Processing and Presenting Qualitative Data

What is coding?

• Writing messages to other students about your topic.

• Figuring out what the data means.

• Sorting and organising your data.

• Drawing graphs on the data.

Coding quantitative data means we are either creating statistics or graphs. 

• True

• False

What are we doing when we are analysing our data?

• Identifying similarities and differences.

• Identifying links between the data.

• Finding connections.

• All of the above.

What is synthesis?

• Adding specific details to your graphs.

• Combining two or more sets of data to come up with new insights.

• Eliminating bad data.

• Collecting surveys from participants.

In coding we are using the data that can be quantified – we are not using this process for qualitative (open ended questions).​

• True

• False

How do you sort data on an excel spreadsheet?

• Read each line of data and move it accordingly.

• Sort the data alphabetically.

• Use the filters found at the top of colums.

• Open a new page in excel.

What is the first step in data analysis?

• Collecting data.

• Cleaning data.

• Visualizing data.

• Interpreting data.

What is raw data?

• Data you need to delete.

• Data that isn't relevant to your research.

• Data with errors.

• Raw data refers to unprocessed information in its original form.

What is qualitative data?

• Good quality responses from participants.

• Information that describes qualities or characteristics rather than being numerical or measurable.

• Data you need to review.

• Irrelevant data.

What is the purpose of data cleaning?

• To remove errors and inconsistencies from data.

• To encrypt the data for security.

• To add more data to your dataset.

• To make data more visually appealing.