Table 9.
The basic descriptive statistics and reliability testing for the Secondary Stressors Scale across countries with more than 200 participants.
| Country | N Scale | N for Reliability | Mean | SD | Min | Max | Alpha |
|---|---|---|---|---|---|---|---|
| Russian Federation | 1304 | 1112 | 1.60 | 1.01 | 0.0 | 4.0 | 0.699 |
| Japan | 1588 | 1463 | 1.53 | 1.02 | 0.0 | 4.0 | 0.764 |
| Finland | 730 | 622 | 0.84 | 0.75 | 0.0 | 4.0 | 0.662 |
| Switzerland | 389 | 338 | 0.81 | 0.76 | 0.0 | 4.0 | 0.692 |
| Spain | 400 | 379 | 1.47 | 0.91 | 0.0 | 4.0 | 0.706 |
| Colombia | 429 | 366 | 1.73 | 1.02 | 0.0 | 4.0 | 0.725 |
| Portugal | 221 | 182 | 1.42 | 1.00 | 0.0 | 4.0 | 0.738 |
| Brazil | 310 | 222 | 1.68 | 1.02 | 0.0 | 4.0 | 0.735 |
| Honduras | 169 | 151 | 2.01 | 0.95 | 0.0 | 4.0 | 0.666 |
| Ireland | 239 | 210 | 1.40 | 0.89 | 0.0 | 4.0 | 0.715 |
| Norway | 295 | 278 | 0.93 | 0.79 | 0.0 | 4.0 | 0.638 |
| Czech Republic | 268 | 216 | 1.20 | 0.90 | 0.0 | 4.0 | 0.716 |
| Slovakia | 186 | 164 | 1.77 | 0.93 | 0.0 | 4.0 | 0.630 |
| Italy | 202 | 171 | 1.42 | 0.94 | 0.0 | 4.0 | 0.689 |
| Bulgaria | 207 | 162 | 1.15 | 0.95 | 0.0 | 4.0 | 0.712 |
| Ecuador | 210 | 191 | 2.00 | 1.04 | 0.0 | 4.0 | 0.734 |
| Uruguay | 254 | 224 | 1.32 | 0.89 | 0.0 | 4.0 | 0.659 |
| Guatemala | 214 | 186 | 1.55 | 0.86 | 0.0 | 3.4 | 0.556 |
| Costa Rica | 218 | 200 | 1.75 | 1.02 | 0.0 | 4.0 | 0.732 |
| Kyrgyzstan | 162 | 129 | 1.88 | 0.99 | 0.0 | 4.0 | 0.630 |
| Ukraine | 213 | 189 | 1.10 | 0.79 | 0.0 | 3.3 | 0.540 |
| Estonia | 219 | 194 | 0.99 | 0.81 | 0.0 | 4.0 | 0.724 |
| Malaysia | 66 | 59 | 2.03 | 1.10 | 0.1 | 4.0 | 0.805 |
| Taiwan | 175 | 159 | 1.46 | 0.81 | 0.0 | 4.0 | 0.627 |
| Turkey | 43 | 40 | 2.00 | 0.93 | 0.4 | 4.0 | 0.658 |
Abbreviations: N Scale = number of participants who answered questions on the scale. N for reliability = number of subjects who selected a response on the Likert scale for every item (not “Does not apply to me). Mean = scale mean. SD = scale standard deviation. Min = minimum value of the mean scale score for the sample. Max = maximum value of the average scale score for the sample. Alpha = Cronbach’s alpha.