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Using Graphics to Report Evaluation Data: A Social Work Review

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Abstract

This paper reviews "Using Graphics to Report Evaluation Data" by Ed Minter and Mary Michaud (2003), examining the authors' recommendations for selecting and designing effective graphic formats in social work evaluation contexts. The review covers key graphic types — bar charts, pie charts, line graphs, illustrations, and photographs — and summarizes the authors' guidance on keeping visuals simple, selecting graphics that communicate the most important message, and supplementing visuals with appropriate contextual information. The paper also highlights the checklist framework the authors provide for practitioners preparing evaluation graphics, and discusses the importance of audience awareness, message clarity, and peer feedback in producing meaningful data presentations.

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What makes this paper effective

The review closely tracks the source article's argument, summarizing each graphic type in sequence while raising genuine evaluative observations, such as the misleading potential of unsupported pie chart data.
The writer uses concrete examples from the article — such as the Ozaukee County smoking data — to ground abstract points about graphic design in specific, memorable cases.
The paper maintains a focused, critical voice appropriate to a brief article review, offering commentary rather than merely restating the source.

Key academic technique demonstrated

This paper demonstrates source-engaged critical summary: the writer paraphrases the authors' recommendations while interjecting evaluative observations, such as noting when authors contradict their own earlier advice (e.g., recommending additional text beneath pie charts despite earlier warnings against extraneous information). This technique shows active reading and analytical engagement with a primary source.

Structure breakdown

The paper opens with a brief introduction identifying the source and its core claim. The body moves through each graphic type discussed in the article — bar charts, pie charts, line graphs, illustrations, and photographs — in roughly the same order as the source. It closes by summarizing the authors' practical checklist and design principles. The structure is linear and article-driven, making it a clear example of an organized article review format.

Introduction

The authors of the article Using Graphics to Report Evaluation Data purposefully explain that data derived from various graphic styles can and should "tell a story" and provide a great deal more, including putting "a human face on a project" (Minter et al.). This review examines the authors' key recommendations and the range of graphic formats they discuss for communicating evaluation data effectively.

Key Principles for Presenting Data Graphically

The graphics the authors present include bar charts, line graphs, pie charts, and illustrations such as diagrams, maps, drawings, and photographs. The main ideas to be taken into consideration when presenting data through graphics are: (a) keep it simple; (b) pick a graphic that "communicates the most important message"; and (c) never presume that others will read the text prepared as an accompaniment to a graphic (Minter et al.). These three principles serve as the foundation for all the specific guidance that follows in the article.

Bar Charts and Pie Charts

Before preparing bar charts, the authors suggest taking a close look at an existing chart to determine what it shows, what conclusions can be drawn from it, and whether it contains enough information. The title placed above a bar chart should use "precise language" so that when readers move into the specifics of the chart, they already know what they are looking for.

When readers look at pie charts, they are seeing proportions of a whole. Unless the chart is accompanied by supporting data, however, the reader could be misled. For example, a pie chart discussed on page 335 breaks down restaurants in Ozaukee County, explaining the percentages of venues that permit smoking in designated areas (39%), do not allow smoking at all (44%), allow smoking anywhere in the restaurant (11%), and allow smoking only at certain times of day and in certain areas (6%).

The problem, as the authors point out, is that this pie chart does not tell the reader whether all restaurants in Ozaukee County were surveyed, or whether all were sent questionnaires and only some responded. While the authors warned earlier in the article to avoid extraneous information below a chart, in this particular case they suggest including details about "sampling methods, response rates, and limitations of results." This is a noteworthy tension in their own advice, and it underscores the importance of context when presenting proportional data.

2 Locked Sections · 275 words remaining

Line Graphs and Illustrations · 120 words

"How line graphs and illustrations convey trends and context"

Photographs and the Evaluation Checklist · 155 words

"Photographs for comparison and checklist for planning graphics"

Conclusion

The authors conclude by pointing to important aspects of creating graphics: document the reasons why you chose a particular graphic style, avoid pithy generalizations, and seek feedback from trusted, critically alert observers (Minter et al., p. 353). Together, these principles offer social work practitioners a practical and accessible framework for communicating evaluation data clearly and honestly to diverse audiences.

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Key Concepts in This Paper

Data Visualization Evaluation Reporting Bar Charts Pie Charts Line Graphs Illustrations Social Work Evaluation Graphic Design Audience Awareness Sampling Methods