<p>Meta-analysis offers ecologists a powerful tool for knowledge synthesis. Albeit a form of review, it also shares many similarities with primary empirical research. Consequently, critical reading of meta-analyses incorporates criteria from both sets of approaches particularly because ecology is a discipline that embraces heterogeneity and broad methodologies. The most important issues in critically assessing a meta-analysis initially include transparency, replicability, and clear statement of purpose by the authors. Specific to ecology more so than other disciplines, tests of the same hypothesis are generally conducted at different study sites, have variable ecological contexts (i.e., seasonality), and use very different methods. Clear re...
Meta-analysis functions to increase the precision of empirical estimates and to broaden the scope of...
The interests of ecologists and evolutionary biologists are very diverse, as are the organisms and s...
Meta-analysis is a quantitative synthetic research method that statistically integrates results from...
<p>Meta-analysis offers ecologists a powerful tool for knowledge synthesis. Albeit a form of review,...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117016/1/ecy19998041103.pd
. Meta-analysis is a powerful and informative tool for basic and applied research. It provides a sta...
Quantitatively summarizing results from a collection of primary studies with meta-analysis can help ...
This chapter discusses statistical approaches to the meta-analysis of primary data in ecology and ev...
Ecology increasingly relies on data synthesis and integration. We fear, however, that the academic c...
<p>Here is a brief summary of the elements one might want to consider in reading ecological meta-ana...
We evaluate the goals of meta-analysis, critique its recent application in ecology, and highlight an...
Ecology increasingly relies on data synthesis and integra-tion [1,2]. We fear, however, that the aca...
Meta-analysis is increasingly used to synthesise major patterns in the large literatures within ecol...
This chapter provides an introduction and overview of the three statistical components of the meta-a...
Meta-analysis is increasingly used in ecology and evolutionary biology. Yet, in these fields this te...
Meta-analysis functions to increase the precision of empirical estimates and to broaden the scope of...
The interests of ecologists and evolutionary biologists are very diverse, as are the organisms and s...
Meta-analysis is a quantitative synthetic research method that statistically integrates results from...
<p>Meta-analysis offers ecologists a powerful tool for knowledge synthesis. Albeit a form of review,...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117016/1/ecy19998041103.pd
. Meta-analysis is a powerful and informative tool for basic and applied research. It provides a sta...
Quantitatively summarizing results from a collection of primary studies with meta-analysis can help ...
This chapter discusses statistical approaches to the meta-analysis of primary data in ecology and ev...
Ecology increasingly relies on data synthesis and integration. We fear, however, that the academic c...
<p>Here is a brief summary of the elements one might want to consider in reading ecological meta-ana...
We evaluate the goals of meta-analysis, critique its recent application in ecology, and highlight an...
Ecology increasingly relies on data synthesis and integra-tion [1,2]. We fear, however, that the aca...
Meta-analysis is increasingly used to synthesise major patterns in the large literatures within ecol...
This chapter provides an introduction and overview of the three statistical components of the meta-a...
Meta-analysis is increasingly used in ecology and evolutionary biology. Yet, in these fields this te...
Meta-analysis functions to increase the precision of empirical estimates and to broaden the scope of...
The interests of ecologists and evolutionary biologists are very diverse, as are the organisms and s...
Meta-analysis is a quantitative synthetic research method that statistically integrates results from...