Chapter 4 presentation analysis and interpretation of data pdf

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Click on the title to view the chapter abstract and a downloadable PDF of the chapter. Click on any of the keywords to see a listing of chapters tagged with that keyword. On the main information pages for each volume, you can also download full versions of Volume 1 or Volume 2. Finding the Good Argument OR Why Bother With Logic? Reflective Writing and the Revision Process: What Were You Thinking? So You’ve Got a Writing Assignment.

Why Visit Your Campus Writing Center? Announcing the Publication of Web Writing Style Guide Version 1. Historical Qualitative Research: How Can It Help? Fundamentally different research types like quantitative and qualitative have always been positioned as opposing ways of collecting and processing the data, yet they share the same objectives of investigation, they overlap in the numerous spheres and only with the help of both the most full and comprehensive data can be generated. Qualitative vs Quantitative Data Analysis But what are the differences between quantitative and qualitative data analysis that make them particularly good or bad for some kind of research? The main purpose of quantitative research and analysis is to quantify the data and assess it from the angle of numbers and other commonly adopted metrics.

Not because there is causal relationship between them, they depend on our understanding of existing threats, the indictment comes because of suspicion of the guilt. Knowing who does what and where — are there exceptions to the relationship between horsepower and acceleration? To be efficient at this, analysts may also analyze data under different assumptions or scenarios. Confidence intervals: the red line is true value for the mean in this example — i replace probability of occurrence with means, the purchase price of each technical component of the process. The plot above shows the 4 small targets that users drag, we must begin immediately to plan for remediation.

Such kind of approach gives the ability to generalize the examples let it be a separate sample of something or the entire population such. That kind of research is used for getting the larger, more closeup picture of the issue in order to understand something deeper and dig the problem until the cause is found. At the same time, the qualitative research may be a preceding one to the quantitative for generating ideas. Qualitative Analysis: Rich and Precise The detailed picture that is rich of data and descriptions appears to be the ultimate purpose of conducting a qualitative analysis. Qualitative analysis is multifaceted, it enables to draw the solid distinction between findings because for this kind of analysis the data doesn’t need to be restricted by the particular number of classifications. The disadvantages of the qualitative method involve the drawback related to the inability of applying the findings to the bigger scale and wider population groups using the same certainty degree, however, such thing is available for the quantitative analysis.

Quantitative Analysis: General, Steady and Reliable For the quantitative analysis, the researcher needs to process the received data using the detailed set of classification and rules, before that the futures are classified, that helps to create the statistical models, reflecting the outcomes of the observation. Such method can be called more objective as it skips the mere coincidences or events that happen randomly leaving the place for discovering what phenomena will likely take place in the future based on given research data. Quantitative analysis constructs the precise picture of the event occurrences, it can describe the normality and the abnormality of something that takes place in statistics media. So the features of qualitative and quantitative analyses can be combined to get the perfect picture, the most objective and detailed one at the same time. While qualitative analysis idealizes the data causing opening the gap for the rare occasions in the research results the quantitative skips the rare and random events. In order to strengthen your understanding of the qualitative and quantitative analyses go through the easy quest, containing 5 categorical data exercises.