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  2. Funnel plot - Wikipedia

    en.wikipedia.org/wiki/Funnel_plot

    A funnel plot is a graph designed to check for the existence of publication bias; funnel plots are commonly used in systematic reviews and meta-analyses. In the absence of publication bias, it assumes that studies with high precision will be plotted near the average, and studies with low precision will be spread evenly on both sides of the ...

  3. Publication bias - Wikipedia

    en.wikipedia.org/wiki/Publication_bias

    Funnel plot of a meta-analysis of stereotype threat on girls' math scores showing asymmetry typical of publication bias. From Flore, P. C., & Wicherts, J. M. (2015) [17] There is extensive meta-research on publication bias in the biomedical field. Investigators following clinical trials from the submission of their protocols to ethics ...

  4. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Funnel plot : This is a useful graph designed to check the existence of publication bias in meta-analyses. Funnel plots, introduced by Light and Pillemer in 1994 [5] and discussed in detail by Egger and colleagues, [6] are useful adjuncts to meta-analyses. A funnel plot is a scatterplot of treatment

  5. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    Includes techniques for fixed and random effects analysis, fixed and mixed effects meta-regression, forest and funnel plots, tests for funnel plot asymmetry, trim-and-fill and fail-safe N analysis. Network: Explore the connections between variables organised as a network. Network Analysis allows the user to analyze the network structure.

  6. Meta-analysis - Wikipedia

    en.wikipedia.org/wiki/Meta-analysis

    The problem of publication bias is not trivial as it is suggested that 25% of meta-analyses in the psychological sciences may have suffered from publication bias. [120] However, low power of existing tests and problems with the visual appearance of the funnel plot remain an issue, and estimates of publication bias may remain lower than what ...

  7. How to Read Numbers - Wikipedia

    en.wikipedia.org/wiki/How_to_Read_Numbers

    Publication bias – which can be detected with a funnel plot – leads to overrepresentation of studies that report a correlation or large effect size. Daryl Bem's claimed evidence of effect preceding cause is used as an example.

  8. Galbraith plot - Wikipedia

    en.wikipedia.org/wiki/Galbraith_plot

    In statistics, a Galbraith plot (also known as Galbraith's radial plot or just radial plot) is one way of displaying several estimates of the same quantity that have different standard errors. [1] Example for Galbraith's radial plot. It can be used to examine heterogeneity in a meta-analysis, as an alternative or supplement to a forest plot.

  9. Researcher degrees of freedom - Wikipedia

    en.wikipedia.org/wiki/Researcher_degrees_of_freedom

    [1] [8] Like publication bias, the existence of researcher degrees of freedom has the potential to lead to an inflated degree of funnel plot asymmetry. [9] It is also a potential explanation for p-hacking, as researchers have so many degrees of freedom to draw on, especially in the social and behavioral sciences.