Secondary data

Here you will learn about secondary data, including what it is and how to use it in the statistical process.

Students first learn to work with secondary data in 6 th grade and expand their knowledge and use of data as they progress through the grades.

What is secondary data?

Secondary data is data that was collected and then used by another person for another purpose.

Secondary data can be collected from many sources, such as:

  • publications
  • books
  • websites
  • government records
  • past surveys
  • past questionnaires

The most important thing to remember is that secondary data is data used by a person who did not collect it.

Secondary data can be graphed, which provides a visualization of the data.

For example,

Adam was researching the difference in rainfall between two cities. He graphs from a weather website that shows the total rainfall each month for the cities.

Secondary Data 1 US

Secondary Data 2 US

Since Adam is using data by someone else, this is secondary data.

Now that Adam has found the data, he can use it to complete his research…

  • What is the difference between rainfall in January for Galesville and St. Martin City? 20 inches

What is secondary data?

What is secondary data?

Common Core State Standards

How does this apply to 6 th grade math?

  • Grade 6 – Statistics and Probability (6.SP.B.5a and 6.SP.B.5b)
    Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, β€œHow old am I?” is not a statistical question, but β€œHow old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.

  • Grade 6 – Statistics and Probability (6.SP.B.5a and 6.SP.B.5b)
    Summarize numerical data sets in relation to their context, such as by:
    • Reporting the number of observations.
    • Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.

[FREE] Types of Data Worksheet (Grade 6 to 7)

[FREE] Types of Data Worksheet (Grade 6 to 7)

[FREE] Types of Data Worksheet (Grade 6 to 7)

Use this quiz to check your grade 6 to 7 students’ understanding of types of data. 10+ questions with answers covering a range of 6th and 7th grade types of data topics to identify areas of strength and support!

DOWNLOAD FREE
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[FREE] Types of Data Worksheet (Grade 6 to 7)

[FREE] Types of Data Worksheet (Grade 6 to 7)

[FREE] Types of Data Worksheet (Grade 6 to 7)

Use this quiz to check your grade 6 to 7 students’ understanding of types of data. 10+ questions with answers covering a range of 6th and 7th grade types of data topics to identify areas of strength and support!

DOWNLOAD FREE

How to recognize secondary data

In order to recognize secondary data:

  1. Identify the data collected.
  2. Identify the source of the data and the user.

Secondary data examples

Example 1: real world example of healthcare research

Professor Lee is a researcher studying the effects of exercise on mental health. He reviews a published study that analyzed data from hundreds of people who participated in different fitness programs, tracking changes in their mental well-being.

Using the study’s findings, Professor Lee decides which fitness program to recommend for his own research. Is this an example of secondary data? Explain.

  1. Identify the data collected.

In this case, the data was collected in a study that measured how exercise impacted mental health.

2Identify the source of the data and the user.

Now we need to identify who collected and used the data. The context tells us that Professor Lee used data from a study. It does not indicate that Professor Lee was involved in the study, so we will assume he was not.

This means Professor Lee was analyzing and using data he did not collect. Professor Lee used secondary data sources.

Example 2: real world example of market research

Huong is a marketing analyst studying what people like about new smartphones. She looks at a report from a tech company that asked thousands of customers about their favorite features and what they buy.

Using the report, Huong decides which features to highlight in her ads. Is this an example of secondary data? Explain.

Identify the data collected.

Identify the source of the data and the user.

Example 3: real world example of healthcare research

Jamal wants to write a blog about how small business owners solve problems. He talks to a group of local business owners and asks them questions in personal interviews.

Then he uses their answers to write a blog post and shares it online. Is this an example of secondary data? Explain.

Identify the data collected.

Identify the source of the data and the user.

How to analyze secondary data

In order to analyze secondary data:

  1. Collect secondary data.
  2. Choose a graph or measure of center to calculate.
  3. Answer questions based on the data analysis.

Example 4: collecting and analyzing secondary research

Ishana is completing a research project. Ishana wants to know, β€œWhat is the average lifespan for wild cats?”

Collect secondary data.

Choose a graph or measure of center to calculate.

Answer the question based on the data analysis.

Example 5: secondary data analysis of census data

Aubrey is completing a project for work. Aubrey needs to know the average value of houses in a neighborhood.

Collect secondary data.

Choose a graph or measure of center to calculate.

Answer the question based on the data analysis.

Example 6: secondary data collection for social media, involving qualitative data

For a Social Science class project, Arrow wants to create a social media post about the kinds of news stories major news companies share.

Arrow looks at a study that chose 200 random news stories and sorted them into three groups: negative, neutral, or positive. He also analyzes the average number of words in each story.

Secondary Data 7 US

Collect secondary data.

Choose a graph or measure of center to calculate.

Answer the question based on the data analysis.

Teaching tips for secondary data

  • When teaching students to identify secondary data, emphasize the importance of exploring existing data from reliable sources, such as public datasets or reports.

    Encourage students to consider how the formats of these datasets (for example, spreadsheets, charts, or written summaries) align with their research questions, helping them choose data that is accurate, relevant and easy to analyze.

  • Expose students to a variety of types of data and demographics within datasets. Along with this, give them opportunities to engage in both quantitative and qualitative research, by creating their own research questions and hypotheses, before using secondary data.

Easy mistakes to make

  • Choosing unreliable sources of secondary data
    Since the data is not collected by the person using it, it is important to ensure that the research data comes from a trusted source. Secondary research is only as valuable as the data quality used within it.

    Teach students how to identify reputable sources or provide them with a list of data resources and repositories to use, such as the U.S. Census Bureau.

  • Not checking for outdated information
    Using data that no longer aligns with the current context, can lead to mismatches with your research design, research purpose, and chosen research methods and ultimately result in a research product that is not useful.

    Always search for the origin date of the research and confer with experts when necessary, to ensure that the data you are using is the most recent and relevant to your research purposes.

Practice secondary data questions

1. Ivy is planning the research methods for her next project. She will gather data from various sources. Which source is an example of secondary data?

Ivy will randomly choose 5 people and complete case studies.

GCSE Quiz False

Ivy will create a survey to send out to random participants.

GCSE Quiz False

Ivy will use the data from a government survey completed last year.

GCSE Quiz True

Ivy will place rain gauges throughout the city and collect data from them each week.

GCSE Quiz False

Let’s look at each source of data…

 

  • Ivy will randomly choose 5 people and complete case studies.
    • This is NOT secondary data, since Ivy will choose the people and collect the data.
  • Ivy will create a survey to send out to random participants.
    • This is NOT secondary data, since Ivy will create the survey and collect the data.
  • Ivy will use the data from a government survey completed last year.
    • This IS secondary data, since Ivy did not complete the survey.
  • Ivy will place rain gauges throughout the city and collect data from them each week.
    • This is NOT secondary data, since Ivy is the one collecting the data.

2. Odion is working on a data management plan for her healthcare research project. He will gather data from various sources. Which source is an example of secondary data?

Odion will analyze health records from a national database collected over the past five years.

GCSE Quiz True

Odion will interview 10 patients about their recent hospital visits.

GCSE Quiz False

Odion will create a new questionnaire to collect information on patient satisfaction.

GCSE Quiz False

Odion will monitor patient vitals in a clinic over the next three months.

GCSE Quiz False

Let’s look at each source of data…

 

  • Odion will analyze health records from a national database collected over the past five years.
    • This IS secondary data, since Odion is using government collected data, not his own data.
  • Odion will interview 10 patients about their recent hospital visits.
    • This is NOT secondary data, since Odion will complete the interviews himself.
  • Odion will create a new questionnaire to collect information on patient satisfaction.
    • This is NOT secondary data, since Odion will create the questionnaire and collect the data.
  • Odion will monitor patient vitals in a clinic over the next three months.
    • This is NOT secondary data, since Odion will collect the data himself.

3. Which is NOT an example of secondary data?

James writes a literature review analyzing published studies and reports on consumer trends from the past decade.

GCSE Quiz False

A clothing store conducts a focus group with 12 participants to discuss their shopping habits.

GCSE Quiz True

Maria uses census data to decide 5 possible locations of a new daycare center.

GCSE Quiz False

A zoologist reviews elephant studies from the last 10 years to design a new elephant habitat at the zoo.

GCSE Quiz False

Let’s look at each source of data…

 

  • James writes a literature review analyzing published studies and reports on consumer trends from the past decade.
    • This IS secondary data, since James is using previously published data.
  • A clothing store conducts a focus group with 12 participants to discuss their shopping habits.
    • This is NOT secondary data, since the store is collecting the data themselves.
  • Maria uses census data to decide 5 possible locations of a new daycare center.
    • This IS secondary data, since Maria is using data previously collected by the government.
  • A zoologist reviews elephant studies from the last 10 years to design a new elephant habitat at the zoo.
    • This IS secondary data, since the zoologist is using data collected by other people.

4. Yusuf uses data published on four grocery store’s websites, to compare the price of bananas at each store over time. Then Yusuf created the following graph:

 

Secondary Data 8 US

 

Why is this an example of secondary data?

The data was collected online.

GCSE Quiz False

Yusuf created a graph with the data.

GCSE Quiz False

The data was quantitative.

GCSE Quiz False

Yusuf used data collected by someone else.

GCSE Quiz True

Secondary data is data that was collected and then used by another person for another purpose.

 

This is an example of secondary data because Yusuf did not collect the data himself.

 

The data was collected by the stores and then published online.

 

Secondary data can be collected offline, as well as online. It may involve graph, but this is not a requirement. Secondary data can be quantitative or qualitative.

5. Kayce used a thermometer to measure the temperature outside her house throughout the day and created the following graph:

 

Secondary Data 9 US

 

Why is this NOT an example of secondary data?

The graph does not have numbers labeled on the axes.

GCSE Quiz False

Kayce collected the data herself.

GCSE Quiz True

Only one data source was used for the graph.

GCSE Quiz False

Kayce did not use random samples.

GCSE Quiz False

Secondary data is data that was collected and then used by another person for another purpose.

 

This is NOT an example of secondary data because Kayce collected the data herself.

 

Secondary data can have only one data source and the graph of secondary data may or may not have numbers labeled on the axes. Secondary data may involve random samples, but this is not a requirement.

6. Last year, Derek collected data on how many slices of pizza each person ate at his birthday party.

 

Secondary Data 10 US

 

This year, his uncle uses the data to decide how many pizzas to order. If each pizza has 8 slices, how many pizzas should Derek’s uncle order, according to last year’s data?

10
GCSE Quiz True

4
GCSE Quiz False

6
GCSE Quiz False

1
GCSE Quiz False

Each pizza represents 4 people.

 

4 people had 1 slice: 4 \times 1=4 slices

 

16 people had 2 slices: 16 \times 2=32 slices

 

8 people had 3 slices: 8 \times 3=24 slices

 

4 people had 4 slices: 4 \times 4=16 slices

 

So last year, 4+32+24+16=76 slices were eaten in total.

 

76 slices \div \, 8 slices per pizza =9.5 pizzas, rounded up to 10 pizzas.

Secondary data FAQs

What are the benefits of using secondary data?

Primary data collection can be time-consuming and often requires an in-depth process. With secondary data, the work of collecting the data has already been completed, so you can start analyzing the data much sooner.

What are the disadvantages of secondary data?

Some disadvantages include a limited control over the original methodology, which might not align with your research. The data could also be outdated, biased, or contain errors.

Additionally, it may lack the detail needed to fully address your research questions, limiting its usefulness for specific studies.

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