Considerations When Seeking Help from a Professional Qualitative Dissertation Data Analyst
PhD candidates, qualitative researchers, and other scholars may need to get help from a qualitative data analyst for a dissertation to achieve research objectives and find answers to raised questions. Analyzing qualitative data requires expertise and skills in operating software such as Nvivo, MAXQDA, or ATLAS.ti. Those who provide qualitative data analysis services for dissertations and all other sorts of research data must have the relevant knowledge, skills, and expertise to use the most appropriate software, apply the right procedures and processes; and report the correct findings to the target audience.
When one decides to purchase qualitative data analysis consultation services, they must consider various factors before committing their work to a particular analyst.
The qualitative data analysis experts should understand the research process, sources, and how to use various software to break down the gathered information into meaningful and insightful data. This article contains the various factors to consider when opting to get help from a professional dissertation data analyst.
Qualitative research entails collecting data using methods such as focus groups, thematic or narrative analysis, grounded theory studies, and content analysis among others. Such data has to be analyzed to answer research questions and achieve defined aims and objectives.
To effectively conduct a qualitative analysis of data for a dissertation, one should understand the various methods used in collecting such data and the types of analysis services required for each format. There are various types of qualitative analysis software; with Nvivo being commonly used across subjects by researchers. Therefore, before deciding to purchase the services of an Nvivo expert, one should consider various factors such as:
1. Subject and type of qualitative analysis required
A qualitative study can be carried out on various subjects and industries such as sociology, psychology, music, business, and technology. Different types of analysis are applicable to qualitative data. Based on the extent of analysis required, an inductive or deductive approach can be used by a doctorate student to derive meaning from the collected data.
Simple and shallow analysis may not require qualitative data analysis consultation services whereas complex and detailed analytics may necessitate the help of a professional analyst. It is, therefore, essential to consider the type of data analysis required before deciding whether or not to purchase the services of an Nvivo expert for the dissertation.
2. The type of data analysis software the expert is trained in
Many PhD candidates and universities have the preferred software to conduct qualitative data analysis. One should be sure that the expert they wish to hire has the relevant training and expertise with regard to the preferred qualitative analysis software.
When seeking help with qualitative data analysis using Nvivo or any other preferred software from an expert, one should review the training, familiarity, and experience of the candidate with the tools to ensure they get the best help for the dissertation. The qualitative dissertation analyst should be familiar with the relevant stages of the data analysis process using common methods and software.
3. Structured Query Language (SQL)
Before deciding to purchase the services of an Nvivo expert, one should consider whether the candidates are well versed with the structured query language. The SQL is basic for analysts to effectively query the given data set. If the expert possesses excellent SQL skills, one can rest assured of effective data coding, processing, and updating using the specific software.
4. Excellent writing and communication skills
Having excellent writing and communication skills is beneficial when compiling research findings and conveying the report to the relevant target audience with efficiency and effectiveness.
Communication skills are also essential in case the analyst has to explain concepts or elaborate complex data or findings to a non-technical audience. Therefore, writing and communication skills should be given priority among the factors to consider when seeking help from a qualitative dissertation data analyst because they determine how effective the analysis, report writing, and the conveyance of the research findings can be.
5. Machine learning
Machine learning is among the current trends in the field of data analytics. Every data analyst today should have the ability and capability to create algorithms to identify possible patterns in big data sets. Machine learning gives a competitive edge to the analysts, positioning them as the first priority for consideration by those wishing to hire a qualitative data analyst for a dissertation, especially where complex analytics and operation of software are part of the job.
6. The credibility and reliability of the analyst
Before hiring a qualitative dissertation data analyst, it is prudent to determine whether they are credible and reliable enough to be trusted. Given the strict deadlines within which the dissertation may be required for submission, the data analyst should be reliable and available to perform the task within the set timeframes.
Checking the candidate's credentials, work history, and samples of what they have analyzed before can help in ascertaining their credibility. To get help from a professional dissertation data analyst, one should ascertain the expert's reliability, trustworthiness, reputation, and credibility to avoid receiving substandard results.
7. The data analyst's ability to pay attention to detail
Being attentive to details enables the qualitative data analyst to detect and identify the slightest clues and insights from big data sets. It enhances the efficiency and effectiveness of the processes involved in retrieving and sorting data. An analyst who is attentive to the most delicate details prevents the occurrence of errors in data coding which can compromise the entire process.
When seeking qualitative data analysis consultation services, one should consider experts who have the ability to pay attention to details to avoid mistakes that can lead to reporting the wrong or compromised research findings.
8. Cost of hiring the qualitative data analysis professional
When speaking help from a qualitative dissertation data analyst, one should consider the cost implications of outsourcing such services and choose what works within their budgets. The amount charged for the analysis services determines whether the expert is affordable to the students or not.
One should, therefore, consider the amount of money or time required to hire a data analysis professional to avoid straining. It is also imperative to determine whether the qualitative data analysis experts provide the client with a money-back guarantee in case they do not deliver on their promise.
9. Ability to logically visualize data
Data visualization skills help in presenting research findings in an engaging and compelling manner through charts, graphs, and diagrams among other methods. The best data analyst possesses the skills to creatively visualize information using eye-catching graphs, tables, and charts to make the work more understandable to readers and target audiences.
The visuals should be logically selected to concisely and clearly communicate the research findings to the audience. Relevant visuals break the text and make the research report more engaging and applicable in real-world situations. Those who conduct qualitative data analysis using Nvivo and other software can utilize the visualization features to present research findings in an appealing manner.
10. Critical thinking and problem-solving skills
Qualitative data analysis services are meant to find answers to specific research questions. Analysts should have excellent critical thinking and problem-solving skills to uncover patterns and synthesize connections and themes that may not be visible to the layperson. They should understand and analyze the research question or objective of the analysis and think critically about how to find the answer or solution without relying on what already exists.
The skills are also essential in integrating and linking the data analysis section to the other dissertation chapters for a comprehensive, meaningful, and sensible document for the student to be awarded excellent grades.
When purchasing the services of an Nvivo expert, it is imperative to evaluate their critical thinking, analytical, and problem-solving skills to be sure they can focus on the right data types, identify gaps or data issues, and recognize the most appropriate analytical methods and software to enhance efficiency and effectiveness of the processes.
Considering these factors when seeking qualitative analysis help enables one to make the right choice for a professional analyst. Whether a deductive or inductive approach to qualitative data analysis is required, one should consider a professional who can produce the best results and convey the research findings to the relevant target audience.
In addition, the analysts should possess the expertise of qualified writers to compile and present relevant reports and communicate findings according to the rules and standards of academic writing. They should be able to express themselves in both written and spoken communication to prevent misunderstandings or misinterpretation of the conveyed information.
To conduct a qualitative analysis of data, one must understand the type or extent of analysis required, the most appropriate software applicable to the data set, and the formats in which the information is stored. Those wishing to get help from a professional dissertation data analyst with knowledge of different software should be vigilant on the factors discussed in this article to choose the right expert to help in achieving research objectives. The expert should be time-conscious to help the client submit the dissertation within the specified period.