For policy purposes, Social Science researchers are always interested in the relationships between or among variables....

 

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For policy purposes, Social Science researchers are always interested in the relationships between or among variables. When two variables are related, a desired policy outcome can be achieved by manipulating one of such variables. Table 1 illustrates one of such research outputs. Table 1: Correlation analysis of motivation and employee performance X4 - Employee performance X4-Employee performance Pearson Correlation Sig. (2-tailed) N 612 *** Coefficient is significant at the 0.01 level (2-tailed) i. ii. 1.00 Study the results carefully and explain them in terms of presence of relationship nature of the relationship direction of the relationship iii. X2 - Motivation 0.593*** .000 612 [2 marks] [2 marks] [2 marks] DC: ACD01-F004 [2 marks] iv. the strength and significance of association V. the changes in employee performance that can be attributed to motivation [2 marks] For policy purposes, Social Science researchers are always interested in the relationships between or among variables. When two variables are related, a desired policy outcome can be achieved by manipulating one of such variables. Table 1 illustrates one of such research outputs. Table 1: Correlation analysis of motivation and employee performance X4 - Employee performance X4-Employee performance Pearson Correlation Sig. (2-tailed) N 612 *** Coefficient is significant at the 0.01 level (2-tailed) i. ii. 1.00 Study the results carefully and explain them in terms of presence of relationship nature of the relationship direction of the relationship iii. X2 - Motivation 0.593*** .000 612 [2 marks] [2 marks] [2 marks] DC: ACD01-F004 [2 marks] iv. the strength and significance of association V. the changes in employee performance that can be attributed to motivation [2 marks]

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i We can see from the correlation analysis table that the pvalue000 is smaller than the signific... View the full answer