A discrete time trend model fit the reading fluency data significantly better than a linear time trend model¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? A likelihood ratio test showed the discrete time trend model fit significantly better than the linear time trend model. → Kraus 2024

Evidence¶

Kraus 2024¶

Kraus, E. B., Wild, J., Schilcher, A., & Hilbert, S. (2024). Exploring the Short-Term and Long-Term Effects of the COVID-19 School Closures on Reading Fluency in Southern Germany: A Longitudinal Causal Effects Analysis. https://osf.io/bu2ad/

q3 · i? · causal · r2

Likelihood ratio model comparison on the longitudinal sample after irregularities were observed between end of grade three and end of grade four; Table 3 reports Chisq = 186.08, Df = 5, p < .001. The quote names the "significant χ2-test" and lower AIC and BIC; no effect size was printed.

"The results displayed in Table 3 show that the discrete time model fitted the data significantly better, indicated by a significant χ2-test and several fit indices, such as lower AIC and BIC for the discrete time trend model."

Discussion¶

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