Correlational finding on Happiness and Sex (male vs female)Subject code: G01aa

 Study Hawkins & Booth (2005): study US 1980 Title Unhappily Ever After: Effects of Long-Term, Low-Quality Marriages on Well-Being. Source Social Forces, 2005, Vol. 84, 451 - 471 URL http://www.jstor.org/stable/3598312 Public Couples, USA, followed 12 years, 1980-1992 Sample Probability simple random sample Non-Response 35% Respondents N = 1150

 Correlate Author's label Gender Page in Source 458 Our classification Sex (male vs female), code G01aa Operationalization ```0=Female 1=Male ``` Observed distribution M=0.62, SD=0.48, Range 0-1

 Observed Relation with Happiness HappinessMeasure Statistics Elaboration/Remarks O-HL-c-sq-v-3-ad r=+.05 ns ```T1 Happiness (1980) ``` O-HL-c-sq-v-3-ad r=.00 ns ```T4 Happiness (1992) ``` O-HL-c-sq-v-3-ad Beta=+.00 ns ```T1-T4 change in happiness(T4 happiness controlling T1 happiness) Controlling for - Continuously married - Divorced/Unmarried - Divorced/Remarried - Age - White - Years of education - Family income - Number of children - Stepchild - Religiosity - Remarried - Cohabited ```

Appendix 1: Happiness measures used
 Code Full Text O-HL-c-sq-v-3-ad Selfreport on single question:Taking all things together, how would you say you are these days? Would you say you are..........?3 very happy2 pretty happy1 not too happy

Appendix 2: Statistics used
 Symbol Explanation Beta STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)Type: test statistic.Measurement level: Correlates: all metric, Happiness: metric.Range: [-1 ; +1]Meaning: beta > 0 « a higher correlate level corresponds to a higher happiness rating on average.beta < 0 « a higher correlate level corresponds to a higher happiness rating on average.beta = 0 « no correlation.beta = + 1 or -1 « perfect correlation. r PRODUCT-MOMENT CORRELATION COEFFICIENT (Also "Pearson's correlation coefficient' or simply 'correlation coefficient')Type: test statistic.Measurement level: Correlate: metric, Happiness: metricRange: [-1; +1]Meaning:r = 0 « no correlation ,r = 1 « perfect correlation, where high correlate values correspond with high happiness values, andr = -1 « perfect correlation, where high correlate values correspond with low happiness values.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl