Data Analysis: The Easy Way Out

Introduction

Data analysis is an important component of any research work, although, at the same time, it can be highly frustrating and also challenging to perform. Whether you are following quantitative or qualitative research methodologies, a student or teacher needs to have an idea regarding the common challenges you may face in data analysis and how they can be avoided. Therefore with this blog, we will look into some of the challenges related to data analysis, that the students actively face, teachers and researchers and how these challenges can be settled. 

Different data analysis challenges and strategies to overcome them

• Defining the research question

Before starting the data collection process and its analysis, it is important to formulate a particular research question that will help in providing a direction for the research. A research question that is vague or broad can be confused. Irrelevant data collection and inconsistency. Therefore, for defining the research it is important to conduct a detailed review of the existing research, identify the gaps, and make a hypothesis that can be structured or tested for a highly focused research question. 

• Selecting the appropriate Data analysis technique 

Based on the research question, type of data used and design of research, you will be required to select the process of data collection that is most suitable for the project. There are different types of methods and techniques for data analysis such as descriptive statistics, thematic statistics, inferential statistics, thematic statistics, content statistics and others.  As there are different types of techniques and analyses presented, it is important to know the strengths and weaknesses of each of these given statistics, and how they align with the assumptions and research questions. 

• Ensuring validity and quality of data

One of the most important challenges in data analytics is ensuring the validity and quality of the data used in the project or research. The quality of the data will be analyzed based on completeness, preciseness, and consistency of data. On the other hand, validity of data will be evaluated based on the degree to which the data can be measured, and what it is likely to measure. Therefore to ensure the quality and validity of data it is important to follow ethical and rigorous procedures during the process of data collection, check the data for errors, and outliers, and make use of the right technique for transforming and cleaning data. 

• Communication and Interpretation of the Results

As following the data analysis process it is important to interpret and convey the findings of the report in a clear and meaningful manner. This showcases that it is important to highlight the key findings from the analysis, showcase its importance, and indicate the importance while providing recommendations for the analysis. It is also advisable to make use of appropriate graphics like tables, figures, and charts to present the results making it easy for the target readers to interpret and understand. It is also advisable to follow the rules of citation and formatting as per your domain, in the university or target journal. 

• Avoiding Bias and Errors

Another major challenge in the process of data analysis is circumvented error and bias in the analysis. As there may be chances that the data analysis will contain errors and bias, it impacts the validity and reliability of the findings, leading to misleading and incorrect calculations. Errors and bias could arise from various sources such as data entry, measurement of sampling, data analysis and data interpretation. Therefore to make sure that findings are free of errors and bias. Knowing the possible errors, utilize the appropriate methods for measurements and samplings, making use of extensive techniques for data analysis and checking for assumptions and errors.

• Review and Feedback

One of the best ways to improve your skills and talents in data analysis is to identify the common challenges in data analysis and review or get feedback from other research experts. Feedback and peer reviewing are very helpful in the identification and rectification of gaps, weaknesses, or errors present in the data analysis and interpretation. Peer reviewers and experts also help in providing practical and novel insights, recommendations, and viewpoints to further improve the analysis. Feedback can be received from supervisors, colleagues, mentors or peers who function within the same discipline or domain. 

• Outsourcing the data analysis

Lastly, could also totally bypass the data analysis process. However, it does not mean that you can eliminate the data analysis process from the research. However, you can make use of the easy way and outsource the data analysis process. Scholars and researchers around the world are known for outsourcing the data analysis process to individual statisticians or popular outsourcing institutions such as The Assignment Ninjas. The Assignment Ninjas are one of the most trusted and renewed names in the academic circles, providing the entire range of research services from data collection to data analysis to data interpretation. We have a team of professional experts who have a lot of time and experience in performing data analysis in various disciplines and research domains. With the help of The Assignment Ninjas, it will become a cakewalk to mitigate the challenges present in the data analysis and get assured regarding precious and accurate results.

Conclusions

When working as a researcher it is important to make yourself aware of the data analysis process and have the ability to perform it by your skills. However, it is also not a crime if you don't have the required skills to perform the data analysis process. All the universities around the world have encouraged the process of outsourcing the data analysis process to make the students learn and grasp the art of crunching numbers. Also, it is a known fact that researchers and students with the required skills are also outsourcing the data analysis process as it saves the time and effort required in the process. Therefore you can also make a wise choice by engaging the The Assignment Ninjas to fulfill your data analysis requirements and provide you with an opportunity to score big with ease.