Correlational finding on Happiness and Moment of the interview
Subject code: I06aa01

StudySakawa et al. (2015): study JP Kinki 2006
TitleActivity, Time, and Subjective Happiness: An Analysis Based on an Hourly Web Survey.
SourceThe Institute of Social and Economic Research, Osaka University, Discussion Paper, 2015, No. 926, 1- 38
URLhttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=2564415
PublicStudents, Osaka, Japan, followed 14 months, 2006-2008
SampleNon-probability sample (unspecified)
Non-Response13%
Respondents N =70

Correlate
Author's labelHour of the day
Page in Source 11,24-27,29
Our classificationMoment of the interview, code I06aa01
Operationalization
Every hour of the day (from 1:00 to 24:00) respondents 
were asked how happy they felt right now, .

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
A-ARE-m-sqr-n-11-bOLRC=+/-
Average happiness falls during the night, reaching 
lowest value at 7:00 pm. It then rises up to 10:00 
pm. After staying at a constant level until 16:00, 
it goes up until 23:00.
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Appendix 1: Happiness measures used
CodeFull Text
A-ARE-m-sqr-n-11-bselfreport on repeated question

How happy do you feel now?
10 very happy
9
8
7
6
5
4
3
2
1
0 very unhappy


Appendix 2: Statistics used
SymbolExplanation
OLRCORDERED LOGIT REGRESSION COEFFICIENT
Statistic: Ordered logit regression coefficient
Measurement level: Correlate: metric, Happiness: ordered responses
Theoretical range: unlimited

OLRC > 0 A one unit increase in the independent variable corresponds to a higher probability of responding in the highest category of the dependent variable and to a lower probability of responding in the lowest category of the dependent variable.

OLRC< 0 A one unit increase in the independent variable corresponds to a lower probability of responding in the highest category of the dependent variable and to a higher probability of responding in the lowest category of the dependent variable.

OLRC = 0 No relationship between the independent and dependent variable..

Remarks:
The interpretation for the intermediate categories of the dependent variable are ambiguous. It is advised to use marginal effects.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl