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Accepted for publication in the Journal of the American Society for Information Science and Technology A multilevel-statistical reformulation of citation-based university rankings: The Leiden Ranking
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What is multilevel statistical reformulation of?
Multilevel statistical reformulation is a method of restructuring statistical data to analyze relationships between variables at different levels of analysis.
Who is required to file multilevel statistical reformulation of?
Researchers and statisticians who are conducting studies that involve multiple levels of analysis are required to file multilevel statistical reformulation.
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To fill out multilevel statistical reformulation, researchers need to identify the variables at each level, analyze the data at each level, and then restructure the data to investigate relationships between variables at different levels.
What is the purpose of multilevel statistical reformulation of?
The purpose of multilevel statistical reformulation is to gain a better understanding of how variables at different levels of analysis interact with each other and to account for the hierarchical structure of the data being analyzed.
What information must be reported on multilevel statistical reformulation of?
The information reported on multilevel statistical reformulation includes the variables at each level, the statistical analysis methods used, and the results of the analysis at each level.
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