Case Study: Employee Engagement (Taken from Predictive HR Analytics Chapter 5, Example 4.) Learning Question: Do employe

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Case Study: Employee Engagement (Taken from Predictive HR Analytics Chapter 5, Example 4.) Learning Question: Do employe

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Case Study: Employee Engagement (Taken from Predictive HRAnalytics Chapter 5, Example 4.)
Learning Question: Do employee engagement levels significantlydiffer depending on location?
Given that engagement is such a key behaviour for organizationsto want to develop, it is important to know whether there are anyteam-level factors that might ‘predict’ engagement. The data setfor this case study includes a combination of team-level HRmetrics, employee demographic data and engagement survey data.There are 29,976 employees in these functions across the UK andthese employees are organized into 927 teams or employee units. The30 variables in the data set include the following:
Run a t-test with the team-level engagement results as thedependent variable (column S), comparing two regional andgeographical groups in the organization (or two samples) namely‘London’ or ‘Not London’ (Column H), on their engagement surveyresults. This is testing the strongly held belief (held by seniormanagement at the organization) that people in regional offices areless engaged than those based in the ‘dynamic’ London branches. Theindependent samples t-test is used when we have one independentvariable with two groups (the location in our example), whichdetermines which group people belong to, and one dependent variable(team engagement in our example). We want to test whether there isa significant difference between the team means of the two groupson the dependent variable.
Deliverables:
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