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Impact-ful Redesign: Using R Markdown for Evaluative Reporting

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Kyle Steven Habig onto AEA 2022

(Re) shaping Evaluation Reports: Building a Report Template in R Markdown

Project report development can be a resource-consuming endeavor. During this demonstration, participants will learn how to create an R Markdown file in R that integrates both standard reporting text and R code that can be used to create Word, pdf, or HTML file reports at the click of the button.  Attendees will learn how to add visualizations, graphics, statistical analysis, and tables to these reports.  Standard R coding procedures and strategies that we have developed will be shared along with access to the code for everything shared during the demonstration.  Procedures on how to maintain participant anonymity as well as ways to positively highlight subgroup differences will also be shared. Using R Markdown, a free open source program is a great tool to have due to end users’ ability to share code with anyone around the world.  This eliminates the need to pay for expensive software and training.

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Profile picture of Ann Bessenbacher

Ann Bessenbacher onto AEA 2022

(Re) shaping Evaluation Reports: An Evaluation Report Templating Process

For evaluation centers, project report development can be a resource-consuming endeavor. So, developing a report template is useful for an advanced start on the reporting process, and to create a standardized approach and look.  This collaborative process helps centers prepare a report structure early on in projects using predesigned templates and align data collection and analysis with the report content before data collection begins. This approach streamlines report development by enabling teams to design reports together and then hand them off to a colleague to complete the report independently. These templates can be created using R and R Markdown code (but the process universally applies to any software as well).  Report templates also give centers the information needed to develop dashboards, Adhoc reports, and needs; as well as a means for data team members to create a repository for commonly used scales, data sources, analysis methods, and metadata. 

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Ann Bessenbacher onto AEA 2022

Using Outcome Mapping Tools to Structure Reflection and Learning Opportunities in a Large, Multi-National Development Project

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Loran Carleton Parker onto AEA 2022

AEA 2022 ELRC Presentation Schedule

Catch up with the ELRC Team from Purdue at AEA 2022 for one or more of their presentations:

Poster: Educational Equity in Somalia — (Re) shaping Evaluation to Inform Policy (Christiana Akande)

Presentation and Lead Author 

Date 

Location 

Ignite Session: (Re)shaping Evaluation Reports: An Evaluation Report Templating Process (Ann Bessenbacher)

11/9/22 5:30-6:30pm 

Celestin F 

Ignite Session: Readiness, Willingness & Ability Assessment: Creating Opportunities to Foster Multi-Stakeholder Institutional Change (Lindley McDavid)

11/9/22 5:30-6:30pm 

Celestin F 

Poster: Educational Equity in Somalia — (Re) shaping Evaluation to Inform Policy (Christiana Akande)

11/9/22 6:30-8:30pm 

Elite Hall A - 196 

Poster: Using Outcome Mapping Tools to Structure Reflection and Learning Opportunities in a Large, Multi-National Development Project (Loran Parker)

11/9/22 6:30-8:30pm 

Elite Hall A - 131 

Poster: IMPACT-ful Evaluation: Report Templating Using R Markdown (Alex France)

11/9/22 6:30-8:30pm 

Elite Hall A - 75 

Poster: (Re) shaping Evaluation Reports: Building a Report Template in R Markdown (Ann Bessenbacher)

11/9/22 6:30-8:30pm 

Elite Hall A - 70 

Panel: Using evaluations for deeper understanding of marginalization dynamics: the case of Somalia (Wilella Burgess)

11/11/22 10:30am-12pm 

Celestin G 

Birds of a Feather: (Re)shaping Evaluation Across Borders (Christiana Akande)

11/11/22 

 

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Profile picture of Ann Bessenbacher

Ann Bessenbacher onto AEA 2022

Menti Meter

Online question system that's interactive.

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Profile picture of Ann Bessenbacher

Ann Bessenbacher onto Combo Test Collection

Menti Meter

Online question system that's interactive.

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Ann Bessenbacher onto Cool Tools

Data Visualization Checklist from Stephanie Evergreen and Ann K. Emery

This checklist is meant to be used as a guide for the development of high impact data visualizations. Rate each aspect of the data visualization by circling the most appropriate number, where 2 points means the guideline was fully met, 1 means it was partially met, and 0 means it was not met at all. n/a should not be used frequently, but reserved for when the guideline truly does not apply. For example, a pie chart has no axes lines or tick marks to rate. If the guidelines has been broken intentionally to make a point, rate it n/a and deduct those points from the total possible. Refer to the Data Visualization Anatomy Chart on the last page for guidance on vocabulary and the Resources at the end for more details.   by Stephanie Evergreen & Ann K. Emery May 2016

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Profile picture of Ann Bessenbacher

Ann Bessenbacher onto Combo Test Collection

Evaluation Report Layout by Stephanie Evergreen

This checklist is meant to be used as a diagnostic guide to identify elements of evaluation reports that could be enhanced using graphic design best practices and/or the assistance of a graphic design expert. Suggestions are best suited for those using standard Microsoft Word software.

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Ann Bessenbacher onto Combo Test Collection

likert bar chart

R Visualizations

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Profile picture of Ann Bessenbacher

Ann Bessenbacher onto Combo Test Collection