Exploring Ohmage: Analyzing and Presenting Survey Data LBR & WS UsernameTotal ResponsesPrivate ResponsesShared Responses Hist_Team144 0 Hist_Team251 0 Hist_Team354 0 Hist_Team Hist_Team525 0 Total (All Users) Feb 11Mar 11 Gathering Data Surveys Now! 219 rows as to 4pm, 03/11/2013 28 rows are fill by NOT_DISPLAYED, meaning that people have selected No for the first question (participation agreement) Sample size: 191 Look at the Data How to get this number? Simply sort a certain row, and all the NOT_DISPLAYED will be sorted together. Sort data to get the count of a certain attribute Understand the header (prompt IDs). Again, there are three columns for each question. For example: workStatus:key workStatus:label Full Time Career workStatus:value *when sorting data, make sure you expand the sort so one row remains one persons response. Summary Statistics Important cutoff values Example: Commute Time (minutes) Min. : 2.0 1st Qu.:20.0 Median :30.0 Mean :33.9 3rd Qu.:45.0 Max. :90.0 *Excel file with formatted Commute Time is available on CCLE (week 10) Except for Commute Time (numeric), you can find the distribution of pretty much all the questions (mostly single choice) on Ohmage. (Explore Data -> Single Variable -> Prompt Distribution) Gender choice Work Duration Stress Level Injury Risk Transportation Choice Union Activity Union Difference Union Membership Distribution Go over every prompt to see their distribution. See if you find anything interesting. Legend and key are too small. Can crop only the plot area, and then add title/key/legend in PowerPoint or other software. **especially important for presentation. Stress Level Injury Risk Transportation Choice Union Activity Union Difference Union Membership Distribution Questions So many people think union makes a difference, - why this is not reflected in union membership? Why is the gap? Are unions accessible? Is the mode split in accordance to that of a larger scale (city/county)? Is there a special characteristics of the population in terms of commute mode? What could be the reason if there is such characteristics? Do UCLA promote transit/sustainability? Where Do Workers Live? -Map Zip Codes Are people living here more stressed due to long commute time?? Looking at the map, we can target the zip code number, and in this case, and then look back at the tabular data, examine the response to other questions, and see if there is anything that can be possibly related to where they live. (stress level, stress source, satisfaction, etc) UCLA Map from Ohmage A nice background map in the introduction part of the report. Can do more with infowindow using Google Fusion Tables. Multiple Variables Which pair of variables to choose is based on your observation of the trend and distribution of all the single variables from previous work. Union Membership *Direct labeling in the chart is usually more intuitive than using a key, especially in presentation. Reclassify: group the data to two large categories. (not a member vs. union member). Compare the characteristics of the two groups, and see if union membership has an impact on those charateristics. not a member union member Union Membership and Work Status (percentage) Union Membership How does work status affect union membership? It is in accordance with intuition that full time workers are more likely to be a union member. What measures can unions take to attract under- represented groups (students/part time workers)? Multiple Variables Stacked column chart is an effective way to present multiple variables. Count: shows absolute numbers. The majority of people are either not active or slightly active in unions. Percentage: shows the breakdown of one variable within a certain category of the other variable. As people become more active, the percentage of very responsive goes up. The positive relationship can be two directions: the more active you are, the union is more responsive; or because the union is responsive, you become more active. This can lead to recommendations to unions response policies. not active slightly active moderately active very active extremely active not active slightly active moderately active very active extremely active Multiple Variables Similarly, we can see that as you become more active in the union, it is more likely that you have been contacted by the union. Again, the interaction between a member and a union is two directional and has a positive relationship.