“When you want to fool the world, tell the truth.”
— Otto von Bismarck

Select a Data Presentation Format

After planning, data collection, analysis, and interpretation, you are probably quite familiar with what your evaluation found. But, your audience is not. Your findings must be presented in a way that will clearly communicate your results, and how they answer your evaluation questions. Like analysis, presentation formats for qualitative and quantitative data will be different. Narrative data are presented using sample quotes. Numerical data can be presented using charts and tables.

 
Below is a list of types of presentations you can use to share your evaluation findings with staff, program managers, and stakeholders.

Type of Data
Presentation Format
Purpose/Best Used When
Considerations
Sample Presentation
Qualitative   Best for hearing the voice of the target population Verbal skills of the target population and their willingness to speak  
  Summarizing Text by Evaluator Good for describing a general theme that was found Are there quotes available to support the theme? “The teens cited numerous challenges to their commitment to nonsmoking including living in homes that were not smoke-free, patronizing restaurants that permit smoking, socializing with friends who allow smoking in their homes and going away to college.” For more information, see the report: Results of the 2002 Wisconsin Implementation Study of the Not On Tobacco (N-O-T) Program.
  Respondent Quote Best used as an example of a summary theme. Remove or disguise any names. Quote only the parts that are relevant to the theme being discussed. “Students also agreed that the behavior of parents and peers influence their smoking behaviors. For example, a student commented about how he began smoking: ‘I was bored and stressed out--my Dad smokes and hey; I tried it. Three years later, I am still going strong.’ Another student stated, ‘If they [parents] smoked, the more likely you would smoke.’ A male student said, ‘[I] never smoked cigarettes until I lived with a girl last year ... quit [smoking] when I stopped living with her.’” For more information, see the American Journal of Health Studies article, A qualitative assessment of college students' perceptions of health behaviors.
Quantitative   Best for reaching large numbers of people and standardizing responses Requires an interviewer or reading skills.  
  Text Good for conveying counts or other simple information. • No more than 3-4 numbers should be presented in a sentence.
• Numbers under 10 should be words, 10 or over should be numerals
“With regard to gender, 48% of the population were female and 52% male.”
  Tables • Good for frequency distribution and for tabulation where two categorical variables are presented in relationship
• The simplest—one variable with counts
• Helpful to add percentages (down columns or across rows) or cumulative percentage
• Show the sample size (n=number of people)
• Some people have difficulty understanding tables. The more variables and numbers it includes, the more confusing a table is to the audience.
• Should be self-explanatory: title, columns, and rows labeled
• Generally better than graphs when there are a lot of categories or numbers being presentedfor numeric info

Frequency Table

Cross Tabulation Table

Stratified Table

  Graphs • Can present more than one variable.
• A small table is better than a large graph
• Common types of graphs:
 - Arithmetic line graphs
 - Scatter diagram
Better than tables for:

• Showing trends
• Making broad comparisons
• Showing relationships
Arithmetic line graphs

Scatter diagram

  Charts • Best for lay audiences
• Especially Good for conveying simple concepts
• Good for showing differences between groups can be used to present more than one variable.

Common types of charts:

• Pie charts
• Pictographs
• Bar charts (single, grouped, stacked)
• Histograms
 
Better than tables for:

• Showing trends
• Making broad comparisons
• Showing relationships

Pie chart

Pictograph

Bar chart

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