Evaluate and Integrate Data from Multiple Sources Across Various Formats, Including Media

What is quantitative data?

Information that can be counted, measured, or compared numerically

What is qualitative data?

Information describing qualities that can be observed but not objectively measured

What is synthesis?

Combining information from multiple sources into a clear understanding

What is the first step in selecting relevant data?

Clarify the author's purpose

What is the risk of including irrelevant data?

It can be misleading or show bias

What is the relevant data for "foreign language study leads to better jobs"?

Career trajectories and earnings of those who did and didn't study languages

What is the question to ask when analyzing data sources?

What information is missing from the argument?

What is the benefit of using multiple data sources?

Easier to spot trends and outliers; adds depth to an argument

What is an outlier?

An unusual result that doesn't fit the trend

What is the weakness of only quantitative data?

It can be dry for readers

What is the weakness of only anecdotal evidence?

It may not be persuasive

What is the benefit of statistical data?

It appeals to readers' logic

What is the benefit of combining quantitative and qualitative data?

Adds texture and depth to an argument

What is the purpose of organizing data?

To clarify thinking and track evidence and reasoning

What is chronological organization best for?

Showing how something developed over time

What is order-of-importance organization?

Grouping data by how strongly it supports a claim

What is the benefit of using technology to organize data?

Saves money on printing and time finding information

What is the way to test if evidence is sufficient?

Answer who, what, where, when, why, and how

What is the sign that more evidence is needed?

Gaps in your understanding or unanswered questions in your notes

What are relationships you might find when synthesizing data?

Cause and effect, problem and solution, compare and contrast

What is a prediction (in data)?

An idea about what will happen later based on trends

What is an inference (in data)?

Combining evidence with your own knowledge to go beyond what the data shows

What is a conclusion (in data)?

A final summary statement about what the data shows

Quantitative or Qualitative:
What type of data is this: "72% of patients rated the clinic 5 stars."

Quantitative

Quantitative or Qualitative:

What type of data is this: "Patients described the staff as warm and welcoming."

Qualitative

Quantitative or Qualitative:

What type of data is this: "The patient's heart rate was 88 bpm."

Quantitative

Quantitative or Qualitative:

What type of data is this: "The wound appeared red and swollen."

Qualitative

Quantitative or Qualitative:

What type of data is this: "Average wait time was 14 minutes."

Quantitative

Quantitative or Qualitative:

What type of data is this: "Interviews with nurses about job satisfaction."

Qualitative

PREDICTION, INFERENCE, OR CONCLUSION

What is this: "Enrollment has risen every year, so it will likely rise next year."

Prediction

PREDICTION, INFERENCE, OR CONCLUSION

What is this: "The data shows exercise lowered blood pressure in all groups studied."

Conclusion

PREDICTION, INFERENCE, OR CONCLUSION

What is this: "Survey scores dropped after staff cuts, so patients likely felt less cared for."

Inference