Four General Types of Measurement
There are four general types of measurement scales: sorting, ranking, rating, and categorizing (Cooper & Schindler, 2006). The data collected by the survey team at Insuratel used a rating scale. The surveys where used to measure employee job satisfaction across departments. The Likert Scale was used to collect the data for all the questions in the survey. The questions asked in the survey studied the attitudes of the employees and their satisfaction. The surveys provided valuable feedback and determined that most of the employees are satisfied with their jobs at Insuratel. The study also suggests that employees don’t have a strong opinion about support from upper level management.
Nominal and ordinal measurement scales are used to categorize data. Keeping this in mind, the Nominal data allowed Insuratel to group the selected sample into subgroups. Based on the data collected most lower-level male employees feel that they are treated fairly by their direct supervisors. However, lower-level female employees made up 80% of the employees who either disagree or strongly disagree that they feel they are treated fairly. The ordinal data shows that even though the majority of the female sample feels that they are treated unfairly, the majority of the employees are satisfied with the way that their direct supervisors treat them. Based on the findings, Insuratel would benefit from implementing a workplace sensitivity program.
Interval and ratio measurements are defined as continuous data. The interval scales incorporate the concept of equality of interval (Cooper & Schindler, 2006). The highest satisfaction levels were from males in middle management. From the data it can be concluded that middle management is has the highest satisfaction of all employees who work at Insuratel. Ratio scales look at the departments and their satisfaction levels and it has been determined by the data that Insuratel’s Marketing department has the highest percentage of satisfied
Nominal and ordinal measurement scales are used to categorize data. Keeping this in mind, the Nominal data allowed Insuratel to group the selected sample into subgroups. Based on the data collected most lower-level male employees feel that they are treated fairly by their direct supervisors. However, lower-level female employees made up 80% of the employees who either disagree or strongly disagree that they feel they are treated fairly. The ordinal data shows that even though the majority of the female sample feels that they are treated unfairly, the majority of the employees are satisfied with the way that their direct supervisors treat them. Based on the findings, Insuratel would benefit from implementing a workplace sensitivity program.
Interval and ratio measurements are defined as continuous data. The interval scales incorporate the concept of equality of interval (Cooper & Schindler, 2006). The highest satisfaction levels were from males in middle management. From the data it can be concluded that middle management is has the highest satisfaction of all employees who work at Insuratel. Ratio scales look at the departments and their satisfaction levels and it has been determined by the data that Insuratel’s Marketing department has the highest percentage of satisfied
References: Cooper, D. R. & Schindler, P. S. (2006). Business research methods (9th ed.). Boston: McGraw-Hill/Irwin. Lind, D., Marchal, W., & Wathen, S. (2008). Statistical techniques in business and economics (13th ed.). Boston: McGraw-Hill/Irwin. Maliakal, L. (2010). Absenteeism in the workplace, Retrieved on July 25, 2010 from http://www.Buzzle.com Reeves, T.C.(2000). Alternative assessment approaches for online learning environments in higher education, Journal of Educational Computing Research. Ch. 23, pp. 101-111 Spector, Paul Van Rooy, W.(1998). Addressing possible problems of validity and reliability in qualitative educational research, Australian Association for Research in Education. Retrieved July Statistical Analysis