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Creating Effective Interrupted Time Series Graphs: Review and Recommendations
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Turner, Simon L.; Karahalios, Amalia; Forbes, Andrew B.; Taljaard, Monica; Grimshaw, Jeremy M.; Korevaar, Elizabeth; Cheng, Allen C.; Bero, Lisa; McKenzie, Joanne E. – Research Synthesis Methods, 2021
Introduction: Interrupted Time Series (ITS) studies may be used to assess the impact of an interruption, such as an intervention or exposure. The data from such studies are particularly amenable to visual display and, when clearly depicted, can readily show the short- and long-term impact of an interruption. Further, well-constructed graphs allow…
Descriptors: Graphs, Data Analysis, Visualization, Meta Analysis
Graphical Enhancements to Summary Receiver Operating Characteristic Plots to Facilitate the Analysis and Reporting of Meta-Analysis of Diagnostic Test Accuracy Data
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Patel, Amit; Cooper, Nicola; Freeman, Suzanne; Sutton, Alex – Research Synthesis Methods, 2021
Diagnostic test accuracy (DTA) systematic reviews are conducted to summarize evidence on the accuracy of a diagnostic test including a critical evaluation of the primary studies. Where appropriate, the evidence is meta-analyzed to obtain pooled estimates of effectiveness. In this study, we reviewed and critiqued three DTA guidance documents with…
Descriptors: Diagnostic Tests, Accuracy, Meta Analysis, Graphs
Effect Estimates Can Be Accurately Calculated with Data Digitally Extracted from Interrupted Time Series Graphs
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Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
Communicating Clearinghouse Data: A Statistical Cognition Experiment on Education Practitioners' Understanding of Forest Plots
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Katie Fitzgerald; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2021
Background: As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Websites and clearinghouses such as the "What Works Clearinghouse" (WWC), "Evidence for ESSA," "Blueprints for Healthy Youth Development,"…
Descriptors: Effect Size, Graphs, Meta Analysis, Data Collection
Another Look at the Glass and Smith Study on Class Size
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Phelps, James L. – Educational Considerations, 2011
One of the most influential studies affecting educational policy is Glass and Smith's 1978 study, "Meta-Analysis of Research on the Relationship of Class-Size and Achievement." Since its publication, educational policymakers have referenced it frequently as the justification for reducing class size. While teachers and the public had long believed…
Descriptors: Class Size, Educational Research, Meta Analysis, Academic Achievement
Diagnostic Techniques in Research Synthesis.
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Ludlow, Larry H. – 1984
One purpose for combining research studies is to estimate a population treatment effect. The internal validity of a model for how effect size estimates should be computed and combined will hinge upon the homogeneity of the effect size variation. Effect size variation may be assessed in the form of a summary fit statistic, and a direct…
Descriptors: Data Analysis, Effect Size, Estimation (Mathematics), Graphs