Data Analysis and Findings

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Data analysis and findings chapter is the core of your research paper and ineffective results can considerably affect your research quality. Data analysis is termed as a process of cleaning, converting and modelling of data to find out useful information for decision-making. Researchers use this process to reduce data into a story and interpret it to gain insights.

 

Process of data analysis helps in minimising an enormous amount of data into smaller bits that give some meaning. Three key things occur during this process. First is, data organization followed by summarisation and categorisation to reduce data and find patterns for simpler identification and relation. Last is data analysis that can take place through a bottom-up or top-down approach. In short, data analysis and findings is a process to represent the application of inductive and deductive logic to the dissertation.

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Why Data Analysis?

When doing research work, data collection, organization, analysis and its interpretation is very crucial. This chapter helps in testing the hypothesis and interpret the results. It defines the statistical processed used to test the hypothesis along with qualitative analysis techniques used to analyse the responses collected. As Gay stated, analysis of data is critical as any other element of the research process. Irrespective of how effectively the study is carried out, unsuitable analysis can result in ambiguous or biased results and conclusion, which can affect the quality of the entire research.

Data Considered in Analysis and Findings Chapter

Every type of data has the quality to describe things after giving it a specific value. Data can be in various forms and the most common data used are qualitative and quantitative data.

 

Qualitative Data

Qualitative data are presented using descriptions and words. Even though one can observe this data, it is subjective in nature and difficult to analyse in research, particularly when used for comparison. This data is generally collected through personal interviews, focus groups or open-ended survey questionnaires.

 

Quantitative Data

Quantitative data on the other hand is expressed in numerical figures and can be categorised into grouped, categories, calculated, measured or ranked. This data can be presented in form of charts or graphs or statistical analysis techniques can be applied to it. Outcomes Measurement Systems questionnaires in the survey approach is an effective way to collect numerical data.

Effective Tools For Data Analysis

Different data sets require different tools for analysis. Common methods used to analyse qualitative data include content analysis or discourse analysis. Most frequently used qualitative analysis tool is content analysis. This tool analyses the documented information from images, text and physical items. On the other hand, discourse analysis is used for analysing the interactions with individuals. This approach considers the social context in which interaction between the research and participant takes place and focuses on the environment when coming to any conclusions.
In case of quantitative data, researchers can use different methods to derive meaningful insights. The most favoured approach to analyse quantitative data is statistical analysis. Two kinds of statistical analysis can be conducted – descriptive analysis to describe the data using tools like SPSS and inferential statistical analysis to compare the data.

Tips to Write an Effective Data Analysis and Findings Chapter

Writing a data analysis and findings chapter is not an easy task. Following tips should be considered when writing your data analysis chapter:

Screening

You should have the knowledge to separate useful data from the abundant data you have. When researching, you will come across a lot of information, all of which might not be useful. You need to separate data that is critical to your study.

Relate to Literature Review

It is important to link analysis and findings chapter to your literature review. This allows your readers to get a perspective of how effectively your research is connected to the ones that have previously been conducted in the similar field. If you relate these two chapters effectively then your research is probably highly reliable and would gain a lot of attention.

Discussion

You should not keep your discussion part in your analysis section to help readers get your opinions on the findings of your study, the contrasting views of authors and relation of results with previous studies.

Diligence

A key point is to present the data in a structured and coherent manner. Presenting only data is not self-explanatory. You need to express the data and explain the findings to the readers in a meaningful manner.

Presentation

Data can be presented using vidual aids, charts and graphs to gain the attention of the readers and easily explain them the findings. Just putting the data into tables and sheets does not communicate its meaning effectively. Using charts and visual aids helps readers understand it better and present in an appealing manner.

Investigate

You need to offer a reason to use the data you have selected. This is where the data is analysed and validated for your study.

Difficulty in Writing Analysis and Discussion Chapter

When attempting to write your own analysis and discussion chapter, students tend to face a lot of difficulties.

  • Lack of aptitude or skill to conduct analysis or use different analysis tools
  • Issue of choosing right type of data for the research study.
  • Unable to extract the true meaning and findings from the analysis conducted, thus giving unreliable results.
    • Inexperienced in relating the analysis and findings chapter to the entire research, thus not being able to generate precise results and conclusions.

Why students choose us?

Plagiarism Free Work

Our quality experts ensure that your work is of high quality and plagiarism-free. We make sure that our content is not copied from another source. We also ensure citing the source from where the content has been sourced.

Data Analysis Software

We have a pool of competent writers who can help you with data analysis using Nvivo, Excel and SPSS for apply various tests and formats of data analysis. We can help you complete the most important section of dissertation and help you enter into the final phase of writing.

Experienced Writers

We pride ourselves to have a pool of skilled and highly qualified dissertation experts that have the knowledge to complete data analysis chapter efficiently. Our team of experienced writers ensure that the results are established and supports claims with arguments. We assure you that the data is well presented using visual aids and charts along with words to present the findings of the results. We explain the strategies and tools used to collect the data and present the results in suitable formats. Our writers also indicate the importance of results and draw meaningful conclusions.