A Foundational Study of Fire Debris Interpretation Using Quantitative Measures of Chromatographic Features in Gasoline and the Use of Graphical Display to Demonstrate Data Sufficiency

1988 ◽

Vol 102 ◽

pp. 107-110

Author(s):

A. Burgess ◽

H.E. Mason ◽

J.A. Tully

Keyword(s):

Significant Loss ◽

Impact Excitation ◽

Rate Coefficients ◽

Electron Impact Excitation ◽

Graphical Display ◽

Practical Procedure ◽

Positive Ions ◽

Allowed Transition ◽

Computational Errors ◽

Existing Data

AbstractA new way of critically assessing and compacting data for electron impact excitation of positive ions is proposed. This method allows one (i) to detect possible printing and computational errors in the published tables, (ii) to interpolate and extrapolate the existing data as a function of energy or temperature, and (iii) to simplify considerably the storage and transfer of data without significant loss of information. Theoretical or experimental collision strengths Ω(E) are scaled and then plotted as functions of the colliding electron energy, the entire range of which is conveniently mapped onto the interval (0,1). For a given transition the scaled Ω can be accurately represented - usually to within a fraction of a percent - by a 5 point least squares spline. Further details are given in (2). Similar techniques enable thermally averaged collision strengths upsilon (T) to be obtained at arbitrary temperatures in the interval 0 < T < ∞. Application of the method is possible by means of an interactive program with graphical display (2). To illustrate this practical procedure we use the program to treat Ω for the optically allowed transition 2s → 2p in ArXVI.

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Power-Enhanced Funnel Plots for Meta-Analysis

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000392 ◽

2020 ◽

Vol 228 (1) ◽

pp. 43-49 ◽

Cited By ~ 1

Author(s):

Michael Kossmeier ◽

Ulrich S. Tran ◽

Martin Voracek

Keyword(s):

Statistical Power ◽

Meta Analysis ◽

Relevant Information ◽

Selective Reporting ◽

Graphical Display ◽

Funnel Plot ◽

Evidential Value ◽

Graphical Displays ◽

Funnel Plots ◽

Meta Analyses

Abstract. Currently, dedicated graphical displays to depict study-level statistical power in the context of meta-analysis are unavailable. Here, we introduce the sunset (power-enhanced) funnel plot to visualize this relevant information for assessing the credibility, or evidential value, of a set of studies. The sunset funnel plot highlights the statistical power of primary studies to detect an underlying true effect of interest in the well-known funnel display with color-coded power regions and a second power axis. This graphical display allows meta-analysts to incorporate power considerations into classic funnel plot assessments of small-study effects. Nominally significant, but low-powered, studies might be seen as less credible and as more likely being affected by selective reporting. We exemplify the application of the sunset funnel plot with two published meta-analyses from medicine and psychology. Software to create this variation of the funnel plot is provided via a tailored R function. In conclusion, the sunset (power-enhanced) funnel plot is a novel and useful graphical display to critically examine and to present study-level power in the context of meta-analysis.

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