Data Analysis Services
Precision Data Analysis for Informed Decisions
Research is considered as successful and valid only when the data entered is authentic and accurate. The accuracy of data can be checked by doing rigorous analysis. Analyzing data is highly important. Therefore, the data entered in a research paper should be completely accurate. Analysis of data requires special tools, software and skills. Students fail to get access to such tools and software and lack analytical skills. Entry of wrong or inaccurate data can cause wrong conclusions and faulty observations.
Data analysis is broadly categorized into two sections:
- Qualitative Data Analysis
- Quantitative Data Analysis
Qualitative Data Analysis
It refers to analyzing the quality of the data. In other words, it is the method of analyzing the quality of non-numerical data, such as text, theme, writing style, etc. of the paper. it Involves the systematic process of assessment, interpretation and observation of data. This helps in uncovering patterns, themes and insights which help researchers understand things easily. Methods used for qualitative data analysis are:
Thematic Analysis
This is used to identify patterns and themes of the data. Data is categorized into themes based on various grounds, like, differences, similarities and ideas. It helps in knowing the core idea of the data.
Narrative Analysis
It is done to analyze stories and narratives. It helps in understanding the experiences, p[perspectives and ideas of the subjects of research. It aims to analyze the structure, content and meaning of narratives.
Quantitative Data Analysis
It involves the process of analyzing the textual content of the data, such as counts, measurements, ratings, etc. It focuses on qualifying relationships, patterns, trends, etc. used in a text. It uses statistical tools and tests for conducting analysis.
Comparative Analysis
This method is used to compare the data based on differences and similarities. It helps in forming categories and concepts of the data.
Ethnographic Analysis
It is used to study ethnographic research. Ethnographic research is used to study cultures, communities and social groups. Therefore, as the name says, ethnographic analysis helps in studying the data related to cultures, communities and social phenomena.
Content Analysis
It is used to analyze data for identifying specific patterns, trends, and meanings of both textual and visual data. It is also used to analyze large amounts of data. Eg. Interview data analysis, focus group discussion, etc.
Quantitative Data Analysis
It involves the process of analyzing the textual content of the data, such as counts, measurements, ratings, etc. It focuses on qualifying relationships, patterns, trends, etc. used in a text. It uses statistical tools and tests for conducting analysis.
Methods used for quantitative data analysis are
Descriptive Statistics: This helps in analyzing basic numerical data, such as measures of central tendency, like mean, median and mode, and measures of dispersion, such as standard deviation, range, etc. It provides a clear overview of the data.
Inferential Statistics: It is used to analyze the predictions, and tests, and infer relationships between the variables. It involves various tools and techniques, like, t-test, ANOVA, correlation and regression.
Correlation: It measures the strength and direction of the relationship between variables. It helps in analyzing how a change in one causes an effect on the other.
Regression Analysis: It is used to analyze the relationship between dependent variables and independent variables.
Factor Analysis: It is used to identify underlying factors. It reduces the complexities of the data.
Chi-Square Test: It is used to analyze the significant association between the variables.
ANOVA (Analysis Of Variance): It is used to compare multiple groups. It is used in experimental and observational studies.
How PhdFY helps the students?
Students do not know how to perform intensive data analysis and this makes their work prone to errors and mistakes. Our perfect analystics services act as a support for our clients. The stress of doing an accurate data analysis makes the students tense and troubled. PhDFY has been helping students since 2009. Along we many writing services, PhDFY offers data analysis services as well. It has been proven to be helpful for students in ways like:
Cost saving
Data analysis requires many sources and techniques which makes it a costly procedure. PhDFY provides budget-friendly services to students which makes analysis cheaper for them.
Time saving
Intensive data analysis requires a lot of time. Students are provided with a tight deadline and are expected to submit their reports and students fail to manage time.
Accuracy
Data analysis requires many sources and techniques which makes it a costly procedure. PhDFY provides budget-friendly services to students which makes analysis cheaper for them.
Challenges faced by students when conducting data analysis
There are various challenges faced by students conducting data analysis. Some of them are:
Complex data: Researches involve complex and large amounts of data. It becomes challenging for students to manage and analyse such data efficiently.
Data collection: Students face difficulty in collecting accurate data. They have challenges with incomplete data, inconsistency, data quality, etc.
Software and tools Analysis requires special tools and software. Students fail to get access to these specialized tools. This causes a hurdle for many students. It also requires specialized training and knowledge to use and apply the right technique.
Interpretation of data: Understanding and interpreting the data and their results often becomes a difficult task for students. Students face challenges with research questions and hypotheses.
Time management: Research analysis requires a good amount of time. Students struggle to manage this time effectively.
Frequently Asked Question
What type of analysis service do you offer?
We provide a range of data analysis services, like, statistical analysis, qualitative data analysis, data visualization and other related services as well.
What software tools do you use for data analysis?
Our team of analysts use advanced software, like SPSS, Python, SAS, Stata, MATLAB, etc.
Do you provide data collection and analysis assistance?
Yes, we provide data collection and analysis assistance to our clients. We help and assist the students in collecting accurate data and in doing its analysis.
Do you provide revision services as well?
Yes, we make sure to revise the work before the final delivery. All our services include intensive revision work. This makes sure that all our services are free of errors and flaws.
Can you provide sample reports or projects?
Our portfolio shows many samples of all our work and services. All these sample works are curated especially for our clients for reference and as a sample of our work.
