2021
DOI: 10.3390/educsci11020076
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Assessing Intervention Effects in the Presence of Missing Scores

Abstract: Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the highest rate (24%) found in multiple baseline/probe designs. Missing scores cause difficulties in data analysis. And inappropriate treatments of missing scores lead t… Show more

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Cited by 16 publications
(46 citation statements)
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References 62 publications
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“…Mean amount of missing data across participants was 18.5% (range 2.8–45.9%). We performed all analyses with the data available bearing in mind the limitations of this approach (Peng and Chen, 2021 ). Only one participant failed to respond at posttest and follow-up and another one failed to respond at follow-up.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Mean amount of missing data across participants was 18.5% (range 2.8–45.9%). We performed all analyses with the data available bearing in mind the limitations of this approach (Peng and Chen, 2021 ). Only one participant failed to respond at posttest and follow-up and another one failed to respond at follow-up.…”
Section: Methodsmentioning
confidence: 99%
“…Mean amount of missing data across participants was 18.5% (range 2.8-45.9%). We performed all analyses with the data available bearing in mind the limitations of this approach (Peng and Chen, 2021).…”
Section: Missing Datamentioning
confidence: 99%
“…A linear interpolation method was applied to infer missing values. The demographic and clinical features did not differ between youth with complete (N = 51) versus partially imputed (N = 10) data [ 55 ].…”
Section: Methodsmentioning
confidence: 99%
“…Noncompleters did not differ significantly from completers on child diagnosis or a number of demographic variables, though there was a difference by intervention condition. Peng and Chen (2021) depicted 20% attrition as a common benchmark for “studies related to youth, school‐based programs, and clinical trials” (p. 1), which would place the rate in this study within the normal range, even if not desired. At the item level, given that someone participated at all, about 8% of data were missing.…”
Section: Discussionmentioning
confidence: 99%