1 Introduction
1.1 Partitioning Dynamics of Well-Being
1.2 Trait–State Conceptualization of Well-Being
1.3 Towards Latent State–Trait Analysis of the Steen Happiness Index
2 Method
2.1 Participants
Wave | |||
---|---|---|---|
T1 (N = 292) | T2 (N = 253) | T3 (N = 146) | |
Age | 26.34 ± 5.5 | 26.12 ± 5.6 | 27.7 ± 5.43 |
Gender | |||
Female | 142 (47.5) | 125 (49.2) | 75 (51.4) |
Male | 149 (50.2) | 128 (50.4) | 71 (48.6) |
Size of population center | |||
Village | 99 (33.1) | 88 (34.6) | 63 (43.2) |
<50,000 | 64 (21.4) | 51 (20.1) | 32 (21.9) |
50,000–200,000 | 57 (19.1) | 45 (17.7) | 15 (10.3) |
200,000–500,000 | 27 (9.0) | 23 (9.1) | 10 (6.8) |
>500,000 | 41 (13.7) | 40 (15.7) | 25 (17.1) |
Occupation | |||
Learning | 32 (10.7) | 26 (10.2) | 10 (6.8) |
Student | 38 (12.7) | 32 (12.6) | 16 (11.0) |
Employed | 165 (55.2) | 141 (55.0) | 90 (61.6) |
Pensioner | 2 (.7) | 3 (1.2) | 0 (0) |
Unemployed | 23 (7.7) | 25 (9.8) | 13 (8.9) |
Houskeeping | 26 (8.7) | 13 (5.1) | 16 (11.0) |
Other | 3 (1.0) | 4 (1.6) | 1 (1) |
Education | |||
Elementary | 28 (9.4) | 23 (9.1) | 11 (7.5) |
Vocational | 56 (18.7) | 39 (15.4) | 26 (17.8) |
Vocational middle | 53 (17.7) | 48 (18.9) | 26 (17.8) |
Secondary | 44 (14.7) | 45 (17.75) | 28 (19.2) |
Post secondary | 9 (3.0) | 10 (3.9) | 5 (3.4) |
Higher incomplete | 11 (3.7) | 15 (5.9) | 8 (5.5) |
Higher | 89 (29.8) | 68 (26.8) | 41 (28.1) |
Interpersonal status | |||
Married | 113 (37.8) | 94 (37.0) | 65 (44.5) |
Engaged | 10 (3.3) | 10 (3.9) | 5 (3.4) |
Cohabitation | 27 (9.0) | 19 (7.5) | 9 (6.2) |
Dating | 28 (9.4) | 25 (9.85) | 7 (4.8) |
Single | 111 (37.1) | 99 (39.0) | 57 (39.0) |
Other | 2 (.7) | 3 (1.25) | 3 (2.1) |
2.2 Measures
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
M (SD) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1. T1 SHI 1 half | – | 3.03 (.54) | ||||||||||
2. T1 SHI 2 half | .85 | – | 3.15 (.54) | |||||||||
3. T2 SHI 1 half | .53 | .48 | – | 3.01 (.58) | ||||||||
4. T2 SHI 2 half | .55 | .54 | .86 | – | 3.22 (.55) | |||||||
5. T3 SHI 1 half | .48 | .46 | .61 | .62 | – | 3.13 (.52) | ||||||
6. T3 SHI 2 half | .47 | .45 | .58 | .64 | .86 | – | 3.26 (.53) | |||||
7. T1 SWLS 1 half | .63 | .56 | .45 | .48 | .44 | .46 | – | 4.32 (1.17) | ||||
8. T1 SWLS 2 half | .51 | .44 | .38 | .40 | .45 | .42 | .83 | – | 4.01 (1.19) | |||
9. T2 SWLS 1 half | .44 | .37 | .67 | .64 | .43 | .45 | .60 | .56 | – | 4.40 (1.23) | ||
10. T2 SWLS 2 half | .34 | .25 | .57 | .55 | .36 | .37 | .56 | .58 | .83 | – | 4.31 (1.19) | |
11. T3 SWLS 1 half | .46 | .39 | .43 | .47 | .64 | .62 | .54 | .46 | .61 | .58 | – | 4.43 (1.14) |
12. T3 SWLS 2 half | .45 | .39 | .46 | .49 | .60 | .55 | .46 | .45 | .58 | .60 | .80 | 4.34 (1.06) |
2.3 Data Analysis
3 Results
Rel | OSpe | Con | Upred | Pred | |
---|---|---|---|---|---|
1. T1 SHI 1 half | .93 | .72 | .28 | – | 1 |
2. T1 SHI 2 half | .78 | .58 | .42 | – | 1 |
3. T2 SHI 1 half | .91 | .76 | .24 | .61 | .39 |
4. T2 SHI 2 half | .85 | .63 | .37 | .51 | .49 |
5. T3 SHI 1 half | .94 | .71 | .29 | .49 | .51 |
6. T3 SHI 2 half | .82 | .58 | .43 | .40 | .60 |
7. T1 SWLS 1 half | .92 | .69 | .31 | – | 1 |
8. T1 SWLS 2 half | .78 | .86 | .14 | – | 1 |
9. T2 SWLS 1 half | .86 | .71 | .29 | .50 | .50 |
10. T2 SWLS 2 half | .85 | .87 | .13 | .61 | .39 |
11. T3 SWLS 1 half | .84 | .65 | .35 | .38 | .62 |
12. T3 SWLS 2 half | .80 | .84 | .17 | .48 | .52 |