2018
DOI: 10.17512/pjms.2018.18.2.11
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Performance Appraisal Politics and Employees’ Performance in Distinctive Economies

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Cited by 10 publications
(8 citation statements)
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“…The number of studies concluded that over 200 is a sufficient sample size to draw a logical conclusion [49]. In the cross-sectional comparative studies, there is a pattern to ensure fair representation is made about distinctive regions in order to have broader generalization as well as a logical conclusion [50][51][52][53]. Since the research focuses on the attainment of a global perspective, consumers from the UK, Canada, and Pakistan were targeted.…”
Section: Me =mentioning
confidence: 99%
See 3 more Smart Citations
“…The number of studies concluded that over 200 is a sufficient sample size to draw a logical conclusion [49]. In the cross-sectional comparative studies, there is a pattern to ensure fair representation is made about distinctive regions in order to have broader generalization as well as a logical conclusion [50][51][52][53]. Since the research focuses on the attainment of a global perspective, consumers from the UK, Canada, and Pakistan were targeted.…”
Section: Me =mentioning
confidence: 99%
“…The greater value or equal to 0.7 for Cronbach's alpha and composite reliability is acceptable in social science studies [51]. Furthermore, Average Variance Extracted (AVE) obtained values greater than 0.5 reflects the validity of the scale's internal consistency [52]. In the present study, all three criteria were found to be acceptable as Cronbach alpha and composite reliability were greater than 0.7 while AVE was greater than 0.5 in all three countries ( Table 1, Figures 2-4).…”
Section: Measurement Modelmentioning
confidence: 99%
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“…The criteria in the path coefficient were assessed by considering t-value, which should be equal or greater than 1.96 at the 0.05 significance level. According to Imran, Haque & Rębilas (2018), the threshold t-value must be 1.96 while the probability value should be less than 0.05. Additionally, R2 reflects the regression or variability within the dependent variable caused by the consid-ered predictor .…”
Section: Structural Modelmentioning
confidence: 99%