A STEPS IN QUALITATIVE DATA ANALYSIS.pptx

STEPS IN QUALITATIVE DATA ANALYSIS

1. DATA ANALYSIS IN QUALITATIVE RESEARCH ALI DJAMHURI

2. Three analysis strategies Preparing and organizing the data for analysis Reducing the data into Themes through process of coding and condensing the codes Alternative example or as supplementary steps are: Writing marginal notes, Drafting summaries of fieldnotes Noting relationship among the categories as well as toward theoretical point of view Representing the data in figures, tables, and / or discusson (narration)

3. Generaldata ANALYSIS BY AUTHORS Analysis Strategy Madison (2005) Huberman & Miles(1994) Wolcott (1994b) Sketching ideas Write Margin notes in fieldnotes Highlight certain information in description Taking Notes Writing Reflective passage in Notes Summarizing Fieldnotes Draft summary sheet on fieldnotes Woirking with words Make metaphors Identifying Codes Do abstract coding or concrete coding Write code memos

4. Generaldata ANALYSIS BY AUTHORS (CONTINUED) Analysis Strategy Madison (2005) Huberman & Miles(1994) Wolcott (1994b) Reducing codes to themes Identify salient themes or patterns Note patterns and themes Identify patterned regularities Counting frequency of codes Count frequency of codes Relating categories Factor, Note relations among variables, build a logical chain of evidence Realting categories to analytic framework in literatures Contextualize in framework from literature

5. Generaldata ANALYSIS BY AUTHORS (CONTINUED - 1) Analysis Strategy Madison (2005) Huberman & Miles(1994) Wolcott (1994b) Creating Points of view For scenes, audieence, and readers Displaying the Data Create a graph or pictureof the framework Make contrast and comparison Display findings in tables, charts, diagrams, and figures, compare cases,compare with standards (criteria or theories)

6. Representing Visualizing Describing, Classifiying, Interpreting Reading, Memoing Data Managing Matrix, Trees, Propositions Context, Categories, Comparisons Reflecting, Writing notes across questions Files, Units, Organizing Procedures Examples Accounts Data Collection DATA ANALYSIS SPIRAL (CRESWELL, 2007)

7. DATA ANALYSIS IN CASE STUDY Direct Interpretaation Looking at Single instance and drawing the meanings from it without looking for multiple instances Looking patterns and correspondences Getting similarities and differences from data Categorical Aggregation Seeking a collection of instances from the data and trying to get relevant issuess that may emerge the meanings