Gathering the data for the dissertation is a major headache for most scholars. Having gotten the huge volume of data that they can play around with; getting the guts to analyze and bring results out of their data poses a bigger headache. If you are in that category, we have your back covered because we shall dwell on how to analyze both the qualitative and quantitative data and yo; they can go on to pick the area that concerns your research interest to achieve expected results in your custom coursework writing.

## How To Write Quantitative Results

There are two variables involved here-the the dependent and independent variables. Each of the two should be well defined and stated whether they are categorical or continuous. If you can separate the two and put them in the outline that they are supposed to belong to; it goes all the way to help in writing the results section in the easiest way possible.

## The Descriptive Frequency Statistics

Before going into the process of testing your hypothesis, there is a need to describe your descriptive frequency statistics. If the variable is continuous, you are expected to use descriptive statistics. If you are at a loss as to how it will work out; you can go online and look at various measures drawn from past works of scholars that you can study and follow the template to get through this section.

## Results Of Correlation Activities.

Let us start by reporting the reports of particular statistical tests with events that are correlated to each other. This is used to prove that two or more continuous variables are related to each other. Various reports are carried out here and one such is to establish if they are normally distributed.

## Regression Analysis

This is more complex when compared to correlation activities. There are some specific points to be addressed in other to ensure that all assumptions were correct.

## Chi-Square Analysis

The duo of correlation and regression is done when if the variables involved are continuous. If all the variables are categorical; then a chi-square analysis will be done. When the results are to be reported, a table should be made to effectively analyze such reports.

## Reporting t-test Analysis

This is done to determine the magnitude of the differences that existed between two different groups of participants.

## One-Way ANOVA

This is used when we are to compare more than two variables. It is used to separate, for instance, a categorical independent variable from a continuous dependent variable.

## Results Of ANCOVA

This is used to test the effect of categorical variables on the continuous dependent variable. Reporting the results will require the use of subject effects drawn in your table.

## Results of MANOVA

This is the last test for mention and it can be used to determine the differences if any between differences between independent groups and more than one continuous dependent variable.

## Writing Your Qualitative Results

The following highlights must be borne in mind while undertaking the process of writing your quantitative result:

Understand the basics of your research

Report the results of interviews reporting the results of observations

Reporting the results of focus groups