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UNCA Department of Education
Dr. Janet W. Bowman
Visiting Associate Professor

ZH 122, CPO# 1950
One University Heights
Asheville, NC 28804-8502

jbowman@unca.edu
828\
251-6964 (o)
Office Hours: by appointment

EDUC 396

Data Analysis

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Teaching Location  
Research Title

 

 

 
Paragraph summary of what is to be accomplished

 

 

 

 

 

Data collecting options:

1. Demographic Data

Percentages and narrative are appropriate. You may want to illustrate them using Excel for your presentation. For now, just write up what you have.

2. Pre-Test/Post-Test Data

First Record all the scores and then calculate the average for each class or each week of the study.

Take the average of the pre-test scores and the post-test scores and put them on an Excel Chart for sharing. This will show gains or losses with your study.

You may want to separate anything that appears interesting with regard to your children based on a survey. Once you finish going through the Wizard, you can then copy and paste the chart into Section IV and then describe what is going on such as…

"Results from a pre and post test indicate that students increased their knowledge of geometry from an average of 63 to an average of 85."

3. Survey Data

These data are usually displayed on a Likert Scale (1 to 5 with 5 high and 1 low) for each question (usually not more than 10 questions)

Question 1: 1 2 3 4 5

Take each question separately, multiply the value of the question by how many people choose that value, add up all the values and divide by the "n" or number of people answering the question to come up with a score.

Example

Question 1: Do you believe research knowledge is important for teachers?

5 people answer 4, 3 people answer 1, and 12 people answered 5

5x4 = 20,, 3x1 = 3, and 12x5 = 60 so the total is 83 (right?) and then you divide this by how many people answered the question; so 83/20 = 4.6 is the average score for Question 1

Then you would look at each question’s score and record it in a table and describe what it says, such as:

According to a survey conducted with licensure candidates, 12 of the 20 students surveyed indicate that knowing how to conduct research is very important students in this class.

 

(When you get to serious research you would run a statistical test for significance – you don’t have to do that here). All you have to do is look at the raw data and interpret it.

This will become a page on PowerPoint in your presentation, but also can be part of Section IV when you are sharing results.

 

4. Interview Data. Survey or observations.

Present a question and look for consistent responses.

Such as:

Interview Question 1:

What is your biggest fear in solving math problems?

Responses may include:

Johnny: I can’t read

Mark: I hate word problems because I can’t do them

Sylvia: I have trouble knowing what to do with the numbers

Arthur: I like word problems, the more the better

If we looked at these responses, what could you say about your students’ fears?

They are either related to reading, anxiety, or there are none… so you would look to see how many students identify reading as an issue, anxiety topics, or others and/or no problems.

Interview data allow you to obtain a greater depth of understanding as to how your students are performing; so you want to use interview data to explain performance of your students.

Observations/Checklists

You may use tallies to show frequencies. For a checklist, include what you are checking for and have one for each child. When it comes down to analyzing the data, compile everybody’s lists together. Here is an observation of behaviors:

 

 

 

 

Time of Day and Disruptions

  8:00 10:00 12:00 2:00 End of Day
Day 1 1111111111

111111111

1111111

1111 11111111

111111

1111 11111111

11111

Day 2 111111111

111111111

111111111 111111111

111111

111111 111111

111111

Day 3

intervention

11 1 11 1 1
Day 4 11 1   1  
Day 5 1       1

 

What do these data say (remember that data is always plural)?

You could count up all the tallies before the intervention and then count the tallies after the intervention and compare these data as a percentage of decrease or even just use the tallies as raw data. You can put this chart in Section IV and add a statement such as:

Over a five day period, I observed students’ disruptive behaviors. In the days prior to the intervention (and state it specifically) there were 121 incidences recorded. On the day of the intervention there were only 7 disruptions (and these were by the same child).

Save your opinions for Section V.


 

 

 

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