Test the claim that the higher the educational degree that one has the happier the person is. Use GSS2012_revised.sav SPSS dataset.

I have identified the variables as:

The IV is RS Highest [degree] (ordinal)

DV is general happiness [happy] (ordinal)

Conduct the appropriate test at ?=.05 in SPSS.

Please identify any post hoc test to Chi square tests such as Phi&Cramer's V, Kendall's tau c, or whatever else may apply. Do we rely on Gamma in this situation as well?

Here is the output:

Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent GENERAL HAPPINESS * 1493 99.6% 6 0.4% 1499 100.0% RS HIGHEST DEGREEGENERAL HAPPINESS *RS HIGHEST DEGREE Crosstabulation RS HIGHEST DEGREE LT HIGH HIGH JUNIOR SCHOOL SCHOOL COLLEGE BACHELOR GRADUATE Total GENERAL HAPPINESS VERY HAPPY Count 65 188 37 101 48 439 % within RS HIGHEST 33.0% 26.2% 32.2% 33.8% 29.1% 29.4% DEGREE PRETTY HAPPY Count 86 432 59 170 98 845 % within RS HIGHEST 43.7% 60.3% 51.3% 56.9% 59.4% 56.6% DEGREE NOT TOO HAPPY Count 46 97 19 28 19 209 % within RS HIGHEST 23.4% 13.5% 16.5% 9.4% 11.5% 14.0% DEGREE Total Count 197 717 115 299 165 1493 % within RS HIGHEST 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% DEGREESymmetric Measures Asymptotic Approximate Standard The Approximate Value Error Significance Ordinal by Ordinal Kendall's tau-c -.051 022 -2.255 .024 Gamma -.084 .037 -2.255 024 N of Valid Cases 1493 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis.Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 32.167 8 <.001 likelihood ratio co linear-by-linear association n of valid cases a. cells have expected count less than the minimum is>