### Correlational finding on Happiness and Age difference among elderlySubject code: A04ab03

 Study Keith (1985a): study US 1969 Title Work, Retirement and Well-Being among Unmarried Men and Women. Source Gerontologist, 1985, Vol. 25, 410 - 416 Public 58-63 aged unmarried, followed 10 years, USA, 1969-1979 Sample Probability stratified sample Non-Response Respondents N = 1398

 Correlate Author's label Age Page in Source 414 Our classification Age difference among elderly, code A04ab03 Operationalization ``` ```

 Observed Relation with Happiness HappinessMeasure Statistics Elaboration/Remarks O-HL-c-sq-v-3-aa r=+ ```Happiness assessed at T2: Widowed r= +.04 (ns) ß= +.02 (ns) Divorced/Separated r= +.17 (ns) ß= +.16 (05) Never married r= -.01 (ns) ß= .00 (ns) ß's controlled for - sexe - earlier education - earlier occupation - earlier happiness - retirement attitudes - health - income - employment. ```

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

Appendix 2: Statistics used
 Symbol Explanation 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