Type: test statistic
Measurement level: Correlate: ordinal, Happinessl: ordinal
Range: [-1; +1]

Meaning:
G = 0  «  no  rank correlation
G =  +1 «  strongest possible rank correlation, where high correlate values correspond to high happiness ratings.
G =  -1 «  strongest possible rank correlation, where high correlate values correspond with low happiness ratings.

Type: test statistic
Measurement level: Happiness ordinal
Range: [0; +1]

Meaning:
Mr < .50: average happiness in this subgroup lower than in the larger population
Mr = .50: average happiness in this subgroup the same as in the larger population
Mr > .50: average happiness in this subgroup higher than in the larger population

'Ridit analysis' compares the distribution of happiness scores in subgroups to its distribution in the entire sample  ("Relative to an Identified Distribution")

Testing for significance can be performed through  a "BROSS  Confidence Interval" (BCI). If all values the BCI for a subgroup  are above/below  0.500,  the subgroup is significantly  more/less happy than the larger population.

Type: test statistic
Measurement level: Correlate: ordinal, Happiness: ordinal
Range: [-1; +1]

Meaning:
tc = 0 «  no rank correlation
tc = 1 «  perfect rank correlation, where high values of the correlate correspond
with high happiness ratings.
tc = -1 «  perfect rank correlation, where high values of the correlate correspond
with low happiness ratings.