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Thesis Data Analysis

In thesis paper writing, the process of examining, changing, and representing data refer to data analysis that helps in obtaining information, supporting hypothesis, proposing conclusion, and making sustainable decision. In thesis paper writing, data analysis is executed according to the type of data, which is of two types qualitative and quantitative and their analysis methods known as qualitative analysis and quantitative analysis respectively.

Qualitative Data Analysis Method

Qualitative data analysis method involves noticing, collecting and thinking about the qualitative data that is collected for research purpose. Thus, the process of qualitative data analysis can be outlined as follows:

  • Noticing or Observing
    Noticing or observing is the first step of analysis in which record of the data is produced during or after the stage of data collection. For this, students need to observe, conduct interviews, write field notes, and collect documents. In noticing, the coding is another part of it that is used as a tool to facilitate finding and further examination of the collected data.

  • Collecting or Gathering Data
    In this step, students need to sort the data or information they notice. The process of collecting data also involves shifting, naming, and categorizing the collected data through close examination.

  • Thinking or Examining
    In thinking or examining step, students need to examine the collected information to make sense out of each collection, which needs to find the samples and relationships between collections to make common findings about the phenomenon.

Quantitative Data - Analysis Method

Quantitative data analysis method is useful for simultaneous analysis of both quantitative and qualitative data. Although, quantitative data consists of statistical or computational information therefore, to perform quantitative analysis, student should have the understanding about statistics or finance. This method involves data integrity testing, descriptive analysis, comparison, reliability testing and relationship or prediction.

  • Data Integrity Testing
    It is the first step, in which students should have understanding about checking validity of the conducted data through computer or manual.

  • Descriptive Analysis
    In this step, descriptive statistics are used to describe the location of distributions. In order to perform this analysis effectively, students must be aware of measures of tendency (mean, median, mode), and measure of dispersion (range, standard deviation and percentiles).

  • Comparison
    This step occupies the cross-tabulation and comparison of information between target groups where sample sized existed. For this purpose, software can be used such as ANOVA and SPSS therefore, students must aware of using statistical software.

  • Reliability Testing
    In this step, reliability of the questions is measured by calculating numbers and figures, which is known as Cronbach's coefficient alpha. Thus, students should be aware of using this alpha because it reflects homogeneity of the scale.

  • Relationship or Prediction
    This process is concerned about the preference either or not a correlation exists between variables of significance. In this process, Pearson product-moment correlation coefficient is used to indicate the potency of alliance between two different variables.

Taking the benefit of given information to analyze data and to complete thesis successfully. Alternatively, you can buy the thesis data analysis service of Thesis Writing Help and get the completely customized and professional thesis paper as per your certain requirement.