| 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 |
| 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 | ||
| Happiness Measure | 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 |
| 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 unhappy 2 3 4 5 6 7 8 9 10 completely happy |
| Symbol | Explanation |
| tc | KENDALL'S TAU-C (Also referred to as Stuart's tau-c) Type: test statistic Measurement level: Correlate: ordinal, Happiness: ordinal Range: [-1; +1] Meaning: tc = 0 « no rank correlation tc = 1 « perfect rank correlation, where high values of the correlate correspond with high happiness ratings. tc = -1 « perfect rank correlation, where high values of the correlate correspond with low happiness ratings. |