Data Analysis of CBQ

What was the activity?

We had to analyse and make statements about the data of the Childrens' Book Questionnaire by Aaron Hooper. We did this by getting into groups for three, discussed some statements and created bar graphs in a Google Sheet.

Examples of the questionnaire data...

Data Analyses Statements

Eleven people took part in a questionnaire regarding how parents and their children access stories and information. The questions that were asked were…

1. Age
2. Gender
3. Ethnic Background
4. The child/children you care for age group
5. How often do you read to a child?
6. How often do does the child you care for access stories?
7. What do you think is the best way to show/read stories to children?
8. What is your child's favourite way to access stories?
9. Which format of story do you spend more on per month?
10. Favourite genre of children's book
11. How much in pounds would you spend on children's stories per month?
12. Do your or the children that you have cared for have any learning difficulties?
13. If you answered yes to the previous question. Please can you outline the ways they prefer to consume stories and why?
14. Please read the linked story below. What age group do you think this appropriate for?

• 90.91% of the eleven people who took part in the survey are 30 or older.

• Out of the eleven who took part, only one of them was Male.
• 9 out of 11 were ‘White British’.
• The age group of the ‘child/children you care for age group’ varied between 0 to 8 years
• Everybody in the survey had ‘Paper Books’ as their best method of receiving a story or information.
• Everyone who took part in the survey read to a child every day.
• 10 out of the 11 participants said that the child they care for reads Daily. Whilst the one said the child they care for reads every hour.

 

• If we made a paper book, it would sell more as everyone in the survey prefers paperbooks out of all the types of publishing formats.
• If we sold our book within the price range of £6-10, it would sell better than if our price range was £15-20.
• If our story is fictional and ‘adventure’ we could pressume it would be more popular with a general audience.
• If we made out book to appeal more to women, it would sell more.

What did I know before?
I knew how to create bar charts and graphs using data provided from previous tasks in previous education.

What have I learnt?
I learnt how to carefully analyse research data and to make statements based on questionnaire result evaluation.



Week later...
The week after the data analysis eleven more people were involved in the survey meaning that more data was collected. All of the respondents were female and White British. 10 out of the 11 were 18 or less whereas one was between the age of 19-25. They all cared for a very young age group as they all answered 0-4. Only one person in the most recent results had Audio Books as their best method of recieving a story/information.

Examples of the data we ended collecting...