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Evaluation Implementation:

Data Entry and Analysis

Glossary of Data Analysis Terms

Wilder Research, 2012 — Glossary of commonly-used terms in sampling, data analysis, and interpretation.

Making sense of your data

Wilder Research, 2010 — PowerPoint presentation about organizing, analyzing, and interpreting your data, including an interpretation activity. From Wilder Research program evaluation workshop series held on November 12, 2010 at Wilder Center.

Making sense of your data

Wilder Research, 2010 — Tip sheet about organizing, analyzing, and interpreting your data.

Analyzing and interpreting data

Wilder Research, 2009 — Introduction to and tips for analyzing quantitative and qualitative data and drawing conclusions.

Data entry and analysis guide

Wilder Research, 2009 — Describes steps to help make data entry more efficient, including step-by-step data entry instructions, and analyzing data, with a focus on quantitative data analysis.

Organizing and analyzing your data: Tips for conducting program evaluation

Wilder Research, 2008 — Provides basic options for organizing and analyzing quantitative and qualitative data.

Analyzing qualitative data

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.

CSAP Evaluation for the Unevaluated: Program Evaluation 102

SAMHSA CSAP, 2003 — This e-learning tutorial will introduce statistical concepts and explain how evaluation results are used. Good evaluations are essential to effective programs and the future of your prevention program. The tutorial also describes special challenges in evaluating prevention programs.

CSAP Wading Through the Data Swamp: Program Evaluation 201

SAMHSA CSAP, 2003 — This e-learning tutorial uses a case-study approach to demonstrate how to use evaluation data and how to work more effectively with your evaluator. If you are not familiar with evaluation, you should complete Evaluation 101 and 102 before beginning this tutorial.

Data quality assessment framework

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.

The 2002 user-friendly handbook for project evaluation

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.

Using data from other sources – A checklist for quality concerns

U.S. Environmental Protection Agency, 2000 — Describes seven steps to ensure proper scrutiny of secondary data. Assumes a basic knowledge of the topic.

Evaluation handbook

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.

Analyzing quantitative data

University of Wisconsin – Extension, 1996 — Presents common mathematical techniques that can be used to evaluate raw data, including: numerical counts or frequencies, percentages, measures of central tendency, and measure of variability. Assumes a basic level of knowledge about data analysis.

Developing and using questionnaires

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.

Understanding evaluation: The Way to better prevention programs

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.

Evaluating program outcomes

Child Welfare Information Gateway, No Date — Provides links to information and resources to help at various stages of the evaluation process. Topics include evaluating program outcomes, planning for evaluation, evaluation design, collecting and analyzing data, and using evaluation results.

List of online evaluation resources

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.

Tip sheet : How to analyze data

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.