commercial banking sector. The sample respondents were chosen randomly. After one month long questionnaire collection, 300 useful questionnaires were collected to identify the relationship in this research. The data was analyzed by using regression analysis and correlation analysis. Hypotheses of the study were tested with the help of the analyzed data. The
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The current issue and full text archive of this journal is available at www.emeraldinsight.com/0048-3486.htm PR 38,5 The relationships between team learning activities and team performance Marianne van Woerkom Department of Human Resource Studies, Faculty of Social and Behavioural Sciences, Tilburg University, Tilburg, The Netherlands, and 560 Marcel Croon Tilburg University, Tilburg, The Netherlands Abstract Purpose – The purpose of this paper is to investigate how different team learning activities
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Advertising Passengers | 10.00 15.00 | 11.00 16.00 | 12.00 17.00 | 8.00 13.00 | 17.00
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high-speed ferry industry. The accuracy of the established regression equation has been seen to deviate appreciably by various sources of uncertainties. Verification of the equation with experimental database is also lacking to a certain extent. Further research is therefore needed to refine the accuracy as well as to complete the selection of crucial parameters employed. However, the results obtained have shown considerable promise, and a regression equation for predicting wave resistance of catamarans
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study, articles from several journals are be reviewed, of the articles are related to awareness of consumer in urban agriculture. The review of previous studies can provide researchers with information about models used, variables, techniques for analysis and result of related studies. The review can be used as guide lines for the present study. 2.1 Related Past Studies Consumer awareness is the understanding and knowledge that a buyer should have of his rights as a customer. The awareness is
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Bar Graphs & Pie Charts: follow area principle, (pie has to add up to 100%) Histograms: rectangles class intervals based on frequency Boxplots: less informative than histogram, (can’t tell shape unless unimodal) Statistics: Descriptive- how we cope w/ numbers [graphical methods (histograms, boxplots) numerical methods (mean, median)] Variable Types: QUANTITATIVE (numerical): Discrete- numbers are a certain gap apart, can’t have decimals (# kids in a house) Continuous- numbers can be arbitrarily
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Uni-variant analysis – Frequency Tables (qualitative) – Descriptive Statistics (quantitative) – Summary Tables • Bi-variant analysis – Contingency Tables – Correlation analysis – Variance analysis Research Techniques II 2 Multivariant analysis techniques DESCRIPTIVE TECHNIQUES Factor Analysis Correspondence Factor analysis Cluster Analysis Output Association / Reducing dimensions Typology EXPLANATORY TECHNIQUES Varian Analysis Regression Analysis Discriminant Analysis CHAID AID Conjoint Analysis Multidimensional
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Multinomial Logistic Regression using SPSS and NOMREG1 Multinomial Logistic Regression can be used with a categorical dependent variable that has more than two categories. Maximum-likelihood multinomial (polytomous) logistic regression can be done with SPSS using NOMREGt. For this example, the dependent variable marcat is marital status. This example uses 1990 IPUMS data, and includes black and white women 25 to 45. 1) Black 2) Age 3) Anychild Black women are coded 1, and white women are coded 0
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EFFECTS ON ENROLLMENT IN THE MEDICARE ADVANTAGE INSURANCE PLANS IN THE STATE OF TEXAS. Medicare is an insurance program provided by the federal government for people who are 65 years old or older, people of all ages with End-Stage Renal Disease, and certain disable people. Medicare is administered by the Centers for Medicare & Medicaid Services (CMS), an agency of the U.S. Department of Health and Human Services. Medicare has become America's leading health care insurance program, providing
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To analyze the occurrence of informality in firms and their tendency to underreport their output, a regression is utilized. A sample of 690 firms is chosen for this purpose. We choose the variable “% of Firms expressing that a typical Firm reports less than 100 % of sales” that may act as a proxy for this inclination as the dependent variable. Several other variables are chosen to explain this dependent variable. These explanatory variables are: the firm’s age, ownership (domestic/private), exporter
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