Wilder Research, 2012 — Glossary of commonly-used terms in sampling, data analysis, and interpretation.
University of Wisconsin – Extension, 2003 — Outlines a basic approach for analyzing and interpreting narrative data – often referred to as content analysis. Assumes a basic level of knowledge about data analysis.
International Monetary Fund, 2012 — Identifies quality-related features of governance of statistical systems, statistical processes, and statistical products. The DQAF provides a structure for assessing existing practices against best practices, including internationally accepted methodologies. Assumes a basic knowledge of the topic.
National Science Foundation, 2002 — Basic guide to evaluation for those who want to learn about what evaluation can do and how to do an evaluation. The report is divided into four major sections: evaluation and types of evaluation, the steps in doing an evaluation, an overview of quantitative and qualitative data collection methods, and strategies that address culturally responsive evaluation.
U.S. Environmental Protection Agency, 2000 — Describes seven steps to ensure proper scrutiny of secondary data. Assumes a basic knowledge of the topic.
W.K. Kellogg Foundation, 1998 — This often-cited resource provides a framework for thinking about evaluation and outlines a blueprint for designing and conducting evaluations, either independently or with the support of an external evaluator/consultant.
U.S. General Accounting Office, 1993 — This in-depth paper provides rationales for determining when questionnaires should be used to accomplish your objectives. It also describes how to plan, design, and use a questionnaire in conducting a population survey.
Westat, Inc., 1993 — Describes the "how and why" of program evaluation and outlines the steps involved, working from the premise that many useful evaluations can be conducted by program staff who may not have formal training in evaluation.
American Evaluation Association, No Date — Website that features an extensive number of links to Internet resources in nearly 20 categories including evaluation blogs, discussion lists, data analysis software, and scientifically based evaluation methods.
Minnesota Department of Health, No Date — Explores how to understand and present data, including questions to ask about the data, and important considerations when reviewing data.