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raziskovanje v vzgoji in izobraževanju: izobraževanje učiteljic in učiteljev ...
of mental well-being and COVID-19 anxiety over four time-points (with-
in-person model) during the COVID-19 pandemic.

Table 28: Unconditional LGC model parameters and fit indices of mental well-being
and COVID-19 anxiety over four time-points

Intercept Slope Model fit
r
M Var M Var CFI RMSEA SRMR
Mental 0.124
well-be- 3.740*** 0.247*** 0.020 0.017 0.005 0.967 [0.000- 0.056
ing 0.264]
CO- - 0.000
VID-19 2.575*** 0.794*** -0.153 0.063 1.000 [0.000- 0.056
anxiety 0.268*** 0.155]
Notes: *** p ≤ 0.001

Table 28 shows that both unconditional LGC models have a good fit
with the data, with the exception of RMSEA for mental well-being. The in-
consistency between CFI and RMSEA is well documented and the reasons
for it are still being investigated, however, as suggested by Lai and Green
(2016) an alternative index can be used as a combination of both, ɣ = RM-
SEA - (1-CFI), and if ɣ is larger than 0, as in our case, CFI is a better ap-
proximation of the fit. In both models, the means and the variances of the
intercept (the average initial levels and the inter-individual differences in
the initial levels) were statistically significant. The average intra-individ-
ual change (the mean of the slope) was statistically significant for COV-
ID-19 anxiety, its negative value indicating a significant rate of decrease
in the measured concept over time. There was a slight increase in men-
tal well-being over time, but this was statistically insignificant. We found
no statistically significant inter-individual differences in intra-individual
change over time (variances of the slope) in either model. A negative covar-
iance (above the significance boundary, p = .10) between the intercept and
slope (describing the relationship between the starting point and the rate of
change), connected to the negative slope in the COVID-19 anxiety model,
shows that higher initial levels were related to a steeper decline in the out-
come over time.

3.2.2 Conditional LGC models
We present the findings of the conditional LGC models, separately for men-
tal well-being and COVID-19 anxiety, with two covariates (emotional self-
-efficacy, practicing mindfulness), included as time-invariant predictors of

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