Academy of Management Journal 2009, Vol. 52, No. 3, 527–544. CHANGE IN NEWCOMERS’ SUPERVISOR SUPPORT AND SOCIALIZATION OUTCOMES AFTER ORGANIZATIONAL ENTRY MARKKU JOKISAARI Finnish Institute of Occupational Health JARI-ERIK NURMI University of Jyväskylä Using a four-wave longitudinal research design and a latent growth modeling approach, we modeled change in newcomers’ perceived supervisor support and socialization outcomes (role clarity, work mastery, job satisfaction, and salary). Further,
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regardless of socio-educational characteristics, students’ satisfaction did not vary significantly. A notable finding is that implementation of services is significantly correlated to the satisfaction with the services received. Through multiple regression analysis, of the 12 service areas, eight (8) independent variables emerged as predictors of student satisfaction. These are instruction, student registration, library/internet, management council, accounting, medical-dental, canteen and guidance and
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pharmaceutical Company Limited”. The proposal will focus on the steps of research through several variables. The main findings of the research will be to find out the determinants of capital structure and find the most vital one through statistical analysis and interpretation. I highly appreciate you for creating such opportunity to work on the selected subject. The outcome of the research will help us to concentrate deeply in evaluating pharmaceutical companies in respect of capital structure and
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HOUSEHOLD PROJECTIONS FOR TANZANIA: 2003-2025 Josephat Peter M.A. (Statistics) Dissertation University of Dar es Salaam November, 2007 HOUSEHOLD PROJECTIONS FOR TANZANIA: 2003-2025 By Josephat Peter A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Arts (Statistics) of the University of Dar es Salaam University of Dar es Salaam November, 2007 CERTIFICATION The undersigned certify that he has read and hereby recommend for acceptance
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SIMPLE LINEAR REGRESSION EXAMPLE Butler’s Trucking Company is an independent trucking Company in southern California. A major portion of Butler’s business involves deliveries throughout its local area. To develop better work schedules, the managers want to estimate the total daily travel time for their drivers. Initially the managers believed that the total daily travel time would be closely related to the number of miles traveled in making the daily deliveries. A simple random sample
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variable was age. Older people make more money, are more familiar with investments, and are more willing to make larger investments currently. Also, age related to home value in that an increase in age was related to an increase in home value. Analysis Investments | Income | Education | Kids | Home Value | Additional Investments | Age | 72000 | 198000 | 4 | 4 | 480000 | 25000 | 38 | 225000 | 300000 | 4 | 3 | 790000 | 50000 | 43 | 4000 | 30000 | 2 | 0 | 0 | 5000 | 23 | 5000 | 15000
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ACCT 601– Managerial Accounting Investigating Cost Drivers Part A – Instructions The object of this exercise to gain a better understanding of overhead costs through the use of regression analysis. In particular, you will investigate which service department activities appear to drive or cause departmental overhead. The data you will use is from a proprietary database which contains detailed departmental (i.e. USED, NEW CAR, SERVICE, BODY SHOP) financial information for approximately 250
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INTRODUCTION Unprecedented globalizations have witnessed double digit economic growth resulting in fierce competition and accelerated pace of innovation. As a result inflow of Foreign Direct investments has become a striking measure of economic development in both developed and developing countries. FDI and FII thus have become instruments of international economic integration and stimulation. Fast growing economies like Singapore, China, Korea etc have registered incredible growth at onset
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business requires tools such as a regression model in which use of historical information might benefit the organization particularly since this model’s benefit of allowing its users to capitalize on the benefit of choosing previously collected research data taking advantages of time saved from this element of the research, accuracy and the speed of organizing data obtained in previous research studies (Bowerman, O’Connell, Murphree, & Orris, 2010) Using the regression model, the information will
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why a certain result occurred (statistical analysis, quantitative analysis) * Experimenting to test previous decisions (A/B testing, multivariate testing) * Forecasting future results (predictive modeling, predictive analytics) Answers the Important Questions Such As: -Why did it happen? Will it happen again? What will happen if we change x? What else does the data tell us that never thought to ask? By Using: Statistical/Quantitative Analysis Data Mining Predictive Modeling Multivariate
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