Correlational finding on Happiness and Current status: retired or not
Subject code: R14ab

StudyGonzalez (2008): study ES 2005
TitleBienestar Personal y Activades en la Edad Adulta Tardía. (Personal Well-Being and Activiteis in Late Adulthood).
SourceThesis, University of Malaga, Department of Psychology, 2008, Malaga, Spain
PublicElderly, city Spain, 2005
SampleNon-probability purposive sample
Respondents N =250

Author's labelEmployment status (females)
Our classificationCurrent status: retired or not, code R14ab
a: still working
b: retired
c: still housewife
Observed distributionN = a: 50, b: 50, c: 50
Females only

Observed Relation with Happiness
M-FH-u-sq-v-7-aAoV= ns
A-BMr-cm-mq-v-5-aAoV= ns
F (2,149) = 1.51; p = .224

Appendix 1: Happiness measures used
CodeFull Text
A-BMr-cm-mq-v-5-aSelfreport on 12 questions:

During the past 30 days, how much of the time did you feel ..?
A So sad nothing could cheer you up
B Nervous
C Restless or fidgety
D Hopeless
E That everything was an effort
F Worthless
G Cheerful
H In good spirits
I Extremely happy
J Calm and peaceful
K Satisfied
L Full of life

Computation: (G+H+I+J+K+L) - ( A+B+C+D+E+F)

Name: Mroczek & Kolarz (1998) Affect Balance Scale (MIDI-affect)
M-FH-u-sq-v-7-aSelf report on single question

Do you feel happy?
1 strongly disagree
2 disagree
3 slightly disagree
4 neither agree or disagree
5 slightly agree
6 agree
7 strongly agree

Appendix 2: Statistics used
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)
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.