Data and Evidence

Data and Evidence

Middle School

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Learning Objectives

• Tell the difference between qualitative and quantitative observations.

• Identify the components of a scientific argument: claim, evidence, and reasoning.

• Understand the basic purpose of analyzing qualitative data to find patterns and themes.

• Apply the concepts of data and evidence to evaluate information.

Key Vocabulary

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Qualitative Observation

An observation using the five senses to describe qualities like color or texture.

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Quantitative Observation

An observation based on measurable or countable data, using numbers and instruments.

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Claim

A statement that presents an argument or a viewpoint that you are trying to prove.

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Evidence

Factual information, data, or examples that are presented to support and prove a claim.

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Reasoning

The explanation of how or why the evidence presented provides valid support for the claim.

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Qualitative vs. Quantitative Observations

Qualitative

• These observations describe qualities and characteristics of an object, like its color or texture.

• You can gather this information using your five senses: sight, smell, touch, taste, and hearing.

• For example, noting that a flower is ‘pink and white’ is a qualitative observation.

Quantitative

• These observations involve numbers and measurements that answer questions like "how many?" or "how much?".

• They are made using instruments like rulers, thermometers, scales, or simply by counting items.

• For example, measuring a feather to be ‘1.5 inches long’ is a quantitative observation.

Multiple Choice

A scientist notes that 'the solution turned a cloudy white color and its temperature increased by 15 degrees Celsius.' Which statement correctly identifies the types of observations made?

• The color is a quantitative observation, and the temperature change is a qualitative observation.

• Both observations are qualitative.

• The color is a qualitative observation, and the temperature change is a quantitative observation.

• Both observations are quantitative.

Claim, Evidence, and Reasoning

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Claim

• A claim is a statement that answers a question or your argument.

• It is the main point that you are trying to prove.

• A strong claim must be focused and something you can defend.

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Evidence

• Evidence is the collection of facts and data that supports your claim.

• It can be facts, data, expert opinions, or relevant examples.

• Strong evidence must come from a credible and trustworthy source.

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Reasoning

• Reasoning is the explanation that connects your evidence to your claim.

• It shows why your proof is valid and supports your main argument.

• It often explains the underlying scientific principle that is at work.

Multiple Choice

In the statement, 'This plant is healthiest because it grew 5 inches taller, which shows a significant growth rate,' what part is the reasoning?

• There is no reasoning in this statement.

• 'it grew 5 inches taller'

• 'which shows a significant growth rate'

• 'This plant is healthiest'

Analyzing Qualitative Data

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Coding Data

• Data analysis finds patterns in notes, interviews, and other materials.

• Coding involves applying labels or tags to 'chunks' of data.

• This helps categorize information related to specific ideas or themes.

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Thematic Analysis

• This method focuses on identifying common themes that appear repeatedly.

• It helps you cluster different data points together to form themes.

• The goal is to interpret the data and develop your ideas.

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Content Analysis

• Content analysis is used to determine the presence of certain words.

• It helps you find the most frequent ideas in the data.

• This can be shown using visuals like a word cloud.

Multiple Choice

What is the main purpose of using methods like coding and thematic analysis on qualitative data?

• To convert the descriptions into numbers.

• To create a list of all the words used in the interviews.

• To prove that the data is better than quantitative data.

• To find and organize patterns, themes, and key ideas within the data.

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Common Misconceptions

Misconception	Correction
An opinion is the same as a claim.	A claim requires evidence, while an opinion is a personal belief.
Any fact can be used as evidence.	Evidence must be relevant to the claim it is supporting.
Qualitative data is just opinion and is not useful.	It provides rich context and can be analyzed for important patterns.

Multiple Choice

A student writes in their journal, 'The rock is gray and smooth. It weighs 150 grams.' How should these two observations be classified?

• The color/texture is quantitative; the weight is qualitative.

• Both are quantitative.

• Both are qualitative.

• The color/texture is qualitative; the weight is quantitative.

Multiple Choice

Why is reasoning a crucial part of a scientific argument?

• It introduces a new claim to the argument.

• It repeats the claim to make it stronger.

• It explains how the evidence logically supports the claim.

• It provides a list of all the data collected.

Multiple Choice

A researcher is analyzing interviews with students to understand their feelings about a new science program. The researcher labels passages with terms like 'excited,' 'confused,' and 'interested.' What analysis technique is being used and why?

• Qualitative data coding, to categorize feelings and identify common themes.

• Claim, Evidence, Reasoning, to argue that the program is good.

• Observation, to describe the students' appearance during the interviews.

• Quantitative analysis, because it counts the number of students.

Multiple Choice

If your claim is 'Outdoor plants grow taller than indoor plants,' which of the following would be the most relevant and strongest evidence to support it?

• A story about a time you saw a very tall tree in a forest.

• A qualitative observation that the outdoor plants have greener leaves.

• Data showing the average height of 10 outdoor plants is 25cm, while the average height of 10 indoor plants is 18cm.

• An expert opinion from a gardener who says they prefer outdoor plants.

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Summary

• Data is either qualitative (descriptive) or quantitative (numerical).

• Strong arguments use a claim, evidence, and reasoning.

• Analyzing qualitative data helps find patterns and themes.

• Use both data types to support your scientific conclusions.

Poll

On a scale of 1-4, how confident are you about using data and evidence to make an argument?

• 1

• 2

• 3

• 4