Data analysis in Action Research mainly helps in

• Collecting information

• Interpreting and understanding collected data

• Planning the intervention

• Writing the research report

Which of the following is an example of quantitative data?

• Students’ opinions about teaching method

• Classroom observation notes

• Test scores of students

• Teacher’s diary reflections

Coding and categorizing is mainly used in analyzing:

• Quantitative data

• Qualitative data

• Both qualitative and quantitative data

• None of these

The main purpose of data analysis is to:

• Collect maximum information

• Summarize, interpret, and draw conclusions

• Prepare lesson plans

• Write references

Which of the following tools is most suitable for analyzing quantitative data?

• Graphs and percentages

• Coding of responses

• Thematic analysis

• Content analysis

In Action Research, data analysis is important because:

• It makes research lengthy

• It provides evidence for decision-making

• It avoids collecting data

• It replaces the reflection stage

Which of the following is the first step in data analysis?

• Reflection

• Organizing data

• Drawing conclusions

• Writing report

Thematic analysis is mainly used for:

• Graphing numerical data

• Analyzing qualitative responses

• Calculating averages

• Preparing attendance sheets

In Action Research, data analysis is directly linked to:

• Observation phase

• Planning phase

• Reflection phase

• Reporting phase

The main purpose of data analysis in Action Research is to

• Increase the number of students in class

• Convert raw data into meaningful information

• Avoid the need for data collection

• Make research longer