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Data Analysis and Evaluation of McGrawHills Everyday Mathematics Program and its Impact on Step Scores in Michigan Schools David Marshall, Ph.D., Auburn University Daniel Henry, Ph.D., Director, Auburn
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Data analysis and evaluation is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Anyone responsible for analyzing and evaluating data within an organization is required to file data analysis and evaluation reports.
Data analysis and evaluation reports are typically filled out by analyzing data sets, coding algorithms, and documenting findings in a structured format.
The purpose of data analysis and evaluation is to uncover insights, identify trends, and make informed decisions based on data-driven evidence.
Data analysis and evaluation reports must include data sources, methodology, results, and recommendations based on the analysis.
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