2001
DOI: 10.1207/s15327035ex0904_4
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Characteristics of Meta-Analyses Reported in Mental Retardation, Learning Disabilities, and Emotional and Behavioral Disorders

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Cited by 17 publications
(14 citation statements)
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“…Generally, therefore, while providing a great deal of information for judging face validity, the information is incomplete and unevenly reported. This result is similar to findings with metaanalyses in LD (Mostert, 1996) and in a sampling of meta-analytic face validity in LD, E/BD, and MR (Mostert, 2001), as noted in Table 4. Overall mean rank of domain criteria by primary study (see Table 3) reveals the overall proportion of criteria provided across the domains for each study.…”
Section: Interpreting Results and Reporting The Integrative Reviewsupporting
confidence: 89%
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“…Generally, therefore, while providing a great deal of information for judging face validity, the information is incomplete and unevenly reported. This result is similar to findings with metaanalyses in LD (Mostert, 1996) and in a sampling of meta-analytic face validity in LD, E/BD, and MR (Mostert, 2001), as noted in Table 4. Overall mean rank of domain criteria by primary study (see Table 3) reveals the overall proportion of criteria provided across the domains for each study.…”
Section: Interpreting Results and Reporting The Integrative Reviewsupporting
confidence: 89%
“…4. How do these results compare with previous work in this area with published metaanalyses in learning disabilities (LD; Mostert, 1996), mental retardation (MR; Mostert, 2003), and a comparative but smaller set of LD, MR, and BD meta-analyses (Mostert, 2001)?…”
Section: Selection Of Review Questionsmentioning
confidence: 77%
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“…This may be due to the expertise needed to perform the requisite statistical procedures. Although beyond the scope of this review, future research should extend previous work regarding the quality of meta-analyses (e.g., Mostert, 2001) and examine meta-analyses involving specific forms of research (e.g., single-case). Further evaluation of the standards of analysis in single-case design, for example, could contribute to debate regarding the statistical interpretation of graphs (e.g., Maggin, Lane, & Pustejovsky, 2017).…”
Section: Directions For Future Researchmentioning
confidence: 99%