Data Cleaning and Reliability Analysis
Import the file “Engagement RAW Survey Results.csv” in Jamovi.
In this file, you will see 34 different variables that hold individual survey responses of 832 employees. The first 5 variables hold data linked to employees’ demographic profiles and the remaining variables are employee responses on a 1 to 5 response scale for a range of specific questions. The variables are listed below.
question 1
Before we can conduct any analysis, we should clean the raw data and prepare it for analyses. As you can see, each variable was measured using a few items (for instance, employee autonomy at work was measured using 3 items, aut1, aut2, and aut3). The first step of data cleaning is to create an overall composite score of ocb (i.e., the average an employee’s response of the 4 survey items). Following the step-by-step guide posted under the “Course Materials” folder, compute composite scores for the following variables:
ManMot
ocb
aut
justice
quit
Man
Eng
pos
*Additional Hints: Some of the survey items are negatively worded. Make sure to reverse code them before computing composite scores.
To submit your answer to this question, upload the final jamovi file to the Assignment Dropbox. You don’t need to enter anything in this answer sheet for this question.
Question 2
Conduct reliability analyses for all the variables and present the reliability statistics in the table below:
Variable Reliability Statistics
ManMot
ocb
aut
justice
quit
Man
Eng
pos
Based on your assessment of the reliability statistics:
Which variable has the highest reliability? Which variable has the lowest reliability? Are all of the reliabilities acceptable? Why or Why not?
