The document discusses using SPSS to analyze data from two consultants who rated 20 potential sites for a company to expand its business. Crosstabs analysis is used to compute the measure of agreement between the consultants' ratings. The Kappa value of 0.429 suggests the consultants' ratings are largely similar, with some exceptions. It is determined that one consultant should be retained for further work based on a closer examination of their reports. The summary provides high-level analysis and recommendations based on the consultant rating data.

1. SPSS Measure of Agreement
Selvarasu A Mutharasu Annamalai University 24-01-2015

2. Summary - Measure of Agreement
A company is interested in expanding its business, but has to choose from
among 20 different sites to build. They have hired two consultants to separately
evaluate these sites. In addition to an extended report, each consultant was
asked to summarize each site as a good, fair, or poor prospect.
You need to determine which sites the company should investigate further, and,
if possible, determine which of the consultants the company should retain for
further work. The consultants' ratings are collected in site.sav. Use Crosstabs
to compute the measure of agreement between the consultants' scores.
Sample File: siteratings.sav
► To run a Crosstabs analysis, from the menus choose:
Analyze > Descriptive Statistics > Crosstabs…

3. Cross Classify - Kappa Statistics

4. Table showing Cross Classification Results

5. Kappa Statistics
The value of Kappa is statistically significantly
different from 0, and its value of 0.429 suggests
that the consultants' ratings are largely similar, with
some exceptions.

6. Interpretation of Results
➔ The crosstabulation reaffirms that the consultants largely agree.
➔ You can certainly remove the six sites they both considered Poor from
consideration and perhaps ignore the five that were rated Poor by the
second consultant and Fair by the first.
➔ The four sites they rated as Good should be investigated and perhaps the
two rated Good by the second consultant and Fair by the first.
➔ The two that both rated Fair may or may not be further examined,
depending upon time and monetary constraints.

7. Summary of Kappa Statistics
The Measure of agreement
The only perplexing site is the one rated Good by the first consultant
and Poor by the second. Upon examination of their detailed reports,
you find that both gave the site high marks for ease of access to nearby
towns and the interstate. However, the second consultant went on to
note that the valley in which the site is located is in the runoff path for
snow thaw. Further, the second consultant made more decisive ratings
than the first, who rated rather conservatively.
You decide to retain the second consultant for further work.

8. Selvarasu A Mutharasu Annamalai University
Summary of Proportions

9. Sample Exercise
A human resources firm is analyzing the results of job satisfaction surveys and
is interested in whether there is a relationship between the number of years an
employee has been with their current employer and their level of job
satisfaction.
Information from job satisfaction surveys for a set of employees is stored in
demo.sav.
Use the Crosstabs procedure to examine the relationship, if any, between job
satisfaction and years with current employer.

10. Procedure

12. Cell Display

13. Chi-Square Test

14. Column Proportions

15. The column proportions test assigns a subscript letter to the categories of the
column variable. For each pair of columns, the column proportions (for each
row) are compared using a z test. If a pair of values is significantly different, the
values have different subscript letters assigned to them.
For example, for the Less than 5category, the value in the Highly dissatisfied
cell has the subscript a and the value in the Somewhat dissatisfied cell has the
subscript b. This means that the proportions in these cells are significantly
different.

16. Inferences

17. Moving to Higher level of Satisfaction

18. Trend in Column Proportion

19. Summary of Column Proportions
Using Crosstabs' column proportions tests, you have found
that relatively new employees (less than 5 years with their
present employer) are more apt to be dissatisfied with their
job while employees with relatively long tenures (more than
15 years with their present employer) are more likely to be
satisfied with their job.
No definitive statement about job satisfaction can be made
for employees who have been with their current employer
for 5 to 15 years.

20. Selvarasu A Mutharasu Annamalai University
Summarize - Summary Report

21. Sample Exercise
A real estate agent is helping a client to sell his home.
As a first step, she gathers information on all homes sold in
the area over the last year and then wants to prepare a
summary report for the client.
This example uses the file marketvalues.sav.
Use Summarize to create a table that reports summary
statistics for housing sales, grouped by the street on which
the house is located.

22. Procedure

23. Procedure Menu

24. Edit Table Title & Caption

25. Summary Report

26. Consistent Mean - Median Values

28. If Condition

29. Case listing - Summary Report

30. Summary

31. Conclusion
Learn to practice the following
Measure of Agreement
Summary of Column Proportion
Summary report of case listing