| Literature DB >> 35967492 |
Tali Te'eni Harari1, Yaron Sela2, Liad Bareket-Bojmel3.
Abstract
In the current study we seek to examine the difference between Generation Z and Generation X in terms of coping with a global crisis (COVID-19), specifically regarding resilience in times of crisis, personal values and attitudes during that time. Based on the theory of generations, we aimed to explore whether different generations have different levels of resilience, values and attitudes during the global crisis. Data were gathered in a cross-sectional study; 958 participants participated, divided into two age-groups: 508 participants of Generation Z (ages ranged between 18-24; 53.9% males [Age: M = 21.05, SD = 1.96]; 46.1% females [Age: M = 21.14, SD = 1.83]), and 205 participants of Generation X (ages ranged between 40-50; 54.2% males [Age: M = 45.16, SD = 3.15]; 45.8% females [Age: M = 45.23, SD = 3.01]). It was found that members of Generation Z (Gen Z) were less resilient. Also, Gen Z members had higher levels of openness to change, and self-enhancement as compared to Generation X (Gen X). In addition, Gen Z were found to be more positive in their attitudes toward flexible learning but no differences between the generations were found as for flexible work. Both generation members had the similar attitudes towards online consumption. Despite the magnitude and significance of the crisis, the main values of each generation remained unchanged in many respects, but attitudes of both generations are positive towards hybrid work and consumption.Entities:
Keywords: Attitudes; Generation X; Global crisis; Personal values; Resilience
Year: 2022 PMID: 35967492 PMCID: PMC9362676 DOI: 10.1007/s12144-022-03501-4
Source DB: PubMed Journal: Curr Psychol ISSN: 1046-1310
Comparison between Generation Z and Generation X samples in demographic characteristics
| Gen Z (18–24) | Gen X (40–50) | X2 | p | |||
|---|---|---|---|---|---|---|
| N | % | N | % | |||
| Gender | 0.01 | .94 | ||||
| • Males | 370 | 53.9 | 147 | 54.2 | ||
| • Females | 317 | 46.1 | 124 | 45.8 | ||
| Education | 178.5 | < .001 | ||||
| • Non-academic | 428 | 62.3 | 39 | 14.4 | ||
| • Academic | 259 | 37.7 | 232 | 85.6 | ||
| Employment | 170.5 | < .001 | ||||
| • Full-time | 210 | 30.6 | 207 | 76.4 | ||
| • Part-time | 149 | 21.7 | 32 | 11.8 | ||
| • Unemployed | 328 | 47.7 | 32 | 11.8 | ||
Comparison between Generation Z and Generation X samples in study variables
| Gen Z (18–24) | Gen X (40–50) | t | Cohen’s d | p | |||
|---|---|---|---|---|---|---|---|
| M | SD | M | SD | ||||
| Values | |||||||
| • Self -enhancement | 3.95 | 1.81 | 3.24 | 1.59 | 2.25 | 0.41 | .02 |
| • Openness to change | 4.83 | 1.46 | 4.22 | 1.45 | 1.92 | 0.39 | .03 |
| • Conservation | 4.57 | 1.43 | 5.06 | 1.28 | 1.89 | 0.36 | .04 |
| • Self-transcendence | 5.37 | 1.45 | 5.42 | 1.40 | 0.39 | 0.03 | .69 |
| Resilience | 4.38 | 0.82 | 4.81 | 0.71 | 3.35 | 0.56 | .01 |
| COVID-19 pandemic effects | |||||||
| • Adherence to restrictions | 3.83 | 0.88 | 4.20 | 0.70 | 5.32 | 0.46 | < .001 |
| • Functioning impairment | 2.92 | 0.95 | 2.22 | 0.89 | 2.55 | 0.76 | .01 |
| Career preferences | |||||||
| • Hybrid workplace (1-office only, 5-office & home) | 3.53 | 1.76 | 3.48 | 1.85 | 0.25 | 0.02 | .79 |
| • Hybrid job training (1-formal, 5-formal & informal) | 2.16 | 1.77 | 1.79 | 1.67 | 2.22 | 0.28 | .02 |
| • Hybrid learning (1-in-person, 5 – in-person & virtual) | 2.71 | 2.03 | 2.29 | 1.98 | 2.14 | 0.20 | .01 |
| Consumption | |||||||
| • Communication (1- physical, 3-virtual & physical) | 2.34 | 0.82 | 2.04 | 0.78 | 3.33 | 0.37 | .001 |
| • Finance (1- physical, 3-virtual & physical) | 2.10 | 0.52 | 2.07 | 0.43 | 0.73 | 0.03 | .46 |
| • Fashion (1- physical, 3-virtual & physical) | 1.93 | 0.87 | 1.92 | 0.91 | 0.09 | 0.01 | .92 |
Correlations between values and resilience with COVID-19 pandemic effects, career and consumption preferences
| Gen Z (18–24) | Gen X (40–50) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Self -enhancement | Openness to change | Conservation | Self-transcendence | Resilience | Self -enhancement | Openness to change | Conservation | Self-transcendence | Resilience | |
| Adherence to COVID-19 restrictions | .13** | .24** | .21** | .07 | .10* | .03 | .12* | .21** | .06 | .07 |
| Functioning impairment due to COVID-19 | -.04 | -.06 | -.13* | -.05 | -.03 | -.02 | -.11 | -.07 | -.10 | -.05 |
| Hybrid workplace | .03 | .06 | .08 | -.05 | -.14* | -.03 | -.03 | .01 | -.06 | -.05 |
| Hybrid job training | .01 | -.06 | .07 | -.15** | -.17** | -.06 | -.05 | -.28** | -.05 | .02 |
| Hybrid learning | -.09* | -.02 | .01 | -.10* | -.04 | .04 | .01 | .07 | .09 | .06 |
| Communication | .13** | .10* | .10* | .18** | .06 | .06 | .12* | .11 | .05 | .11 |
| Finance | .03 | .12** | .11* | .10* | .03 | .02 | .01 | .01 | -.01 | .05 |
| Fashion | .02 | .08 | .06 | .07 | -.01 | .03 | .21** | .07 | .06 | .10 |
*p < .05, ** p < .01
Regression coefficients predicting resilience
| Variable | Total sample | Gen X | Gen Z |
|---|---|---|---|
| Self Enhancement | .045 | .075 | -.062 |
| Self Transcendence | .048 | .084 | -.047 |
| Conservation | .039 | .036 | .072 |
| Openness to change | .315*** | .293*** | .400*** |
| Adherence to COVID-19 restrictions | .071 | .060 | .063 |
| Functioning impairment due to COVID-19 | -.090* | -.065 | -.152** |
| Age group (Gen X) | .121** | - | - |
| Explained Variance | 17.6%*** | 16.6%*** | 15.1%*** |
*p < .05, **p < .01