Claims

DTT implementation fidelity declines slightly after training ends, though the decline may reflect outliers

Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesis r2 · q2–q3
Currency · newest study 2022 · checked against its sources 2026-10-31 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? The change in rate between the intervention and maintenance slopes was −4.39, a statistically significant difference, indicating a slight decline in fidelity after training. → Joelle Fingerhut and Mariola Moeyaert 2022 q2 i? When accounting for outliers (n = 14), no difference in implementation fidelity during maintenance phases appeared. → Joelle Fingerhut and Mariola Moeyaert 2022 (2)

Evidence

Joelle Fingerhut and Mariola Moeyaert 2022

Joelle Fingerhut and Mariola Moeyaert. (2022). Training Individuals to Implement Discrete Trials with Fidelity: A Meta-Analysis. Focus on Autism and Other Developmental Disabilities. https://doi.org/10.1177/10883576221081076

q3 · i? · quant-synthesis · r2

HLM analysis (Model 1) of maintenance phases, which occurred 4 to 224 days after the last intervention session among 51 (23%) participants. The article reports "−4.39, γ̂200 = −4.39, t(3399) = −2.86, p < .025", a significant slope difference.

"The change in rate between the slope of the intervention phase and the slope of the maintenance phase was −4.39, γ̂200 = −4.39, t(3399) = −2.86, p < .025."

Joelle Fingerhut and Mariola Moeyaert 2022 (2)

Joelle Fingerhut and Mariola Moeyaert. (2022). Training Individuals to Implement Discrete Trials with Fidelity: A Meta-Analysis. Focus on Autism and Other Developmental Disabilities. https://doi.org/10.1177/10883576221081076

q2 · i? · quant-synthesis · r2

The authors' outlier analysis, using the interquartile range method they describe, found no apparent maintenance difference once 14 outliers were excluded; this is an author-reported descriptive result.

"However, when accounting for outliers (n = 14), there does not appear to be a difference in DTT implementation fidelity during maintenance phases (e.g., 30 days later)."

Discussion

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