### Correlational finding on Happiness and Response scaleSubject code: I06ab03

 Study VanBeuningen et al. (2014): study NL 2013 Title Measuring Well-Being. An Analysis of Different Response Scales. Source Discussion Paper 2014/03,, Statistics Netherlands, 2014, The Hague, The Netherlands Public 18+ aged, general public, Netherlands,2013 Sample Probability simple random sample Non-Response Respondents N = 970

 Correlate Author's label Classification of the 1-10 scale for happiness Our classification Response scale, code I06ab03 Operationalization ```Same question on happiness rated on two different response scales A 5-step verbal scale (O-HL-u-sq-v-5-a) - very happy - happy - neither happy nor unhappy - not that happy - unhappy B 10 completely happy : 1 completely unhappy B serves as correlate in this analysis ``` Observed distribution M = M = SD =

 Observed Relation with Happiness HappinessMeasure Statistics Elaboration/Remarks O-HP-u-sq-n-10-b tc=+.49 p < .00 ```5-step verbal by 10-step numerical scale: 1 to 4 Unhappy and not that happy 5,6 Neither happy not unhappy 7,8 Happy 9,10 Very happy ```

Appendix 1: Happiness measures used
 Code Full Text O-HP-u-sq-n-10-b Selfreport on single question:To what extent do you consider yourself as a happy person?1 completely unhappy2345678910 completely happy

Appendix 2: Statistics used
 Symbol Explanation tc KENDALL'S TAU-C (Also referred to as Stuart's tau-c)Type: test statisticMeasurement level: Correlate: ordinal, Happiness: ordinalRange: [-1; +1]Meaning:tc = 0 « no rank correlation tc = 1 « perfect rank correlation, where high values of the correlate correspondwith high happiness ratings.tc = -1 « perfect rank correlation, where high values of the correlate correspondwith low happiness ratings.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl