Research

Observe – observing the results of the plan

You can avoid getting daunted at the moment of analysing the data... Do it through the process.

“[O]ngoing reflection is satisfying and makes the research worthwhile; looking at a mountain of information at the end of a month of collecting data can be a hopeless process” Burnaford (2001)

Catching the meaning of the data

• Do these data answer my questions? If so, how?

• What are the main messages so far?

• What are the gap in the message I still need to fill?

• Do I need other kinds of data to help me really see what I am looking for?

• To answer my questions, are some pieces of data more important than others?

• Am I still asking the right questions or are the data telling me that something else is more important?

Let's reduce information!

Squashing - Squeezing - Crunching

- Assembling your data.

-Coding the data.

-Comparing the data.

-Building meanings and interpretations.

-Reporting the outcomes.

Analysing and synthesising qualitative data (tools)

Categorising: Look for the main themes or concepts

Multiple Choice

What is the idea of reducing information?

• To reduce time.

• To find explanations and important information.

• To creat new questions and people who answer them.

• To have more data which we will analyze later.

Steps to create categories to can encode your data.

• 1. Collect the data

• 2. Read carefully

• 3. Label the information

• 4. Keep doing label exercise

• 5. Create a list of categories

• 6.Subcategorize the information

• 7. Make a note on your category list of where the sub-categories fit in.

Multiple Choice

Choose three of the steps to create categories to encode your data.

• Read carefully, create a list and subcategorize information.

• Subcategorize, highlight the information and share your information.

• Delete not important informatio, create a list and share information

Analysing Talk

• Providing a general characterisation

• Identifying grossly apparent features

• Focusing in on structural elements

• Developing a description

Multiple Select

In the second stage "Identifying grossly apparent features" it´s necessary to identify

• Fine details

• Obvious details

Analysing and synthesising quantitative data

• Numerical scales

• A nominal scale

• An ordinal scale

• An interval scale

Multiple Select

What is the numerical scale on which numbers do not have a value?

• ordinal scale

• interval scale

• nominal scale

Descriptive statistics

• Measures of dispersion

• Measures of central tendency (the mean, medium and mode)

• MEAN

  It is the average value of a set of numerical

Descriptive statistics

Median: Central point - An approximate average

Mode: Most frequent number - Typical / usual

Measures of dispersion

Range

- The spread across all the numbers

- The scores are relatively close

Standard Deviation

- An average of the distance of each score from the mean

Validity in action research: Making sure your

conclusions are trustworthy

• 1.Keep the pedagogical focus of your research in mind

• 2. Use more than one source of information

• 3. Immerse yourself in the data

• 4-Focus on ‘practical theory’

Multiple Choice

What is the median of the following scores?

8, 8, 10, 12, 14, 15, 16

• 14

• 10

• 12

• 8

Multiple Choice

Which statement is not part of Validity in action research to make sure your conclusions are trustworthy?

• Take into account the pedagogical approach of the research

• Use more than one source of information

• Dive into the data

• Focus on "practical theory"

• Focus on the data collection instrument

Classroom Voices

Recognizing data

With the insights and findings you can reshape the direction of your research.

Taking into account the different ways to analyze the data: Qualitative and Quantitative.

Clarify idea

It is possible to gaining an analysis dynamic, cyclical and recursive to the the idea of the research.

Look for types of patterns in the way that someone leads the teaching to prove or improve the phenomenon.

Multiple Select

Calculate the range and the standard derivation are keys to the _______ data?

• Descriptive statistics

• Analyzing talk

• Categorizing and coding

• Measures of dispersion

Multiple Choice

Which are the ways of analizying the data?

• Quantitative and Qualitative

• Reshape and recognize

• Trials-and-errors