ANALYSIS AND INTERPRETATION Analisys means the categorizing ordering

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ANALYSIS AND INTERPRETATION Analisys means the categorizing, ordering, manipulating, and summarizing of data to

ANALYSIS AND INTERPRETATION Analisys means the categorizing, ordering, manipulating, and summarizing of data to obtain answers to research question. The purpose of analysis is to reduce data to intelligible and interpretable form so that the relations of research problems can be studied and tested. Ø Interpretation, takes the results of analisys, makes inferences partinent (berhubung dengan) to the research relations studied, and draws conclusions about these relations. The researcher who interprets research results searches them for their meaning and implication. Ø

Analysis consists of three concurrent flows of activity: data reduction, data display, and conclusion

Analysis consists of three concurrent flows of activity: data reduction, data display, and conclusion drawing. Data reduction, refers to the process of selecting, focusing , simplifyng, abstracting, and transforming the “raw” data that appear in written-up field notes. Data Reduction occurs continuously through-out the life of any qualitative oriented project. Data reduction do not necessarily mean quantification. Qualitative data can be reduced and transformed in many ways: through selection, through summary, through being subsumed, and so on. Sometimes it may convert the data into numbers or rank. Interpretation is done in two ways: l l One, the relation within the research study and its data are interpreted. Here interpretation and analysis are closely interwined. That is, when one calculate, say, a coefficient of correlation, one almost immediately infer the exsistence of a relation and draws out its significance for the research problem as one orders, breaks down, and manipulate the data. Two, comparing the results and inferences drawn within the data to theory and other research results. one seeks the meaning and implication between one’s ressearch result and conclusion either of one’s own or of other researchers. More important, one compares one’s result with the demands and expectations of theory.

n n Data Display, include many types of matrices, graphs, net-works, and charts. Conclusion

n n Data Display, include many types of matrices, graphs, net-works, and charts. Conclusion Drawing, is the analysist proceeds. It many be as brief as a leeting “second thought” crossing the analyst’s mind during writing, with lengthy argumentation and review among colleagues to develop “intersubjective consensus” or with extensive efforts to replicate a finding in another data set. In short, the meaning emerging from the data have to be tested, for their plausibility, their “confirmability”, their validity. Otherwise we are left with interesting stories about what happen, of unknown truth and utility.

Data collection Data display Data reduction Conclusion drawing Compenents of Data analysis: Interactive Model

Data collection Data display Data reduction Conclusion drawing Compenents of Data analysis: Interactive Model