How to do Effective Data Analysis in the Research

Data analysis Data analysis is the close and detailed examination of the data collected in the research process. It is done to describe, condense and evaluate the data. Analyzing the data helps in identifying the relationship between different variables of the research(Research Methodologies Strategies Assignment Help). Inductive inferences are made by using different data analysis methods.

Methods of data analysis Data is analyzed qualitatively and quantitatively. Qualitative analysis focuses on the subjective information gathered from the collected data uncovers the trends in thoughts and opinions of the people investigated (Dissertation Writing Services). Whereas quantitative analysis is used to explain, understand and interpret numeric data by using statistical and mathematics methods. Data analysis ranges from low to high in terms of time, costs, knowledge and complexity. An effective data analysis is done by different approaches such as descriptive, exploratory, inferential, predictive and casual (How to Make Research Questionnaire for the Data Collection). Descriptive approach: It is used to describe the features of data and summarizes it in a meaningful way. It brings an understanding about the data by simply describing what is and what the data shows. Exploratory approach: By using this approach the researcher will be able to discover new insights into the data. It is also useful to get information about the past connections of the data. Inferential approach: The data collected is analyzed and conclusions are drawn under this approach. For example if the data collected shows the ratio of male and female in a sample then the conclusion should be made on whether there are more number of males or females in that sample. The opinions should also be given for balance the ratio. Predictive approach: Current data is analyzed to make predictions about events, outcomes and future trends. Statistics, artificial intelligence, machine learning and data mining are the techniques to estimate the future happenings. Casual approach: It is used to check what happens to one variable if other is changed. It explains the cause and effect relationship between two variables (Data Collection to Human Resources).