Correlational finding on Happiness and Past happiness ( 1 to 10 years ago)
Subject code: H04ab01b

StudyBradburn (1969): study US 1963
TitleThe Structure of Psychological Well-Being.
SourceAldine Publishing, 1969, Chicago, USA
Public21-60 aged, urban areas, USA, 1963 - 64
Non-Response 20%, Attrition 30%
Respondents N =2787

Author's labelEarlier affect
Page in Source 82
Our classificationPast happiness ( 1 to 10 years ago), code H04ab01b
10-item index of specific affects in the past few weeks 
(Bradburns' Affect Balance Scale AFF 2.3)

Assessed at:
T1: January 1963
T2: June    1963
T3: Oktober 1963
T4: January 1964

Observed Relation with Happiness
Data Detroit Suburban sample only (N=408).

Happiness level (Affect Balance) in average 
ridits. (RT)
T1: RT=.47
T2: RT=.54
T3: RT=.53
T4: RT=.50

Only T1-T2 difference significant.

Ridit analysis compares distribution in category 
with distribution in total sample RT above .50 
means relative high level, RT below .50 relative 
low level.

Appendix 1: Happiness measures used
CodeFull Text
A-BB-cm-mq-v-2-aSelfreport on 10 questions:

During the past few weeks, did you ever feel ....? (yes/no)
A Particularly exited or interested in something?
B So restless that you couldn't sit long in a chair?
C Proud because someone complimented you on something
you had done?
D Very lonely or remote from other people?
E Pleased about having accomplished something?
F Bored?
G On top of the world?
H Depressed or very unhappy?
I That things were going your way?
J Upset because someone criticized you?

Answer options and scoring:
yes = 1
no = 0
-Positive Affect Score (PAS): A+C+E+G+I
-Negative Affect Score (NAS): B+D+F+H+J
-Affect Balance Score (ABS): PAS minus NAS
Possible range: -5 to +5

Name: Bradburn's 'Affect Balance Scale' (standard version)

Appendix 2: Statistics used
Type: test statistic
Measurement level: Happiness ordinal
Range: [0; +1]

Mr < .50: average happiness in this subgroup lower than in the larger population
Mr = .50: average happiness in this subgroup the same as in the larger population
Mr > .50: average happiness in this subgroup higher than in the larger population

'Ridit analysis' compares the distribution of happiness scores in subgroups to its distribution in the entire sample ("Relative to an Identified Distribution")

Testing for significance can be performed through a "BROSS Confidence Interval" (BCI). If all values the BCI for a subgroup are above/below 0.500, the subgroup is significantly more/less happy than the larger population.
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.