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Last updated on 13th December 2020 by Ayla Myrick
The purpose of this chapter is to summarize the collected data and the statistical treatment and / or mechanics of the analysis. The first paragraph should briefly repeat the problems taken by chapter 1. Explain the object of each experiment, the question or objective, show exhibition provision, and present these results through table, figures or other form of combined data. Choose carefully tables and numbers. Some studies are easier to defend if all raw data is in this chapter. Some are better when the majority of the raw data is in an attachment.
In a quantitative study, the results usually begin with a description of the sample (eg pattern size, description of the participants excluded and why, handling lack of data). Next, descriptive statistics (eg frequencies / percentages for categorical variables, means, standard deviations and areas for continuously measured variables) are displayed.
The normality of continuously measured variables is normally displayed. Address each hypothesis in turn and present a description of the analysis calculated to address each hypothesis and results of this analysis. Determine if the null hypothesis has been rejected.
Do not repeat yourself in lengthy prose, which is obvious that a knowledgeable peer looks at a glance at a glance. The dissertation advisor usually has an opinion on the level required in this chapter. Table titles and captions should be understandable without reading the chapter text. Note all the relevant results, including those who were the alternative hypotheses against the alternative hypotheses, or those tend to distract from clear provisions.
Create explanations of the results without implications, speculation, evaluation, evaluation or interpretation. Sometimes the results and discussion are combined into a chapter, but generally separate the results and conclusions and discussion.
In a qualitative study, the results often include many quotes from participants interviewed.