teacher). The extremely low levels of public investment are the major cause of the poor performance of Pakistan’s education sector. Public expenditure on education remained less than 2 percent of GNP before 1984-85. In recent years it has increased to 2. 2 percent. In addition, the allocation of government funds is skewed towards higher education so that the benefits of public subsidy on education are largely reaped by the upper income class. Many of the highly educated 5 go abroad either for higher education or in search of better job opportunities. Most of them do not return and cause a large public loss. After mid-1980s, each government announced special programs for the improvement of the education sector. However, due to the political instability, none of these programs could achieve their targets. The Social Action Program was launched in early 1990s to address the imbalances in the social sector. This program aims to enhance education; to improve school environment by providing trained teachers, teaching aids and quality text books; and to reduce gender and regional disparities. The Phase-I of SAP (1993-96) has been completed and Phase-II is in progress. The gains from the Phase-I are still debatable because the rise in enrolment ratio has not been confirmed by the independent sources. Irrespective of this outcome, government has started work on Phase-II of SAP. In this Phase, government is paying special attention to promote technical and vocational education, expanding higher education in public as well as in the private sector, enhancing computer literacy, promoting scientific education, and improving curriculum for schools and teachers training institutions in addition to promoting primary and secondary education. Due to low levels of educational attainment and lack of technical and vocational education, Pakistan’s labour market is dominated by less educated and unskilled manpower. A considerable rise in the number of educational institutions and enrolment after 1980s is not yet reflected in Pakistan’s labour market. This might be due to the fact that most of the bachelor’s and master’s degree programmes emphasise only on academic education without developing specific skills. The sluggish demand for the graduates of these programs in the job markets leads to unemployment among the educated and the job market remains dominated by the less educated. In this scenario, it becomes important to explore the role of education for the economic benefit of individuals. 6 III. Theoretical Model and Estimation Methodology: We start with the human capital model developed by Becker (1964) and Mincer (1974) where natural logarithm of monthly earnings are the linear function of completed school years, experience and its square. In mathematical form the equation can be written as: ln Wi = ? 0 + ? 1 EDU i + ? 2 EXPi + ? 3 ( EXPi ) 2 + Ui (1) where ln Wi stands for natural logarithm of monthly earnings, EDUi represents completed years of schooling, and EXPi is the labor market experience of ith individual. ?1 implies the marginal rate of return to schooling. A positive value of ? 2 and negative value of ? 3 reflects the concavity of the earning function with respect to experience. Ui is the error term, assumed to be normally and identically distributed. It has been argued in the literature that different school years impart different skills and hence affect earnings differently. Therefore, it is misleading to assume a uniform rate of return for all educational levels. Most of the previous studies used dummy variables to capture the effect of different levels of education. In order to examine the effect of school years at different levels of education, van der Gaag and Vijverberg (1989) divided the years of schooling according to the school systems of Cote d’ Ivore. Similarly Khandker (1990) also used years of primary, secondary and post-secondary schooling in wage function for Peru. Both studies found significant differences in returns to education at different levels of education. Following van der Gaag and Vijverberg (1989), we divide the school years into seven categories according to the education system of Pakistan. In Pakistan, the primary education consists of 5 years of schooling; middle requires 3 more years; and by completing 2 more years of schooling after middle, an individual obtains a secondary school certificate i. e. , Matric. After matric , i. e. , 10 years of schooling, students have a choice between technical and formal education. Technical education 7 can be obtained from technical institutions which award diploma after 3 years of education while the certificate of intermediate can be obtained after two years of formal education. After the completion of intermediate certificate, students can enter either in the professional colleges for four years or in non-professional bachelors degree program for two years in a college. Those who choose non-professional degree can pursue their studies in a university for masters for two more years. At this stage the graduates of professional and non-professional colleges complete 16 years of education. They can now proceed to the M. Phil. or Ph. D. degrees. In order to examine the returns to education at different splines of education, we estimate the following extended earning function. ln Wi = ? 0 + ? 1Yrs Pr imi + ? 2 YrsMid i + ? 3YrsMati + ? 4 YrsInteri + ? 5 YrsBAi + (2) ? 6 Yrs Pr of i + ? 7 EXPi + ? 8 ( EXPi ) 2 + Ui where YrsPrim, YrsMid, YrsMat YrsInter YrsBA YrsProf are defined as: YrsPrim = D5EDUi YrsMid = D8EDUi YrsMat = D10EDUi YrsInter = D12EDUi YrsBA = D14EDUi YrsProf = D16EDUi where D5 = 1 if where D8 = 1 if where D10 = 1 if where D12 = 1 if where D14 = 1 if where D16 = 1 if 0 EDU ? 5 5 EDU ? 8 8 EDU ? 10 10 EDU ? 12 12 EDU ? 14 EDU 14 The coefficients associated with YrsPrim, YrsMid, YrsMat YrsInter YrsBA YrsProf in equation 2 imply an increase in income with one year increase in education at respective levels. For example, the returns to five completed years of education at primary level will be 5*? 1. Similarly, the returns to for six, seven and eight of education will be 5*? 1+? 2, 5*? 1+2? 2, and 5*? 1+3? 2 respectively. On the same lines we can compute the returns to education at each level as: 8 Returns to Primary =5*? 1 Returns to Middle =5*? 1+3*? 2 Returns to Matric= 5*? 1+3*? 2+2*? 3 Returns to Intermediate=5*? 1+3*? 2+2*? 3 +2*? 4 Returns to Bachelor’s =5*? 1+3*? 2+2*? 3 +2*? 4 +2*? 5 Returns to MA/Prof=5*? 1+3*? 2+2*? 3 +2*? 4 +2*? 5 +2*? 6 The data are drawn from the nationally representative Pakistan Integrated Household Survey 1995-96. In order to assess the performance of the Social Action Programme (SAP), the government of Pakistan has launched the series of Pakistan Integrated Household Surveys (PIHS), a collaborative nation wide data collection effort undertaken by the Federal Bureau of Statistics (FBS). So far two rounds have been completed. The first round of the PIHS is different from other round on two counts. Firstly, the information on employment and wages is available only in this round. Secondly, only 33 percent of the sample used in the first round is being repeated in the subsequent rounds. This implies that all of these rounds are independent cross-section data sets and can not be properly linked with each other to be used as panel data. Therefore, the appropriate sample can only be drawn from the first round of PIHS. This round was conducted in 1995-96, which covers 12,622 households and more than 84,000 individuals. The 1995-96 PIHS provides a detailed information on completed school years5. In addition, this survey contains information on age started school. This information is particularly important for our study to calculate the potential experience of a worker. The indicator for experience used by Mincer (1974) is a good proxy for U. S. workers as they start school at the uniform age of six years6. However, this assumption does not hold in Pakistan, as in this country there is no uniform age to start school. In urban areas, children as young as three years start going to school whereas in rural 5 This is the only nation-wide data set that provides this particular information. Similarly no other survey contains information on public and private school attendence and year starting school. 6 Mincer defined experience as (Age-education-6). 9 areas the school starting age is higher. 7 This information enables us to construct potential experience as (age-schools years-age starting school). Although experience is still a proxy for actual experience but it is relatively better measure than age and the Mincer type potential experience. In addition to education and experience, various other factors, such as quality of schooling, technical training and quality of schooling have significant impact on earning8. It has been argued that because of the market-oriented approach adopted by the private schools, the graduates of these schools earn more as compared to the graduates of public schools9. According to Sabot (1992), Behrman, Ross, Sabot and Tropp (1994), Alderman, Behrman, Ross and Sabot (1996a), Alderman, Behrman, Ross and Sabot (1996b), and Behrman, Khan, Ross and Sabot (1997), the quality of education has positive, significant and substantial impact on cognitive achievements and hence on post school productivity, measured by earnings. These studies observed higher earnings of the graduates of high quality school than those who attended a low quality school. A recent study by Nasir (1999) found considerably higher earnings for the private school graduates. These schools, however, charge higher fees. â€Å"Estimates of average annual expenditure per pupil in both government and private schools indicates that the total cost of primary level in rural areas is Rs. 437 (Rs 355 for government schools and Rs. 1252 for private schools), compared with Rs. 2038 in urban areas (Rs. 1315 for government and Rs. 3478 for private schools). This means that the cost of primary schooling is almost three times that of public schools in urban 7 The issue of age starting school has been highlighted by Ashraf and Ashraf (1993) and because of the nonavailability of this information, they used age as proxy for experience. 8 See Summers and Wolf (1977); Rizzuto and Wachtel (1980); Behrman and Birdsall (1983); Booissiere, Knight and Sabot (1985); Knight and Sabot (1990);Behrman, Ross, Sabot, and Tropp (1994); Behrman, Khan, Ross and Sabot (1997). 9 Various studies found the effectiveness of private schools to acquire cognitive skills [Colemen, Hoffer and Kilgore (1982); and Jimenez, Lockheed, Luna and Paqueo (1989)]. For Pakistan, Sabot (1992), Behrman, Ross, Sabot and Tropp (1994), Alderman, Behrman, Ross and Sabot (1996a), Alderman, Behrman, Ross and Sabot (1996b), and Behrman, Khan, Ross and Sabot (1997) found a significant variation in the cognitive skills among children with same number of school years. These studies conclude that some of the differences are due to the family characteristics while some are due to the quality of schooling. 10. areas and nearly four times in rural areas. The differences in cost of schooling also reflect the degree of quality differentials in public and private schools, and between urban and rural schools. A relatively better provision of school facilities and quality of education in private schools is causing a continuous rise in school enrolment in urban areas† [Mehmood (1999) page 20]. The PIHS provides information on the type of school attended10. On the basis of this information we can identify workers according to the school they attended and therefore examine the effect of type of school on individual earnings. In order to capture the quality of education an individual received, a dummy variable is included in the model that takes the value ‘1’ if individual is a graduate of private schools and ‘0’ otherwise. The effect of post-school training on earning has been found positive and substantial in many developing countries [see Jimenez and Kugler (1987); van der Gaag and Vijverberg (1989); Khandker (1990); and Nasir (1999)]. The PIHS contains information on years of technical training. This information helps us to examine the effect of technical training received on individual earnings. We use completed years of technical training as independent variable in the earning function. The existence of vast gender gap in human capital accumulation is evidenced by various studies in Pakistan11. The PIHS reports vast gender disparities in literacy and enrolment rates. The literacy rate among females is half than that of males’ literacy rate for whole Pakistan. This difference has increased to three-folds for rural areas. The gender difference is however smaller for the gross enrolment rate at primary level. For the higher levels of education, this difference 10. The coefficient of private school may also capture the effect of socio-economic background of workers. The data, however, does not contain such information, therefore we are unable to separate the effect of parental characteristics from the effect of private schools in worker’s earnings. 11 Sabot (1992); and Alderman, Behrman, Ross and Sabot (1996b); Sawada (1997); Shabbir (1993); and Ashraf and Ashraf (1993a, 1993b, and 1996) 11 shows an increasing trend. Similarly vast gender gap has been observed in returns to education where males earn more than the female workers [Ashraf and Ashraf (1993a, 1993b and 1996) and Nasir (1999)]. In order to capture the effect of gender, a dummy variable is introduced in the model that takes the value ‘1’ for males and ‘0’ otherwise. The regional imbalances in the provision of limited available social services are more pronounced in Pakistan. Rural areas are not only underdeveloped in terms of physical infrastructure but also neglected in gaining basic amenities. Haq (1997) calculated the disaggregated human development index for Pakistan and its provinces. He noted that nearly 56 percent of population is deprived of basic amenities of life in Pakistan; 58 percent in rural areas and 48 percent in urban areas. According to the 1995-96 PIHS, the literacy rate in urban areas is 57 percent and in rural areas it is 31 percent. The gross enrolment rate was noted 92 percent in urban areas and 68 percent in rural areas. Because of these differences low returns to education are observed in rural areas [Shabbir (1993 and 1994) and Nasir (1999)]. To capture the effect of regional differences, a dummy variable is used that takes the value ‘1’ if individual lives in urban areas and zero otherwise. The four provinces of Pakistan exhibit different characteristics in terms of economic as well as social and cultural values. Significant provincial differentials in rates of returns to education have been noted that reflect not only the differences in market opportunities but also indicate uneven expansion of social services across provinces [Khan and Irfan (1985); Shabbir and Khan (1991); Shabbir (1993); Shabbir (1994); and Haq (1997)]. The effects of these differences are captured through the use of dummy variables for each province in the earning function, Sindh being the excluded category. 12 For the purpose of analysis we restrict our sample to wage earners and salaried persons. Our sample contains 4828 individuals. Among them, 4375 are males and 453 are females. Table 1 presents the descriptive statistics of some of the salient features of the important variables. According to the statistics in table 1, average age of the individuals included in the sample is 34 years with 18 years of experience. A typical worker in the sample has completed approximately 10 years of education. A majority is graduated from public schools. Most of the workers live in urban areas. On average an individual earns Rs. 3163 per month. In our sample, there are only 22 percent individuals who received technical training. The average years spent for training are less than one year. A majority of wage earners belong to Punjab, followed by Sindh and Balochistan. Table1 Mean, Standard Deviation and Brief Definitions of Important Variables Variables W Age EDU EXP RWA MALE Urban Private Training Punjab Sindh NWFP Balochistan Mean SD Variables Definitions 3163. 34 3397. 39 Individuals monthly earnings in rupees consist of wages and salaries. 34. 07 12. 36 Age of an individual in years. 9. 53 4. 36 Completed years of schooling. 18. 14 11. 80 Total Years of labour market experience calculated as (age-school years-age starting school). 2. 37 1. 07 Categorical variables, contains 4 categories of literacy and numeracy. 0. 91 0. 29 Dichotomous variable equal to 1 if individual is male. 0. 60 0. 49 Dichotomous variable equal to 1 if individual belongs to urban area 0. 04 0. 19 Dichotomous variable equal to 1 if individual is a graduate of private school 0. 35 0. 87 Completed years of technical training 0. 38 0. 49 Dichotomous variable equal to 1 if individual belongs to Punjab 0. 31 0. 46 Dichotomous variable equal to 1 if individual belongs to Sindh 0. 15 0. 36 Dichotomous variable equal to 1 if individual belongs to NWFP 0. 16 0. 36 Dichotomous variable equal to 1 if individual belongs to Balochistan 13 IV. Empirical Results The estimated results of equation 1 and equation 2 are reported in table 2. The highly significant coefficients of school years and experience indicate the applicability of human capital model for Pakistan. An additional year of schooling raises individual’s monthly income by 7. 3 percent, which is very close to the prior studies. 12 13 The coefficient of experience shows substantial increase in wages with each additional year. The concavity of age-earnings profile is evident from the negative and significant coefficient of experience squared. The results reveal that an individual with five years of experience earns 31 percent higher wages as compared to non-experience worker. The highest level of earnings is achieved with approximately 30 years of experience. These estimates are relatively low compared to prior studies14. The positive and significant coefficients of gender (0. 401) and regional dummies (0. 178) strengthens the a priori expectation that males earn more than females and earnings are higher in urban areas as compared to rural areas. These estimates are consistent with earlier studies [see Arshaf and Ashraf (1993), Khan and Irfan (1985)]. Furthermore, significant inter-provincial differences in individual’s earnings can be observed in the estimated model. Many studies indicate substantial differences in earnings across school levels. For example, van der Gaag and Vijverberg (1989) noted that an increase of one year in elementary, high and university education causes an increase of 12 percent, 20 percent and 22 percent respectively in 12 The estimated coefficients of school years by Shabbir and Khan (1991), Shabbir (1991), Shabbir (1993) and Shabbir (1994) are found to be in the range of 6 percent to 9. 7 percent. 13 The returns to education are calculated by taking the anti-log of 0. 092 (estimated coefficient of completed school years) and subtracting from 1. To convert into percentage, multiply the value by 100. For details, please see Gujrati (1988) page 149. 14 The difference in the returns to experience could be due to the approach adopted by these studies. Most of the studies used age as a proxy for experience [see for example Khan and Irfan (1985); Ashraf and Ashraf (1993); and Nasir (1999)]. Shabbir (1991) used the Mincerian approach to calculate experience. The present study uses actual age of starting school and actual years of education. These information enable us to calculate total years of labor market experience. This approach is also not the perfect alternative for actual experience, as we do not have information about the starting time of the first job. But when compared with other approaches, it is more precise in measuring experience. 14 earnings. In order to examine the returns to education across different school years, we include the information on schooling according to the education system of Pakistan (equation 2). The results reported in column 3 of table 2 show a positive and significant impact of school years at each educational level on earnings. For example, an increase of one year in education at primary level increases the earnings by 3 percent. Similarly, at middle level, one year of schooling brings about an increase of 4 percent in earnings and the total returns to schooling at middle level are 27 percent. Table 2 Earning Function with and without Levels of Education Variables Coefficient s 6. 122 0. 072* 0. 058* -0. 001* 0. 178* 0. 401* 0. 127* -0. 113* -0. 203* 0. 412 t-ratios Coefficient s 6. 380 0. 058* -0. 001* 0. 150* 0. 264* 0. 098* -0. 112* -0. 166* 0. 027** 0. 040* 0. 050* 0. 057* 0. 071* 0. 082* 0. 429 t-ratios Coefficient s 6. 342 0. 058* -0. 001* 0. 152* 0. 262* 0. 096* -0. 108* -0. 164* 0. 052* 0. 007 0. 025* 0. 038* 0. 047* 0. 063* 0. 075* 0. 429 t-ratios Constant EDU EXP EXP2 Urban Male Balochistan NWFP Punjab RWA Yrs-Prim Yrs-Mid Yrs-Mat Yrs-Inter Yrs-BA Yrs-Prof Adj R2 148. 91 46. 71 26. 49 -19. 20 10. 31 13. 98 4. 94 -4. 34 -10. 21 92. 03 23. 85 -16. 84 7. 87 8. 15 3. 40 -4. 06 -7. 75 2. 03 5. 07 8. 69 11. 41 16. 85 21. 98 89. 25 23. 84 -16. 88 7. 98 8. 09 3. 32 -3. 91 -7. 63 2. 41 0. 45 2. 45 5. 02 7. 28 11. 47 15. 57 * significant at 99 percent level. ** significant at 95 percent level. One can note higher returns of additional year of schooling for higher educational levels from this table. For example, the returns to masters and professional education (Yrs-Prof) are more than five- 15 times higher than that of primary school years (Yrs-Prim). The results exhibit a difference of 15 percent between primary graduates and illiterates, the excluded category. This category includes illiterates as well as all those who have not obtained any formal schooling but have literacy and numeracy skills15. To further explore the earning differential between primary school graduates and those who never attended school but have literacy and numeracy skills, we have constructed an index RWA that separates illiterates from those who have literacy and numeracy skills. This index takes the value ‘zero’ if individual does not have any skill; ‘1’ if individual has only one skill; ‘2’ if individual has two skills; and ‘3’ if individual has all three skills. We re-estimated equation 2 with this new variable and the results are reported in column 5 of table 2. According to our expectations, the coefficient of RWA is found not only large (0. 05) in magnitude but also statistically significant at 99 percent level. This indicates that the individuals with all three skills earn 15 percent more than those who have no skill. On the other hand, the coefficient of Yrs-Prim dropped to 0. 007 and became insignificant16. The differential in the earnings of illiterates and those having five years of primary education was 15 percent (0. 03*5=0. 15). This differential however, reduced to approximately 9 percent (0. 007*5+0. 053=8. 8) when we include those who have no formal education but have literacy and numeracy skills. These high returns to cognitive skills indicates the willingness of employer to pay higher wages to the able workers as compared to those who have five or less years of schooling but do not have these skills. Now we examine the effect of technical training and quality of schooling on earnings, first in separate equations and then in a single equation. The impact of technical training on earnings is examined by including years of apprenticeship as continuous variable in our model. The results are reported in column 1 of table 3. The results show a positive and significant impact of technical 15 There are 48 wage earners in our sample who have education less than primary but do not have any of these skill. Whereas we found 76 wage earners who do not have any formal education but have at least one of these skills. 16 This result is consistent with van der Gaag and Vijierberg (1989). 16 Table 3 Earning Functions : Impact of Technical Training and School Quality (Separate Functions) Variables Constant EDU EXP EXP2 Urban Male Balochistan NWFP Punjab Train.

Coffee Shop Business Plan

Coffee Shop Business Plan Java Culture coffee bar is determined to become a daily necessity for local coffee addicts, a place to dream of as you try to escape the daily stresses of life and  just a  comfortable place to meet your friends or to read a book, all in one. With the growing demand for high-quality gourmet coffee and great service, Java Culture will capitalize on its proximity to the University of Oregon campus to build a core group of repeat customers. The company will operate a 2,300 square foot coffee bar within a walking distance from the University of Oregon campus. The owners have secured this location through a three-year lease with an option for extending. The have also provided $140,000 of the required $170,000 start-up funds. The remaining capital will be obtained through  Bank of America commercial loans. The company is expected to grow sales revenue from $584,000 in FY2001 to $706,000 in year three. As Java Culture will strive to maintain a 65% gross profit margin and reasonable operating expenses,  it will see  net profits grow from $100,000 to$125,000 during the same period. 1.1 Objectives: Java Cultures objectives for the first year of  operations are: Become selected as the Best New Coffee Bar in the area by the local restaurant guide. Turn in profits from the first month of operations. Maintain a 65% gross margin. 1.2 Keys to Success: The keys to success will be: Store design that will be both visually attractive to customers, and designed for fast and efficient operations. Employee training to insure the best coffee preparation techniques. Marketing strategies aimed to build a solid base of loyal customers, as well as maximizing the sales of high margin products, such as espresso drinks. 1.3 Mission Java Culture will make its best effort to create a unique place where customers can socialize with each other in a comfortable and relaxing environment while enjoying the best brewed coffee  or espresso and pastries in town. We will be in the business of helping our customers to relieve their daily stresses by providing piece of mind through great ambience, convenient location, friendly customer service, and products of consistently high quality. Java Culture will invest its profits to increase the employee satisfaction while providing stable return to its shareholders. 2.0 Company Summary: Java Culture, an Oregon limited liability company, sells coffee, other beverages and snacks in its 2,300 square feet premium coffee bar located near the University of Oregon campus.   Java Cultures major investors are Arthur Garfield and James Polk who cumulatively own over 70% of the company. The start-up loss of the company is assumed in the amount of $27,680. 2.1 Company Ownership: Java Culture is registered as a Limited Liability Corporation in the state of Oregon. Arthur Garfield owns 51% of the company. His cousin, James Polk, as well as Megan Flannigan and Todd Barkley hold minority stakes in Java Culture, LLC. 2.2 Company Locations and Facilities: Java Culture coffee bar will be located on the ground floor of the commercial building at the corner of West 13th Avenue and Patterson Street in Eugene, OR. The company has secured a one-year lease of the vacant 2,500 square feet premises previously occupied by a hair salon. The lease contract has an option of renewal for three years at a fixed rate that Java Culture will execute depending on the financial strength of its business. The floor plan will include a 200 square feet back office and a 2,300 square feet coffee bar, which will include a seating area with 15 tables, a kitchen, storage area and two bathrooms. The space in the coffee bar will be approximately distributed the following way1,260 square feet (i.e., 55% of the total) for the seating area, 600 square feet (26%) for the production area, and the remaining 440 square feet (19%) for the customer service area. This property is located in a commercial area within a walking distance from the University of Oregon campus on the corner of a major thoroughfare connecting affluent South Eugene neighborhood with the busy downtown commercial area. The commercially zoned premises have the necessary water and electricity hookups and will require only minor remodeling to accommodate the espresso bar,  kitchen and storage area. The coffee bars open and clean interior design with modern wooden decor will convey the quality of the served beverages and snacks, and will be in-line with the establishments positioning as an eclectic place where people can relax and enjoy their cup of coffee. The clear window displays, through which passerby will be able to see customers enjoying their beverages, and outside electric signs will be aimed to grab the attention of the customer traffic. 3.0 Products: Java Culture will offer its customers the best tasting coffee beverages in the area. This will be achieved by using high-quality ingredients and strictly following preparation guidelines. The store layout, menu listings and marketing activities will be focused on maximizing the sales of higher margin espresso drinks. Along with the espresso drinks, brewed coffee and teas, as well as some refreshment beverages, will be sold in the coffee bar. Java Culture will also offer its clients pastries, small salads and sandwiches. For the gourmet clientele that prefers to prepare its coffee at home, Java Culture will also be selling coffee beans. The menu offerings will be supplemented by free books and magazines that customers can read inside the coffee bar. 3.1 Product Description: The menu of the Java Culture coffee bar will be built around espresso-based coffee drinks such as lattes, mochas, cappuccinos, etc. Each of the espresso-based drinks will be offered with whole, skimmed, or soy milk. Each of these coffee beverages is based on a shot of espresso, which is prepared in the espresso machine by forcing heated water through ground coffee at high pressure. Such espresso shots are combined with steamed milk and/or other additives like cocoa, caramel, etc., to prepare the espresso-based beverages. Proper preparation techniques are of paramount importance for such drinks. A minor deviation from the amount of coffee in the shot, the size of the coffee particles, the temperature of milk, etc., can negatively affect the quality of the prepared drink. 3.2 Sales Literature: Two thousand flyers will be distributed in the adjacent neighborhood, on the University campus, at the malls and in the selected office buildings within two weeks prior to the opening of Java Culture. Subsequently, free postcards with Java Culture endorsement will be printed to increase the company visibility among the patrons. 4.0 Market Analysis Summary: U.S. coffee consumption has shown steady growth, with gourmet coffee having the strongest growth. Coffee drinkers in the Pacific Northwest are among the most demanding ones. They favor well-brewed gourmet coffee drinks and demand great service. Eugene, OR, with its liberal and outgoing populace and long rainy winter, has traditionally been a great place for coffee establishments. Java Culture will strive to build a loyal customer base by offering a great tasting coffee in a   relaxing environment of its coffee bar located close to the bustling University of Oregon campus. 4.1 Market Segmentation: Java Culture will focus its marketing activities on reaching the University students and faculty, people working in offices located close to the coffee bar and on sophisticated teenagers. Our market research shows that these are the customer groups that are most likely to buy gourmet coffee products. Since gourmet coffee consumption is universal across different income categories and mostly depends on the level of higher education, proximity to the University of Oregon campus will provide access to the targeted customer audience. The chart and table below outline the total market potential (in number of customers) of gourmet coffee drinkers in Eugene, OR. Java Culture will cater to people who want to get their daily cup of great-tasting coffee in a relaxing atmosphere. Such customers vary in age, although our location close to the University campus means that most of our clientele will be college students and faculty. Our market research shows that these  are discerning customers that gravitate towards better tasting coffee. Furthermore, a lot of college students consider coffee bars to be a convenient studying or meeting location, where they can read or meet with peers without the necessity to pay cover charges. For us, this will provide a unique possibility for building a loyal client base. 4.2.1 Market Needs: General trend toward quality among U.S. consumers definitely plays an important role in the recent growth in gourmet coffee. Additionally, such factors as desire for small indulgencies, for something more exotic and unique, provide a good selling opportunity for coffee bars. 4.3 I Industry Analysis: Coffee consumption has shown a steady 2.5% growth rate in the United States over the last decade. In 1994, total sales of coffee were approximately $7.5 billion with gourmet coffee representing 33% (or $2.5 billion) of that. The retail coffee industry is flourishing in the U.S. Pacific Northwest. The local climate, with a long rainy season, is very conducive for the consumption of hot non-alcoholic beverages. At the same time, hot dry summers drive people into cafes to order iced drinks. Further, coffee has really become a part of the lifestyle in the Pacific Northwest. Its discerning coffee drinkers are in favor of well-prepared, strong coffee-based beverages, which they can consume in a  relaxing environment. 4. 4 Competition and Buying pattern: Competition: According to the 1997 Oregon Food service Statistics (NAICS 72), Eugene had 45 established snack non-alcoholic beverage bars (NAICS 722213) with total sales of $14.2 million. Among other establishments that offer coffee drinks to their customers are most of Eugenes limited- and full-service restaurants. Java Cultures direct competitors will be other coffee bars located near the University of Oregon campus. These include Starbucks, Cafe Roma, The UO Bookstore, and other Food service establishments that offer coffee. Starbucks will definitely be one of the major competitors because of its strong financial position and established marketing and operational practices. However, despite of Starbucks entrenched market position, many customers favor smaller, independent establishments that offer cozy atmosphere and good coffee at affordable prices. Cafe Roma is a good example of such competition. We estimate that Starbucks holds approximately 35% market share in that neighborhood, Cafe Roma appeals to 25% of customers, The UO Bookstore caters to another 10%, with the remaining market share split among other establishments. Java Culture will position itself as a unique coffee bar that not only offers the best tasting coffee and pastries but also provides home-like, cozy and comfortable environment, which established corporate establishments lack. We will cater to customers bodies and minds, which will help us grow our market share in this competitive market. Buying Patterns: The major reason for the customers to return to a specific coffee bar is a great tasting coffee, quick service and pleasant atmosphere. Although, as stated before, coffee consumption is uniform across different income segments, Java Culture will price its product offerings competitively. We strongly believe that selling coffee with a great service in a nice setting will help us build a strong base of loyal clientele. 5.0 Strategy and Implementation Summary: Java Cultures marketing strategy will be focused at getting new customers, retaining the existing customers, getting customers to spend more and come back more often. Establishing a loyal customer base is of a paramount importance since such customer core will not only generate most of the sales but also will provide favorable referrals. 5.1 Competitive Edge: Java Culture will position itself as unique coffee bar where its patrons can not only enjoy a cup of perfectly brewed coffee but also spend their time in an ambient environment. Comfortable sofas and chairs, dimmed light and quiet relaxing music will help the customers to relax from the daily stresses and will differentiate Java Culture from incumbent competitors. 5.2 Sales Strategy: Java Culture baristas will handle the sales transactions. To speed up the customer service, at least two employees will be servicing clientswhile one employee will be preparing the customers order, the other one will be taking care of the sales transaction. All sales data logged on the computerized point-of-sale terminal will be later analyzed for marketing purposes. In order to build up its client base, Java Culture will use banners and fliers, utilize customer referrals and cross-promotions with other businesses in the community. At the same time, customer retention programs will be used to make sure the customers are coming back and spending more at the coffee bar. 5.3 Sales Forecast: Food costs are assumed at 25% for coffee beverages and 50% for retail beans and pastries. Proximity to the University campus will dictate certain sales seasonality with revenues slightly decreasing during the school vacation periods. The chart and table below outline our projected sales forecast for the next three years. 6.0 Management Summary: Java Culture is majority-owned by Arthur Garfield and James Polk. Mr. Garfield holds a Bachelors Degree in Business Administration from the University of ZYX. Hes worked for several years as an independent business consultant. Previously, he owned the ABC Travel Agency, which he profitably sold four years ago. Mr. Garfield has extensive business contacts in Oregon that he will leverage to help his new venture succeed. Mr. Polk has a Bachelors Degree in Psychology from the XYZ State University. For the last five years he has worked as a manager of DEF Ristorante, a successful Italian restaurant in Portland, OR. Under Mr. Polks management, the restaurant has consistently increased sales while maintaining a lower than average level of operating expenses. However, because of the investors other commitments they will not be involved into the daily management decisions at Java Culture. A professional manager ($35,000/yr) will be hired who will oversee all the coffee bar operations. Two full-time baristas ($25,000/yr each) will be in charge of coffee preparation. Four more part-time employees will be hired to fulfill the staffing needs. In the second and third year of operation one more part-time employee will be hired to handle the increased sales volume. 6.1 Management Team: A full-time manager will be hired to oversee the daily operations at Java Culture. The candidate (whos name is withheld due to his current employment commitment) has had three years of managerial experience in the definitely industry in Oregon. This persons responsibilities will include managing the staff, ordering inventory, dealing with suppliers, developing a marketing strategy and perform other daily managerial duties. We believe that our candidate has the right experience for this role. A profit-sharing arrangement for the manager may be considered based on the first year operational results. 6.2 Management Team Gaps: Despite the owners and managers experience in the definitely industry, the company will retain the consulting services of ABC Espresso Services, the consultants who have helped to develop the business idea for Java Culture. This company has over twenty years of experience in the retail coffee industry and has successfully opened dozens of coffee bars across the U.S. Consultants will be primarily used for market research, customer satisfaction surveys and to provide additional input into the evaluation of the new business opportunities. 7.0 Financial Plan: Java Culture will capitalize on the strong demand for high-quality gourmet coffee. The owners have provided the company with sufficient start-up capital. With successful management aimed at establishing and growing a loyal customer base, the company will see its net worth doubling in two years. Java Culture will maintain a healthy 65% gross margin, which combined with reasonable operating expenses, will provide enough cash to finance further growth.

Essay --

Witch-hunts occurred throughout England for centuries, so it was no surprise that the witchcraft hysteria eventually reach colonial New England in the late seventeenth century, but this wave of fear was different from any other. Beginning with two young girls, witchcraft affected every person living in the New World and by the end, over twenty men and women were convicted of witchcraft, as well as entire communities living in constant fear of being touched by the Devil. Puritans, a group of English settlers, held strong beliefs about the Devil which sparked ideas of witchcraft among the Salem community. The austere Puritan lifestyle left little room for creativity, resulting in accusations against innocent people. Women, in addition to children, were inferior and considered weak; it was believed that Satan used them to carry out his wishes, and as a result, these people became witches. The severity of Puritan religious beliefs indirectly caused the witchcraft hysteria to reach its p eak during the Salem Witch Trials. Prominent and influential among the colonies, mainly Massachusetts, Puritanism was not only a religion, but a lifestyle. Puritans left England in 1630, with the intent to reform the Church of England. These English Protestants were discontent on how the Church of England was run and they made it their mission to â€Å"purify† and eliminate the church of Catholic influences, as well as â€Å"invigorate daily practices of religion.† Overall, Puritans desired â€Å"England to be reformed as John Calvin (1509-1564) had reformed Geneva (Hall, 21).† By moving to New England, Puritans had the freedom to establish their own religious authority. Puritanism controlled every activity in order to maintain a constant unity between people and Go... ...ities. â€Å"Young women at that time had nothing at all to feed their imaginations. There were no fairy tales or stories, no art, theater, or classical music (Kallen 23).† In addition to restrictions of childhood, extreme pressure was placed on children to remain pure or suffer the potential punishments from the Devil. At young ages, fear was planted in children’s minds causing hyperawareness of Satan’s wrath to frighten a child’s consciousness (Hall 23). The combination of fear, lack of imaginative outlets, and pressures on children were catalysts to the uproar of witches and witchcraft. With little ability and opportunity to express any behavior other than obedience, it was understandable that young Abigail Williams and Betty Paris claimed that they were possessed by witches, and in turn, these accusations engulfed the entire settlement of Salem into the hysteria.

The Dirty South :: essays research papers

The Dirty South During the times of the Civil Rights Movement the black communities of Birmingham, Alabama suffered severely due to the notorious acts of racism geared towards them simply because they were black. They boldly endured beatings, lynching, bombings, and demeaning treatment from the white community and especially from the Clan. The September 15, 1963 racially motivated bombing of the Birmingham’s Sixteenth Street Baptist Church, which resulted in the deaths of four innocent black girls, was one of the darkest moments of the Civil Rights Movement and perhaps one of the darkest days in Birmingham, Alabama’s history. Betty Blackman was born and raised in Birmingham. Her life was engulfed by the racism and left her with dramatically scaring memories of Birmingham.   Ã‚  Ã‚  Ã‚  Ã‚  I grew up in the city of Birmingham, Alabama. I was born there December 11, 1947. Most of the memories I have of growing up there are the most painful memories that I have, which is strong racism and living in every day fright. I remember not being able to drink out of the cleaner water fountains around town; they were for the white people. The water fountains that were available to us were few, far between and very filthy. The black people were treated like dogs in Birmingham. I remember having to enter of the all stores and restaurants in town through the back entrances. One place I remember so vividly was a restaurant called Stadium Grill. We ordered food there every week while we were doing the wash across the street at the Laundromat. We enter in the back door into a very tiny poorly lit room. There were no tables or chairs for us to sit and eat there, it wasn’t allowed. There was only a small window to which we placed our orders and left. The front of the restaurant was large; it had tables with real cloth coverings and beautiful flowers sitting in the middle of the tables. I never once stepped foot inside the front of that restaurant. The way our communities were much different than they are now. Black people were not allowed to live among the white people. The white people lived in big lavish homes on the far east side of town and the blacks lived on the west side of town in small run down homes. There was, however, one subdivision that the wealthier black families lived. The name of it was the Goldwire Area and even now it never compares to the homes in which the poverty stricken families live now. The Dirty South :: essays research papers The Dirty South During the times of the Civil Rights Movement the black communities of Birmingham, Alabama suffered severely due to the notorious acts of racism geared towards them simply because they were black. They boldly endured beatings, lynching, bombings, and demeaning treatment from the white community and especially from the Clan. The September 15, 1963 racially motivated bombing of the Birmingham’s Sixteenth Street Baptist Church, which resulted in the deaths of four innocent black girls, was one of the darkest moments of the Civil Rights Movement and perhaps one of the darkest days in Birmingham, Alabama’s history. Betty Blackman was born and raised in Birmingham. Her life was engulfed by the racism and left her with dramatically scaring memories of Birmingham.   Ã‚  Ã‚  Ã‚  Ã‚  I grew up in the city of Birmingham, Alabama. I was born there December 11, 1947. Most of the memories I have of growing up there are the most painful memories that I have, which is strong racism and living in every day fright. I remember not being able to drink out of the cleaner water fountains around town; they were for the white people. The water fountains that were available to us were few, far between and very filthy. The black people were treated like dogs in Birmingham. I remember having to enter of the all stores and restaurants in town through the back entrances. One place I remember so vividly was a restaurant called Stadium Grill. We ordered food there every week while we were doing the wash across the street at the Laundromat. We enter in the back door into a very tiny poorly lit room. There were no tables or chairs for us to sit and eat there, it wasn’t allowed. There was only a small window to which we placed our orders and left. The front of the restaurant was large; it had tables with real cloth coverings and beautiful flowers sitting in the middle of the tables. I never once stepped foot inside the front of that restaurant. The way our communities were much different than they are now. Black people were not allowed to live among the white people. The white people lived in big lavish homes on the far east side of town and the blacks lived on the west side of town in small run down homes. There was, however, one subdivision that the wealthier black families lived. The name of it was the Goldwire Area and even now it never compares to the homes in which the poverty stricken families live now.

Adaptive Memory Essay

The aim of this particular study was to research adaptive memory and attempt how best to explain how this â€Å"adaptive memory† works. In this experiment 252 first year students were the participants. According to which tutorial group they were in, the participants were given a scenario, with the scenarios being: * Ancestral Hunter * Modern Hunter * Future Hunter Both the Ancestral and Future hunter scenarios contained 80 participants while 92 were placed in the Modern Hunter group. Participants were asked to read a scenario according to which group they were placed in (i. e. Modern scenario for Modern Hunter group etc) following this they were asked to read and rate a list of thirty-five words based on their relevance to their scenario. This list of words was shown on a screen for five seconds each. Following this exercise, participants were then asked to complete a number task in which they were given a list of twelve numbers, each being a seven digit number, where each number was shown on the screen for one second. See more: Sleep Deprivation Problem Solution Speech Essay After this, participants were given ten minutes to attempt to recall as many words as possible from the original thirty-five words they had rated. The results showed encoding was most effective for the future hunter scenario. Introduction. A proposition made by evolutionary psychologists is that our cognitive processes have been shaped and tuned by way of adaptation. One situation is that of survival. The ultimate goal is for humans to survive and reproduce, because of this humans have adapted and evolved to heighten their senses in a situation where their survival is threatened. Items can be processed more deeply and remembered for longer when the context of the word given, seems to be a scenario in which the mind believes it needs to actively fight for its own survival. One of the most interesting findings into this theory is the results of Nairne, Thompson and Panderiada’s (2007) experiment. The findings of their experiment revealed life of an encoding task that results in higher levels of free recall than those found with past tested methods. The theory of levels of processing framework states that retention of the given word varies in relation to the depth of which the word in question is processed (Craik & Tulving, 1975). The series of experiments performed by Craik and Tulving found that the participants would process a word better when matching to a related question. This experiment attempts to find how adaptive memory can be best explained. Three different scenarios were used to encode a list of words. It is hypothesised that the scenario in which survival is the ultimate goal, is where the words will be more salient and hence acquire a higher retention of the words listed. Method. Participants were 252 first year undergraduate students undertaking psychology at the University of New South Wales. The experiment was completed during tutorials as a group experiment. The experiments took place according to the tutorial group, and were not performed at the same time. Design. The independent variables in this experiment were the scenarios given to the participants and the list of words and numbers presented to participants after they had completed the scenario. Materials and Design. Stimuli used were 35 concrete nouns selected at random from a list of words which were generated by submitting a range of 400-700 for frequency, concreteness, imageability and meaningfulness criteria in MRC Psycholinguistic Database and twelve seven digit numbers. Procedure. Depending on which tutorial group the student was in, participants were asked to read a survival scenario. In total there were three different scenarios given; Ancestral Hunter, Modern Hunter and Future Hunter. After the participant read through the given scenario they were asked to rate a list of 35 words for relevance. Each word was shown on a screen for a total of five seconds. Following this memory task, the students were then shown 12 seven-digit numbers on the screen, each number being shown for ten seconds. After being presented all twelve, they were given ten seconds to list as many numbers as they could remember. Following this task they were given ten minutes to attempt to recall as many words as possible from the list of thirty-five words given to them to rate after each scenario.