Creating effective graphs : solutions for a variety of evaluation data / Gary T. Henry, editor.

"A publication of the American Evaluation Association."

"Spring 1997."

Includes bibliographical references and index.

Editor's Notes / Gary T. Henry -- Introduction / Gary T. Henry -- Pt. 1. Displaying Parts of the Whole. 1. Packing It In with Horizontal Bars / Deborah G. Bonnet. 2. Use of Graphics to Illustrate Responses to Multipart Survey Items / Helen Brown, Katharyn Marks and Margret Straw. 3. Graphical Presentation of Multilevel Data: Table Versus Flowchart Format / Edward A. Parker and Louis J. Mortillaro -- Pt. 2. Displaying Identifiable Units. 4. Comparing Performance: Simpson's Paradox and Analyzing Outcomes / Alvin Glymph and Gary T. Henry. 5. Beyond Double Bar Charts: The Value of Dot Charts with Ordered Category Clustering for Reporting Change in Evaluation Research / James M. Sinacore -- Pt. 3. Displaying Trends. 6. Using Graphics to Convey Meaningful Comparison over Time / Robin S. Turpin. 7. Time Series Graphs on Financial Performance and Cohort Dropout Rates / Kathleen Sullivan. 8. Evaluation Concerns and the Presentation of Data / Mika'il DeVeaux --

Pt. 4. Displaying Relationships. 9. Some Visual Displays of Two-by-Two Data: Predicting Later Violent Behavior / James H. Derzon. 10. Graphing Impact from Pooled Time Series: School Districts' Energy Savings in Arizona / Lois W. Sayrs. 11. Shaping Visual Representations of Interorganizational Networks to Tell a Story / Matthew C. Johnsen and Barbara E. Starrett -- Conclusion: Keys to Good Graphing / Gary T. Henry and Kathleen Dolan.

This volume of New Directions for Evaluation is an attempt to share ideas and improve the hit-or-miss nature of graphical production.

The graphs in this volume are solutions to problems that arise when communicating evaluation findings. The problems are common and recurring. Sometimes they involve communicating a known finding that could be contained in a table but would be much more difficult to extract from the table. Sometimes they expose biases in the narrative reporting of the data. Sometimes they reveal implications that would have gone unnoticed and allow new findings to emerge.

The graphs can be used for discovery or for presentation; they are sometimes designed for evaluators and other times for evaluation audiences.