: Examine your data using jamovi and interpret the results

This data set contains data from an Employee Survey used to measure employee engagement and job satisfaction of all employees at a local tech startup. For all employees, engagement and job satisfaction were measured in January and again in December. Engagement and job satisfaction scores (both at start and end of year) were calculated for each employee by averaging across multiple items of the questionnaire, which yielded continuous scores ranging from 0 to 20; scores were rounded to the nearest whole number for the final dataset. This year, the startup also wanted to track employees who were designated as "work from home" vs. "in office" to ultimately determine if there may be differences in engagement or job satisfaction across work locations. This information was recorded for each employee based on the nature of their job descriptions. More details about the variables in this dataset are included below.

Variables

The dataset includes 200 cases and 6 variables:

• Employee ID
• Group (1 - work in office, 2 - work from home)
• Engage_Jan- Start of year engagement scores (continuous scores ranging from 0 - 20)
• JobSat_Jan - Start of year job satisfaction scores (continuous scores ranging from 0 - 20)
• Engage_Dec - End of year engagement scores (continuous scores ranging from 0 - 20)

JobSat_Dec - End of year job satisfaction scores (continuous scores ranging from 0 -20)

1. Present a description of your variables:Provide a codebook in table format with the following four columns: (1) Variable name; (2) Variable description; (3) Variable levels/values; and (4) scale of measurement (i.e., nominal, ordinal, interval, ratio).