QUESTION THREE (a) 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 X2- Motivation performance X+-Employee Pearson 1.00 0.593*** Correlation performance Sig. (2-tailed) .000 N 612 612 *** Coefficient is significant at the 0.01 level (2-tailed) Study the results carefully and explain them in terms of i. presence of relationship ii. nature of the relationship iii. direction of the relationship DO JU1- 04 iv. the strength and significance of association v. the changes in employee performance that can be attributed to motivation

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
Section4.5: Analyzing Lines Of Fit
Problem 13E
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QUESTION THREE (a)
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
X2 - Motivation
performance
Xx-Employee
Pearson
1.00
0.593***
Correlation
performance
Sig. (2-tailed)
.000
N
612
612
*** Coefficient is significant at the 0.01 level (2-tailed)
Study the results carefully and explain them in terms of
i.
presence of relationship
ii.
nature of the relationship
iii.
direction of the relationship
DO
D01- 04
iv.
the strength and significance of association
v.
the changes in employee performance that can be attributed to motivation
Transcribed Image Text:QUESTION THREE (a) 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 X2 - Motivation performance Xx-Employee Pearson 1.00 0.593*** Correlation performance Sig. (2-tailed) .000 N 612 612 *** Coefficient is significant at the 0.01 level (2-tailed) Study the results carefully and explain them in terms of i. presence of relationship ii. nature of the relationship iii. direction of the relationship DO D01- 04 iv. the strength and significance of association v. the changes in employee performance that can be attributed to motivation
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