DTT implementation accuracy increases by 1.33 with each additional observation during the intervention phase¶

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? A statistically significant positive time trend during intervention (γ̂200 = 1.33, p < .001) indicates fidelity rises with each additional observation. → Joelle Fingerhut 2022

Evidence¶

Joelle Fingerhut 2022¶

Joelle Fingerhut, & Mariola Moeyaert. (2022). Training Individuals to Implement Discrete Trials with Fidelity: A Meta-Analysis. Focus on Autism and Other Developmental Disabilities, 37(4), 239–250. https://doi.org/10.1177/10883576221081076

q2 · i? · quant-synthesis · r3

Model 4 (no moderators) of the HLM meta-analysis across all 46 SCED studies, estimating the within-intervention time trend. No standardized effect size is printed.

"An overall positive trend was detected during the intervention phase, γ̂200 = 1.33, t(3693) = 5.26, p < .001, indicating that with each additional observation, participants' DTT implementation accuracy increased by 1.33."

Discussion¶

Related Claims¶

• In a meta-analysis of single-case studies, participants trained with complete behavioral skills training had significantly higher DTT implementation fidelity than those trained with only one, two, or three BST components — related
• DTT implementation fidelity declines slightly after training ends, with a statistically significant difference between intervention and maintenance slopes — related
• DTT implementation fidelity declines slightly after training ends, though the decline may reflect outliers — related
• Behavioral skills training and other trainings raise DTT implementation fidelity from a low baseline of 40.61% to over 90% accuracy by the end of training — related