Subject code: H14af01

Study | Lough et al. (1985): study US 1980 |

Title | Life Satisfaction Following Heart Transplantation. |

Source | Heart Transplantation, 1985, Vol. 4, 446 - 449 |

Public | Heart transplantation recipients, 7 month to 14 years after transplant, USA, 198? |

Sample | Probability simple random sample |

Non-Response | 25% |

Respondents N = | 75 |

Correlate | |

Author's label | Distress due to symptoms |

Our classification | Concerns about health, code H14af01 |

Operationalization | 27 item inventory of symptoms related to immunosuppressive drug side-effects, rated for degree of emotional dis stress associated with symptoms 0 not at all upsetting 4 extremely upsetting |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

O-QL?-c-sq-v-6-a | AoV=- p < .009 | |

O-SQL-c-sq-?-5-a | AoV=- p < .021 | |

O-SQL-c-sq-?-5-a | RČ=.03 | |

O-QL?-c-sq-v-6-a | RČ=.015 |

Appendix 1: Happiness measures used

Code | Full Text |

O-QL?-c-sq-v-6-a | Selfreport on single question: "....... current quality of life" (full lead items not reported) 1 2 3 4 5 6 (response options not reported) |

O-SQL-c-sq-?-5-a | Selfreport on single question: ".....satisfaction with current quality of life ...." (Full question not reported.) 1 2 3 4 + (Response options: not reported) |

Appendix 2: Statistics used

Symbol | Explanation |

AoV | ANALYSIS of VARIANCE (ANOVA) Type: statistical procedure Measurement level: Correlate(s): nominal, Happiness: metric. In an ANOVA, the total happiness variability, expressed as the sum of squares, is split into two or more parts, each of which is assigned to a source of variability. At least one of those sources is the variability of the correlate, in case there is only one, and always one other is the residual variability, which includes all unspecified influences on the happiness variable. Each sum of squares has its own number of degrees of freedom (df), which sum up to Ne -1 for the total variability. If a sum of squares (SS) is divided by its own number of df, a mean square (MS) is obtained. The ratio of two correctly selected mean squares has an F-distribution under the hypothesis that the corresponding association has a zero-value. NOTE: A significantly high F-value only indicates that, in case of a single correlate, the largest of the c mean values is systematically larger than the smallest one. Conclusions about the other pairs of means require the application of a Multiple Comparisons Procedure (see e.g. BONFERRONI's MULTIPLE COMPARISON TEST, DUNCAN's MULTIPLE RANGE TEST or STUDENT-NEWMAN-KEULS) |

RČ | COEFFICIENT of DETERMINATION Type: test statistic Measurement level: Correlates: all metric, Happiness: metric Range: [0; 1] Meaning: RČ = 0 « no influence of any correlate in this study has been established. RČ = 1 « the correlates determine the happiness completely. |

Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.

https://worlddatabaseofhappiness.eur.nl