6 months ago


6.5 What data do we

6.5 What data do we have? In the case of Fulton Vocational School the following data have been gathered: • Surveys • Interviews • On-sites observations OUTPUT GOES HERE Collection Method Surveys Interviews On-site Observations Data gathered - Quantitative - Responses to 10 two-way choice, multiple choice, and rating questions - Combination of quantitative and qualitative - Responses to 3 closed-ended questions and transcripts to 7 open-ended questions. - Qualitative - Observer’s notes regarding three specific tasks that the teachers had to perform and teachers’ answers to the open questions. Audio: Let’s go back to the FVC case and see what kind of data have been gathered. Click on each collection method used to see the data that were collected 8

6.6 Analyzing and documenting surveys Get meaningful information from a survey: Quick review of the results Use of statistics Look for patterns Create visual representations Determine further action Image/icon Image/icon Image/icon Image/icon Image/icon Audio: Surveys can be a great source of meaningful information for an instructional designer. Analysis and interpretation of survey data requires some work and depends on the type of data that have been collected. The first step in analyzing results is a quick read-through. This can help you get the overall picture of the results, ensure that you don’t miss anything important, and also help you avoid bias. For an instructional designer, the use of simple or advanced statistical methods can be very useful as surveys are rich in quantitative data. For example, in the Fulton Vocational School case, using statistics we can identify the most common response to distance education for each group of our audience using percentages. Investigate your results deeper looking for patterns, most popular responses, difference and similarities between groups or connections between responses. This is necessary for both quantitative data or qualitative take if the survey has open-ended questions. Very helpful for the analysis of the quantitative survey data can be putting the results into visual formats like charts, graphs or cross tables. Presenting data visually makes it easier to identify patterns in the data. It is also a great means of presenting the analysis results to the stakeholders. Once you’ve identified patterns in your data it’s time to determine actions that your results warrant. (Maybe an example here) 9