Bence - Peacor - Osenberg NSF MAA Repository
Creators: name: Bence, James
name: Osenberg, Craig W.
name: Peacor, Scott D.
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 310399
subject: Ecology not elsewhere classified

description: Base repository for code and data associated with NSF funded projects DEB-1655394 and DEB-1655426 evaluating meta-analysis methods. Some data/scripts associated with this project were included in repositories associated with published papers and those data/scripts are not replicated here.This project consisted of a number of subprojects, which originally had files in separate folders and subfolders. The basic approach to putting all these files into one directory on figshare was to prepend the name of the subfolder (within project) and then the name of the project folder to the file names. To use these files when referenced by other files the names of the files will need to be changed back (by removing prepended folder names). In one case (because it consisted of mainly binary files) a subproject was loaded as a zip file with its folder structure intact. In this case there is a separate rtf readme file. Both the zip and readme for that project have the subproject name (Litrev) as the first part of the file name. Including Litrev, the subprojects with files included here are:Litrev: A literature review intended to contrast the practice of meta analysis during 1991-2000 with more recent (2019-2021) practice. Included is information on procedures, identified studies, and summaries from those studies.Weighting: Examination of how weighting influences the results of meta-analysis with a focus on efficiency. Included is simulation code R scripts (and some summarized simulation results).Resampling: Application of a resampling approach to published meta-analyses in ecology illustrating a general pattern of finding too many significant results. Included are original data from source studies, and R scripts replicating original analyses, and adding new treatments (either nonsense variables or randomly generated) and code (R scripts for resampling these studies and repeating analyses to test for effects of new variables.Non-independence: Simulation study evaluating alternative approaches for accounting for non-independence of groups or clusters of studies in meta-analysis. Published as: C. Song, J.R. Bence, S. Peacor, and C. Osenberg. 2020. An assessment of statistical methods for non-independent data in ecological meta-analyses. Ecology 101(12): e03184. doi: 10.1002/ecy.3184. In the process of responding to comment, an error in script creating a figure was noted that is fixed in files included here (representing a small change in code from the code repository associated with this publication). See also: C. Song, S. D. Peacor, C. W. Osenberg, and J. R. Bence. 2022. An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment. Ecology 103(1):e03578. 10.1002/ecy.3578 .Small_sample: Essentially is a repeat of the Non-independence study but with smaller sample sizes.Uncertainwt: This was a project using simulations to evaluate the consequences of uncertain weights by contrasting different within study variance estimates with one another and results that could be obtained if the true within study variances were known. Included are R scripts.The DOI associated with this figshare repo was included in the final report to NSF on the project.Be aware that the linked material for this repo was last updated and fixed at its current state in 2023 but authors continue to work on some subprojects. If you intend to use or comment on these materials it is recommend that you reach out to the authors or otherwise do a literature search to ascertain whether new versions of code/data are available.