### Correlational finding on Happiness and Days illSubject code: H14ab04

 Study Howell et al. (2006): study MY 2003 Title Does Wealth Enhance Life Satisfaction for People Who Are Materially Deprived? Exploring the Association among the 'Orang Asli' of Peninsular Malaysia. Source Social Indicators Research, 2006, Vol. 76, 499 - 524 DOI DOI:10.1007/s11205-005-3107-0 Public Heads of households, Malaysia, 2003 Sample Probability systematic sample Non-Response 4,6% Respondents N = 307

 Correlate Author's label Recent household illness Page in Source 510,511 Our classification Days ill, code H14ab04 Operationalization ```The number of days the respondent or household member could not work in the previous month due to an illness in the household. ``` Observed distribution M=1,67 days SD=5,27 days (??)

 Observed Relation with Happiness HappinessMeasure Statistics Elaboration/Remarks O-Sum-u-mq-n-7-b r=-.17 p < .01

Appendix 1: Happiness measures used
 Code Full Text O-Sum-u-mq-n-7-b Selfreport on five questions:A I am very content with my lifeB Nothing is currently lacking in my lifeC When I examine my life as a whole, I feel I am not meeting my aspirations*D I feel dissatisfied because I'm not doing everything that I want to be doing in my life*Rating:1 strongly disagree..7 strongly agree* reversed keyed itemName: Contentment with life assesment Scale (CLASS)

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