What Predicts Within-Participant Replication of Relative Efficiency in Single-Case Comparisons? A Logistic Regression Analysis
Single-case comparative studies could help identify efficient instructional procedures for individuals with disabilities. However, previous literature reported inconsistent efficiency results if multiple comparisons were conducted, indicating that within-participant replication was uncommon. In this...
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| Veröffentlicht in: | Remedial and Special Education 2024-04, Vol.45 (2), p.112-124 |
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| container_title | Remedial and Special Education |
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| creator | Wang, Lanqi Yuan, Chengan Alsharif, Shahad Zhang, Qing Archer Du, Yang |
| description | Single-case comparative studies could help identify efficient instructional procedures for individuals with disabilities. However, previous literature reported inconsistent efficiency results if multiple comparisons were conducted, indicating that within-participant replication was uncommon. In this review, we examined single-case comparative studies with multiple within-participant comparisons and identified the arrangements that may be related to within-participant replication. We performed a multilevel mixed-effects logistic regression analysis to assess the association between different arrangements and consistent efficiency results between the comparisons. We found that some arrangements, such as random assignment of targets and a combination of random assignment and equating procedure, appear more predictive of within-participant replication. |
| doi_str_mv | 10.1177/07419325231190808 |
| format | Article |
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| ispartof | Remedial and Special Education, 2024-04, Vol.45 (2), p.112-124 |
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| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List; Alma/SFX Local Collection |
| subjects | Comparative studies People with disabilities Regression analysis Special education Teaching methods |
| title | What Predicts Within-Participant Replication of Relative Efficiency in Single-Case Comparisons? A Logistic Regression Analysis |
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