data anlysis in action research (PowerPoint Presentation Sample)

DATA ANALYSIS TECHNIQUES IN ACTION RESEARCH
OUTLINE
* Action research
* Data analysis
* Types of data analysis techniques
* Frame work for data analysis
* references
ACTION RESEARCH
* Action research is focused on solving specific problems that local practitioners face in their schools and communities.
* It views your classroom or other work environment as a place to conduct research.
* In action research, practitioners in the local settings design and conduct the research study.
DATA ANALYSIS
* Data analysis is the process of collecting and organizing data in order to draw helpful conclusions from it.
* It is process making sense out of data.
TYPE OF DATA ANALYSIS TECHNIQUES
* There are three general types of data analysis
* thematic analysis
* content analysis
* discourse analysis
CONT...
* Thematic data analysis: Involves the analysis of themes that emerge from the data that has been collected.
* Content analysis: This is one of the most common methods to analyze qualitative data.
* It is used to analyze documented information in the form of texts, media.
When to use this method depends on the research questions.
Content analysis is usually used to analyze responses from interviewees.
CONT...
Discourse analysis,
Or discourse studies, is an approach to the analysis of written, vocal, or sign language use.
The objectives of discourse analysis are variously defined in terms of coherent sequences of sentences, propositions, speech, or turns-at-talk.
CRESWELL'S FRAMEWORK FOR DATA ANALYSIS
STEP1: ORGANIZE AND PREPARE RAW DATA FOR ANALYSIS
* Organize the data for analysis. You will need to transcribe interviews, scan material, type up your notes, and sort or arrange the different types of data.
STEP2:READ AND ENGAGE WITH ALL DATA
* Read all the data thoroughly. Get a general sense of the data and reflect on their overall meaning. You may have received an initial impression from the data collection, but make notes in the margins or spaces and record any other initial thoughts at this stage.
STEP3:CODE DATA
* Begin detailed coding and analysis.
* Coding organizes the material into meaningful chunks of text.
* When coding, think about:
* Code what is surprising.
* Code for the unusual which may be of conceptual interest to readers.
* You may want to hand-code the data, use highlighting colors, or cut and paste text segments onto cards.
* You may also use a computer software package to help to code, organize and sort the information.
STEP4: DETERMINE THEMES, CODES AND
DESCRIPTION
* Codes should be representative of the categories, topic, setting, or people that are part of the analysis.
* These will be supported with quotations and specific evidence form the data and may represent headings i