毕业论文格式:评估研究中使用的数据分析策略

毕业论文格式:评估研究中使用的数据分析策略

评估研究中使用的数据分析策略。这里使用的数据分析策略不涉及模型或框架。数据分析更具描述性,利用二手数据对原始数据进行批判性分析。数据分析的目的是确保所收集的原始数据转化为有意义的信息,从而回答研究目标。数据分析可以是非统计的。这是一种定性的分析方法,根据研究者的判断和解释(模块4)对数据进行分析。或者,在定量方法中,数据分析是统计的。在这两种情况下,也可以结合次级研究数据进行数据分析。数据分析所遵循的结构化方法是陈述假设、显著性水平、测试统计、决策规则、测试静态计算和假设接受和拒绝(用于定量研究)。本文采用定性非统计数据分析技术。考虑到调查问卷收集的大量数据分布在53个项目上,一个更量化的研究可能会更好。分析主要是描述性的。数据和相关性以表的形式表示。图表和更详细和比较的数字将有助于读者理解原始数据是如何分析的,以及它如何有助于实现研究目标。

毕业论文格式:评估研究中使用的数据分析策略

Appraise the data analysis strategy used in the research.The data analysis strategy used here does not involve a model or a framework. The data analysis is more descriptive and makes use of secondary data in order to critically analyze the primary data. It is the purpose of data analysis to ensure that the raw data collected turned into meaningful information such that the research objectives are answered. Data analysis can be non-statistical. This is a qualitative approach to analysis where the data is analyzed based on the judgment and the interpretation of the researcher (Module 4). Alternatively, in the quantitative approach, the data analysis would be statistical. In both cases, data analysis could be carried out in conjunction with secondary research data, too. A structured approach followed in data analysis, is by stating hypothesis, the levels of significance, the test statistics, the decision rule, the computation of test static, and the hypothesis acceptance and rejection (for quantitative studies).A qualitative non-statistical data analysis technique has been made use of here. A more quantitative study would have been better, given that the questionnaire collecting large amounts of data spread out over 53 items. The analysis is mostly descriptive in nature. Data and correlations are presented as tables. Graphs and more detailed and comparative figures would assist in reader’s understanding of how the raw data is analyzed and how it helps to achieve the research objectives.