Table 2.
Overview of results of the autoregressive latent variable model.
| Predictorsa | Bedtime news engagement (T2) |
COVID-19 information FOMO (T2) |
Daytime tiredness (T2) |
|||
|---|---|---|---|---|---|---|
| b (SE), β | p | b (SE), β | p | b (SE), β | p | |
| Bedtime news engagement (T1) | .35 (.05), .45 | < .001 | .08 (.03), .13 | .016 | -.02 (.05), −.02 | .712 |
| COVID-19 information FOMO (T1) | .15 (.07), .12 | .046 | .51 (.06), .54 | < .001 | .18 (.09), .10 | .043 |
| Daytime tiredness (T1) | .02 (.04), .02 | .716 | .03 (.03), .05 | .405 | .66 (.06), .66 | < .001 |
| Overall social media use (T1) | .15 (.06), .14 | .009 | .07 (.04), .09 | .097 | .03 (.07), .02 | .705 |
| Perceived Stress (T1) | -.001 (.06), −.002 | .981 | .01 (.05), .02 | .776 | -.04 (.08), −.04 | .556 |
| Age | .002 (.004), .03 | .610 | .001 (.003), .02 | .726 | -.01 (.01), -.09 | .038 |
| Gender | .002 (.10), .001 | .982 | -.11 (.07), −.07 | .121 | .10 (.12), .03 | .389 |
| Education: low vs. moderate | -.13 (.13), −.06 | .331 | .05 (.10), .03 | .600 | .19 (.16), .06 | .223 |
| Education: low vs. high | -.02 (.14), −.01 | .886 | .03 (.11), .02 | .745 | -.07 (.17), −.02 | .679 |
| Sample type | -.53 (.11), -.24 | < .001 | .01 (.08), .004 | .936 | -.24 (.13), −.08 | .072 |
Notes: T1 = Measurement time 1 (i.e., April 2020), T2 = Measurement time 2 (i.e., May 2020). Significant findings are in bold. Sample types were coded: 0 = polling quota sample data, 1 = university quota-sample data. Self-identified gender are coded: 0 = male, 1 = female).
a
NT1 = 731, NT2 = 416.