# Ch 7: Integrating Different Types of Analysis: CCSS.ELA-LITERACY.RH.9-10.7

Plug these videos into your lecture program to boost your students' skills in interpreting information that is based on numerical and non-numerical data. Use our activity suggestions for ideas on supplementing your instruction with our lessons.

Standard: Integrate quantitative or technical analysis (e.g., charts, research data) with qualitative analysis in print or digital text. (CCSS.ELA-LITERACY.RH.9-10.7)

As you work through these lessons with your students they will develop a firmer understanding of the differences between qualitative and quantitative reasoning. They will also get a good grasp on interpreting illustrations of quantitative data within sources. Students should be able to develop an objective concept of what the data say regardless of how they are presented and incorporate such data in their own writing. In accomplishing these goals this chapter focuses on:

• Comparing/contrasting quantitative and qualitative data collection and presentation
• Describing how to read and understand depictions of data in charts, graphs, and other visuals
• Using various data types in writing to support central arguments

Mastery of these skills will be demonstrated as your students successfully decode and analyze various data sources. They will be able to identify how the data were manipulated to tell a certain story and incorporate these analyses and understandings into original copy.

### How to Use These Lessons in Your Classroom

Here are some examples of how you might insert these videos into your lesson plan.

#### Measurements in the news

After watching all of the videos in class or as homework, assign a homework project using the news as a source of data. Students should find one story which presents quantitative data in support of its claims and another which uses qualitative data. They will briefly summarize the data presented (both contents and form), their relation to the author's argument, and whether it was an effective means of presentation.

#### What's for lunch?

Watch the videos on quantitative/qualitative research and measurement and the video on using visuals in support of data in class. Divide the class into small groups and have each group develop a research project which addresses some aspect of the eating habits of their fellow students at lunch. Maybe they want to determine how many people are eating what or the health qualities of their peers' diets. The research should be either qualitative or quantitative, but not both, and it should describe the means for collecting and representing data. The data may be collected in one lunch period or over several days depending on the purpose of their research. Have the students conduct their research and present the results in class.

#### Using technology to present data

After watching the videos on visuals and multimodal writing, give your students a set of data gleaned from any source. Have students determine which kind of visual aid would best represent the data and create that visual using the table or chart tools in a word processor. They should support their visual aid decision by describing what the data say to them.

6 Lessons in Chapter 7: Integrating Different Types of Analysis: CCSS.ELA-LITERACY.RH.9-10.7
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