Guideline: When analyzing the collected data do so within the context of the evaluation questions. Depending on the scope, complexity of the data analysis and available in-house expertise it may be necessary to acquire external statistical assistance to aid with the analysis. External assistance may be particularly useful if the program being evaluated stirs emotions among the stakeholders.
This form presents a short set of questions to answer prior to proceeding with the analysis of data. It is also good to consider any variances prior to preparing a report of findings.
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This checklist from the Learning Technology Dissemination Initiative's Evaluation Cookbook contains a series of suggested questions evaluators should ask themselves before they start analyzing data.
The No Child Left Behind Act places an emphasis on student academic achievement data and using it as a means to measure improvement over time. The document offers guidance on techniques to use in analyzing data.
Developed by the American Statistical Association, the document's purpose is to encourage ethical and effective statistical work in morally conducive working environments.
The W. K. Kellogg Foundation's Evaluation Toolkit offers four tips avoid common pitfalls when analyzing quantitative and qualitative data.
This resource describes in "plain English, some basic concepts in statistics that every writer should know."
Taken from the National Science Foundation's User-Friendly Handbook for Mixed Method Evaluations the document summarizes concepts to employ in analyzing qualitative data and offers practical advice for conducting such analysis.
The material provided is from the Empirical Research Methods course taught by Gary Klass, Department of Politics and Government, Illinois State University. The purpose of the course is to teach students the principles of research design, data collection, data analysis, and data presentation employed in empirical social science research. The content provided addresses constructing good charts and graphs.
This thirteen page document is one of eighteen lectures based on the book Educational Research Quantitative, Qualitative, and Mixed Approaches. The lectures were written by the author as a supplement to the text. This lecture describes various methods of analyzing qualitative data. It includes instructions for coding data including several examples.
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