Data Analysis Services for Masters and Doctoral Students

High-quality masters and PhD data analysis services are essential in helping scholars to establish meaningful insights and implications of the information gathered during research. Both quantitative and qualitative data must be critically analyzed to answer the research questions and achieve the objectives of a PhD dissertation or thesis for a master's degree. The professional analysts and statistical consultants in our company provide excellent service for both qualitative and quantitative information, depending on the clients' needs.

We have experts for both statistical and qualitative data analysis services who can help a master's or PhD student successfully complete their papers. This article provides information on the factors our masters and PhD data analysis experts consider in both qualitative and quantitative analysis.

The Importance of Outsourcing Statistical Analysis of Data as a Masters or PhD Student

 

Dissertation and thesis data analysis forms the basis for developing the papers and establishing accurate, valid, and reliable findings of a research project. Not only are the findings important in academics but also in real-world applications. Research shows that it would only take a 10% increase in data accessibility for a fortune 1000 enterprise to get net additional revenue of 65 million dollars. Moreover, about 62% of retail enterprises were found to have gained a competitive advantage from data analytics.

Our data analysis company with a team of experts in the research industry helps PhD and master's degree students to correctly scrutinize their collected information and draw inferences and significant insights. We ensure optimum validity and reliability of the research findings by running the correct statistical test on the collected data and properly interpreting the results.

The following are some of the advantages of contracting our masters and PhD data analysis services.

• We can help graduate students and researchers lay the foundations for their projects right from the topic selection stage, throughout the data collection and analysis, to writing the conclusion and recommendations.
• Our statistical consultants possess excellent research backgrounds and prowess in various packages for correct analysis of data and interpretation of the findings.
• We offer the best master and PhD data analysis help with comprehensive and readily available customer support and guidance for both qualitative and quantitative research.
• The dedicated data analysts in our company ensure complete accuracy and efficiency of research results, leaving no room for bias.
• We continually support clients in choosing the most suitable statistical analysis approach for their collected data to produce correct, reliable, and valid results to answer the research question.
• Considerate pricing that is amicably agreeable between the clients and the company.
• The analysis and findings are presented in a professional academic language with no flaw in writing mechanics.

A PhD student may not have the knowledge or resources to conduct effective data analysis for their dissertations. They should, therefore, consider hiring someone to analyze data for master or PhD level on their behalf to avoid compromising the accuracy, validity, and reliability of the findings.

Factors we Consider When Analyzing Data for PhD Dissertation or a Master’s Thesis

 

Data analysis gives the foundation for a dissertation or thesis. It is, therefore, essential to ensure an error-free process to enhance the validity and reliability of the research results. Our experts in masters and PhD data analysis are conversant with the statistical tools and tests that are run on collected data to produce reliable and accurate results. We have PhD thesis and dissertation data analysis experience in different subjects.

Below are some of the factors that our masters and PhD data analysis experts consider when working on both qualitative and quantitative information.

1. The analytic objectives

Before establishing our data analysis plan, we ensure that the objectives of the process are clearly defined. The objectives are influenced by the research question that the dissertation or thesis seeks to answer. For the effectiveness and efficiency of the process, our statistical consultants identify the practical and analytic purpose of the data analysis.

The PhD or master's student could be intending to find solutions or develop an intervention for a particular situation in their practical purpose or identify, explore, or explain a particular phenomenon with the data analytics. Graduate students who may find the process overwhelming should consider hiring someone to analyze data for master's or PhD level to ensure they get the correct, valid, and reliable results. We ensure that the analytic purposes clearly synchronize with the objectives of the study.

2. The research questions to be answered

The statistical analysis services should provide answers to the research questions that the dissertation or PhD thesis seeks to answer. We are, therefore, keen to review the questions and objectives before embarking on the data analysis to have a refreshed understanding and focus on what needs to be answered.

3. The timelines for submission of the PhD dissertation or thesis

How fast the findings from the data analysis are needed should be understood to plan on how to accomplish the task. Depending on the turnaround time agreed upon between our data scientists and the clients, we create a scheduled approach with target dates, prioritize, and execute the analyses accordingly.

4. Availability of resources and statistical tools for data analysis

The type of resources and tools required depends on the nature of data to be analyzed. Whether qualitative or quantitative research project was carried out, our masters and PhD data analysis services are offered by specialists with the knowledge and capacity to carry out the task with application of statistical tests and tools where necessary. Our team of data scientists ensures timely delivery of the research results.

5. The volume of the data set

The volume or size of the data set, especially in qualitative research, depends on the methods of collection used. In the case of large data sets, we subdivide them into separate analyses and equate each to a specific output to ease the process. In addition, we know how to prioritize the analyses depending on their importance and time requirements.

6. Heterogeneity of data types

Different types of data may be available depending on the collection methods used by the masters and PhD students. One may, therefore, be required to integrate both quantitative and qualitative data analysis. All the activities carried out in our master and PhD data analysis services are meant to deduce meaningful insights and significant answers to the research questions. Even with the most complex quantitative data, our experts know how to use structural equation modeling to analyze and measure relationships between variables, especially in social sciences. In addition, we have vast experience in statistical modeling techniques of analyzing data such as regression models. We can handle all statistical data analysis needs to produce accurate results that are valid and reliable.

7. The target audience for the data analysis

When analyzing data for master or PhD students, we must have in mind the type of target audience and how they are likely to judge the process and the findings. The student may be presenting a PhD dissertation or a master’s thesis before a university panel for conferment of a degree whereas others may be targeting publication on a particular journal.

The responsibility of ensuring that the project meets the standards of the target audience, especially for peer-reviewed journals, rests in the hands of our data scientists. No matter who the target audience may be, we offer the best master and PhD data analysis help for successful dissertation defense and submission to a journal of interest, ensuring that the results and outputs match their preferences and specifications.

8. Analysis plan

After ascertaining the desired view, quality of data, the time, and resources available to complete the analysis, we formulate a plan that can guide us through the process. In the plan, we specify the objectives to be achieved and whether to divide the process into separate analyses. For each separate analysis, we establish the research question it should answer, the type of data to be used, primary analytics objectives, integration of different types of information, and the expected outputs among other relevant guidelines.

9. The analytical approach

The analytic approach depends on the type of data collected by the masters and PhD students. If the data at hand is qualitative in nature, we use descriptive, diagnostic, exploratory, explanatory, predictive, or confirmatory analysis depending on the type of research question to be answered. For quantitative analysis, statistical methods and tools are used accordingly.

Some of the factors we consider during a statistical data analysis include:

a). The number of variables involved in the study

Depending on the number of variables involved, our statistical analysis services ensure the application of different techniques. We know how and when to perform univariate statistical analysis including the t-test for significance and Analysis of Variance(ANOVA), among others; and multivariate approaches.

b). The type of data collected by the master or PhD student

The type of data may be continuous or discreet. We choose the most appropriate method of statistical analysis depending on the data at hand. Nevertheless, our data analytics experts understand how and when to use the mean, standard deviation, regression, t-testing, or sample size determination techniques to bring out meaningful insights from the masters or PhD data set.

c). The research question

Understanding the research question is fundamental to reestablishing how it can be answered. We must understand whether we are testing the relationship between variables and what one needs to know from the data. The nature of the research question determines the type of statistic to use, including regression, correlation, factor analysis, and any other relevant techniques.

d). The goal of the research and whether it will be published

For a PhD dissertation or a master's thesis whose main goal is teaching the students, we ensure that it complies with the requirements given by the learning institution and all the relevant regulations. If the paper is to be published, the data scientist has to conduct a thorough analysis that matches the standards of the particular submission journal. The scientific results obtained from the statistical analysis must be accurate, valid, reliable, and replicable.

e). Availability of statistical tools, software, time, and other resources for data analysis

We have the tools necessary to facilitate and simplify the data analysis process, including the Statistical Packages for the Social Sciences (SPSS) and excel. Our masters and PhD data analysis services are organized into a seamless process regardless of the volume of information or the timelines. We use the necessary tools to obtain accurate results after running the appropriate tests on the collected data.

f). The capacity to conduct and interpret the statistical analysis

We are proficient in data science and have the capacity for correct interpretation of results for real-world applications. Every data analyst in our company has a clear understanding of how to use statistical tools to obtain accurate results, the type of tests to run on the data, and how to interpret the analysis outputs. Students who are pursuing a master's or PhD can reach out for help from our data consultants in case of any difficulties during analysis. Most of the analysts we have are well-trained in computer science with excellence in the application of the SPSS on big data to obtain accurate results. Those who would like to purchase master and PhD data analysis services can rest assured of the best results and value for their money when working with us.

g). The expectations of the target audience

The target audience for the research depends on whether it was conducted to primarily complete the dissertation or thesis, or in pursuit of a career in scientific publishing of journal articles. Either way, whether our client's target audience includes the reviewers, academic supervisors, or the evaluation committee, our masters and PhD data analysis services help graduate students to meet the requirements and expectations, creating the desired impression.

10. Data issues and limitations

In order to identify data issues such as unequal sample sizes, missing information, and truncated distribution among others, we first conduct exploratory descriptions before deciding which method of analysis to use. Understanding the possible limitations and data issues informs whether to use a correctional method or change the analysis approach altogether. The data should be relevant for the analytic objectives and of good quality to produce accurate and reliable results.

All these factors make our data analysis services comprehensive and thorough to produce accurate and reliable results which can be replicated by future researchers. Therefore, graduate students who may find it difficult to examine and deduce meaningful insights from their collected information should hire our masters and PhD data analysis services.

The Steps we Follow in the Statistical Analysis of Masters and PhD Data

 

Statistical analysis of data for a dissertation or thesis can be challenging, time-consuming, and overwhelming to PhD and master's students. Our maters and PhD data analysis services relieve students of the burden and allow them to concentrate on other academic works. The following are the basic steps that we follow when conducting statistical analysis of data.

a). Selecting the correct statistical test to run on the collected data

Ph.D. and master's students may collect the best data but report the wrong findings owing to the selection of the wrong statistical test. We are, therefore, keen to select the correct statistical test after a careful examination and evaluation of the research question/hypotheses that need to be answered/tested, the research design adopted, and the type and nature of data at hand.

The research questions, hypothesis, and design explain what variables are involved and how one intents to measure them.

b). Preparation and analysis of data using relevant statistical tools and packages

At this step of PhD data analysis, we ensure that the information is keyed into the correct statistical package such as excel or the SPSS. Our statistical analysis services are offered by experts in computer science who understand what buttons to press in the SPSS, Excel, or any other applied package/tool to correctly run the desired test on the data.

c). The correct interpretation of findings from the statistical data analysis

Given that the SPSS program produces multiple tables of output through different methods of data presentations on its model viewer, an excellent understanding of how it operates is essential for the proper interpretation of the findings. The data scientists in our company portray the student as the thought leader in statistics by identifying which of the tables is important for the analysis and properly interpreting and communicating the findings to answer the research questions and test hypothesis.

These essential steps provide a roadmap for the effective analysis of collected data for the completion of a thesis or dissertation. We offer the best master and PhD data analysis help for students to feel confident during their thesis and dissertation defense. Our PhD data analysis services provide comprehensive solutions for both qualitative and quantitative research projects.

We are available online through our website for all data analysis needs. Our online program, effective customer support and care, complaints handling policy, and availability of data analysts all the time make us the most preferred company for effective masters and PhD data analysis services.