and other factors must be taken into consideration. "there was a *strong* positive correlation between X and Y (rs = .69‚ n = 123‚ p < .001)" with the appropriate word chosen according to the following: * .00-.19 “very weak” * .20-.39 “weak” * .40-.59 “moderate” * .60-.79 “strong” .80-1.0 “very strong” since normality was violated‚ we have to do a Spearman’s correlation as it does not assume normality (and other assumptions). SPSS will automatically convert
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Summary As majority of the parents find the need of a good foundation for their young ones‚ the author of the article aims to help the preschool learning center in positioning customer advantage by identifying the important preschool attributes that parents placed emphasis on in selecting preschools and whether the parents differ significantly from each other based on the given preference attributes. The author used conjoint analysis technique to identify the five important attributes and to segment
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This essay will attempt to critically analyse Botticini’s article‚ ‘A loveless economy? Intergenerational altruism and the marriage market in a Tuscan town’. There will be particular concentration placed upon the statistical approaches Botticini has used and the strengths and weaknesses these approaches prompt‚ with minor evaluation regarding the essay’s layout‚ structure and accessibility. The title and Botticini’s opening comments make it clear to the reader that this will be an extraordinary
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researched was the consumer Papandayan Hotel Bandung in June 2009‚ amounting to 304 people. Sampling technique used was Accidental sampling‚ and I obtained sample of 75 people. To analyze the data‚ the Likert scale is used and Spearman Rank correlation coefficients. The results of these studies are (1) there was a relationship between the credibility of public relations activities of children in the activities of customer satisfaction. (2) There is a relationship between children activities program
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material to the projected requirement of the goods they offer. Therefore‚ businesses regularly employ correlation in forecasting the probable consumer requirement for their goods or services (Task List: MGMT600-1204B-03 : Applied Managerial Decision-Making‚ 2012). Correlation is a numerical process that can indicate if and how powerfully two or more variables are connected. With correlation as with other statistical approaches is only appropriate for quantifiable or numerical data where figures
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GMAC Gregg Schoenfeld ® Work-Life Balance: An MBA Alumni Report GMAC ® Research Reports • RR-05-09 • October 13‚ 2005 Introduction The issue of work-life balance has permeated the business community for decades (Carruthers‚ 2005; Spinks‚ 2004; Parsons‚ 2002)‚ and companies have responded with work-life programs to address the issues raised by their employees (Roberts‚ 2005). MBA students‚ as current and future members of the business community‚ are also aware of the issue. According to
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No. 1 Demographics Analysis…………………………………………..26 2 Normality Analysis…………………………………………….....30 3 Reliability Analysis ……………………………………………...31 4 Exploratory Factor Analysis………………………………….…..33 5 Descriptive Analysis……………………………………………. 34 6 Correlation Analysis……………………………………………..36 7 Regression Analysis (Without Impact of Moderator)…………...37 8 Regression Analysis (With Impact of Moderator)………………38 List of figure S. NO. Page No. 1 Theoretical
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(SMVM)………………………………….. 32 Appendix 4. Extract of Employee Engagement Survey Questions from Britt and colleagues publications……………………………………………………………………... 33 Appendix 5. Correlation between Employee commitment Index and Drivers…………….. 35 Appendix 6. Correlation between Vigor and Drivers………………………………………. 37 Appendix 7. Correlation between Employee satisfaction and Drivers…………………….. 39 Appendix 8. Distribution of Reponses to Employee commitment and Employee satisfaction by Employee Category………………………………………………………
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Contents TASK 3 4 Primary Research 4 Secondary research 5 Results 6 Introductory questions 6 Main questions 6 Final questions 8 Memo 9 Task 5 10 Correlation 10 Positive correlation 10 Negative correlation 10 No correlation 10 Strengths of correlations 11 Limitations of correlations 11 5 A + B. 11 5C. 12 5D. 13 5E. 13 5F. 13 Task 7A. 14 Total float 14 Free float 14 7B. 14 7C. 15 7D. 15 Reference: 16 Further Reading 16 TASK 3 Primary Research The main objective of the survey was to identify
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Foundation Psychology Unit coordinator: Dr Melanie White Tutor: Mandy Cassimatis Title: Assessment 1: Research Report Word Count: 1725 Due: October 3rd‚ 2011 Abstract The goal of the present study is discover the correlation relationship between two personality traits (sensitivity to reward‚ sensitivity) to punishment and Physical Activity among QUT Psychology undergraduate students. It was hypothesis that students with higher reward sensitivity will be more sensitive
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