Techniques of Analyzing Data

commit to user 32 7. Documents In action research, documents are a readily accessible source of data as many already exist in the institutional system. The researcher used the syllabus and classroom material as the consideration in making lesson plan.

E. Techniques of Analyzing Data

In this research, the data collected are qualitative and quantitative data. The qualitative data was analyzed in five stages as mentioned by McKernan in Burns 1999: 156-160, while the quantitative data is analyzed by using statistic descriptive technique.

1. Qualitative data

In analyzing the data, the researcher conducted five stages described by McKernan in Burns 1999: 156-160. Throughout those five stages, constant checks must be made to ensure that it is the data, rather than one‘s intuitions or assumptions that are leading the analysis. The data provides the evidence for the statements or assertions that are made about the research insights or outcomes. Those five stages are described in detail as follow: a. Assembling the data First stage in the process of analyzing the data is to assemble the data that the researcher has collected over the period of the research. b. Coding the data After assembling the data, the researcher made categories or codes which can be developed to identify patterns more specifically. Burns 1999: 157 described coding as a process of attempting to reduce the large amount of data that may be collected to more manageable categories of concepts, themes, or types. It means that coding provides less clear cut when a researcher deals with the diary entries, classroom recordings, and open- ended survey questions. So, the researcher used this stage in analyzing the data from questionnaires. commit to user 33 c. Comparing the data Once the data have been categorized in some ways, comparison can be made to see whether there are relationships and connections between different sources of data. In this step, the researcher dealt with the occurrences, behaviors, and responses. d. Building interpretation There is the point when the researcher moved beyond describing, categorizing, coding, and comparing to make some senses of the meaning of the data. In this stage, it is necessary to the researcher to think creatively as it is concerned with articulating underlying concepts and developing theories about particular patterns of behaviors, interactions, or attitudes have emerged. e. Reporting the outcomes As the last stage, it is the stage when the researcher presents an account of the research for others. A major consideration is to ensure that the report sets out the major process of the research, and that the findings and outcomes are well supported with examples from the data.

2. Quantitative data

In analyzing quantitative data, the researcher used the result of pre-test and post-test. Then, they are analyzed to show the achievement of the data. The means of each test can be used to prove whether or not teaching writing skill using mind mapping and peer- editing can improve students‘ writing skill. The mean of pre-test and post-test can be calculated with the following formula: N y y _ N x x _ commit to user 34 In which: _ x = means of pre-test score _ y = means of post-test score N = number of pairs Sudjana, 1996: 67 commit to user 35 CHAPTER IV THE RESULT OF THE STUDY This chapter deals with how the research was implemented. Some findings and discussion about the use of mind mapping and peer-editing as the techniques to improve students‘ writing skill are described in this chapter. The research is conducted in two cycles. Each cycle consists of series of steps, namely identifying the problems and implementing the action research which divided into four stages, planning the action, implementing the action, observing, and doing reflection and revising the plan. The explanation of the result of the study described in this chapter is broken down into two sections, namely research finding and discussion.

A. Research Finding

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