Tuesday, December 31, 2019

Data Analysis Method - 974 Words

Throughout our observation week we were able to collect vast amount of data both from observations and interviews. In order to let our data speak to us and help us to understand how the collaborative work is conducted between ITB and Royal Danish Library we have adopted grounded theory method as a main data analysis practice to work with. This decision involved summarizing cons and pros of using this approach. According to Glaser, Barney G Strauss (1967), using grounded theory involves development of theory rather by logical deduction then from experimental data itself. The publication of The Discovery of Grounded theory finds it relevant in practical applications and enable prediction and explanation of behavior. As our field setting is not often overflown with different actors we have decided to unlock behavioral patterns and get insight also on the profiles of employees. By this approach we have enriched our data, by being able to see connection between artifacts and articulation work, that draws an implication of artifacts in collaborative work. Moreover we have observed that each artifact might have different purpose of use as it is observed by different point of views from different subjects.The fact that we were able to actually observe appropriation in collaborative work, which can be described such as an assimilation of technology by group of people in completely different manner as designer firstly intended to, made us to logically distinguish between differentShow MoreRelatedData Collection Method and Analysis Essay1318 Words   |  6 PagesIn order to provide the Australia Park Victoria with the appropriate data to solve its current crisis, the most appropriate method of data collection for this research is the qualitative method. 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Basically a list of categories. example: Lofland and Lofland s 1st edition list: acts, activities, meanings, participation, relationships, settings (in the third editionRead MoreStatistical Methods Used for the Analysis of Data2053 Words   |  8 Pagesdiscuss in this paper one of statistical method used for analyzing data using time to conversion as a dependent variable, its called survival analysis, also it has many names such as event duration analysis, transition event analysis, time to event analysis, failure analysis and other, Definition of survival analysis: There are many definitions for survival analysis I will mention some of them that can clarifying the meaning, in general it’s a set of statics methods dealing with time as a variable untilRead MoreData Analysis Of DNA By The Standard Crystallographic Method842 Words   |  4 Pagescrystallographic method, using a colorless plate crystal (0.028 Ãâ€" 0.034 Ãâ€" 0.046 mm3) of 2 for single crystal data analysis. All the data were collected using a Bruker SMART BREEZE diffractometer equipped with a 1K CCD area detector using graphite monochromated Mo KÃŽ ± radiation at 200 K. A hemisphere of data was collected using a narrow-frame method with the scan widths of 0.30 ° in omega and an exposure time of 5 s/frame. The first 50 frames were remeasured at the end of the data collection to monitorRead MoreQualitative Data Analysis Methods: Interview With a Respondent1515 Words   |  6 PagesQualitative data analysis Interview This is an interview between the respondent who is conducting a qualitative research and a 20 year old white individual who is unemployed and hence lives the lifestyle of the lower end in the society. The interviewer generally asks leading questions and notes reactions or responses from the interviewee and also builds on the answers given by the respondent to ask other questions that help him extract more information outside the structured leading questionsRead MoreData Analysis Methods Used in Quantitative Research.4348 Words   |  18 PagesDEFINITION: Quantitative methods are research techniques that are used to gather quantitative data — information dealing with numbers and anything that is measurable e.g. Statistics, tables and graphs, are often used to present the results of these methods. Quantitative research methods were originally developed in the natural sciences to study natural phenomena. However examples of quantitative methods now well accepted in the social sciences and education. Differences between parametric and

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