Unlock data-driven insights with our expert quantitative research services. From survey design to statistical analysis, we provide comprehensive support for your research needs. Elevate your study and achieve accurate, impactful results.
Quantitative data means the numerical text or data related to the research. It is usually practical-based data, which requires inference, calculation and interpretation. This type of data requires special analysis and thorough proofreading and editing. It involves an approach of collecting, analyzing and calculating numerical data related to the research topic.
PhDFY, established in 2009, has become a very reliable and highly trusted brand in the market. Students trust us for their writing and research work. Our team consists of highly experienced academic scholars who hold doctorate/PhD degrees and highly experienced experts. We have all the required legal registrations and certificates from esteemed platforms. Our work has received appreciation and recognition eminent by institutions and organizations. We have a record of 100% accurate and reliable service. Our 24*7 customer support and transparent pricing policy have won the trust of our clients. We are proud of our customer return rate and how our work has been proven to contribute to our clients’ careers and overall academics. Quantitative research usually requires high-cost procedures and techniques of data collection and analysis. PhDFY uses advanced techniques and tools, with the help of our experts we frame a very budget-friendly pricing policy, without compromising the work quality. Students often fear getting caught and being blamed for plagiarism and academic fraud. PhDFY ensures 100% confidentiality and secrecy to their clients. We never disclose their identities without their consent. Our work is free from any kind of plagiarism. We use intensive research methods and techniques to conduct our work. This helps in making our work highly dependable and trustworthy.
Experience precision, expertise, and dedicated support with our top-tier quantitative research services.
The objective of conducting the research should be explained in the paper. This helps in conducting the research process smoothly and without any confusion.
A thorough review of the content needs to be conducted. This helps in understanding the already existing research. It helps in the identification of gaps and shortcomings in the research.
The author should appropriately design the study. Common study designs include experimental, correlational, cross-sectional, etc.
A sample must be selected from the targetted audience as representatives of the audience. There are various factors to be considered while selecting the participants, such as sample size, sampling method, etc.
The data must be collected using structured methods appropriate for the research. There are various methods used for data collection, such as surveys, experiments, etc. The data collected must be relevant and reliable.
They must be clean and appropriate. It must be complete, and consistent and must have integrity and accuracy.
Choosing appropriate techniques, statistics and methods for analysing data accuracy is highly important.
While interpreting the results of data, statistical analysis must be done with great precision and focus. It must be noted whether the result interpretation is in favour of the research question or not.
PhD research involves various techniques and quantitative methodology. Here are some of the common methods of quantitative research
Quantitative research includes studies involving experiments to manipulate independent variables and measures affecting dependent variables.
It involves an examination of variables through correlational analysis. Common techniques used are Pearson’s correlation coefficient and Spearman’s rank correlation.
It involves conducting surveys to collect quantitative data from participants. Surveys can be flexible as per the requirements of the research question.
It uses regression models to analyse the relationship between different types of variables. It is used to predict outcomes and identify significant predictions.
It is used to analyse quantitative data from multiple studies. It helps in examining overall effects, trends and patterns. It combines statistical results from individual studies to conclude
It helps in exploring factors within a set of variables. Factor analysis includes various techniques like exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).
Quantitative analysis includes data collected over time. To identify trends, patterns, seasonality and relationships between variables.
Quantitative research is a challenging process. Researchers often encounter many challenges and difficulties. These challenges are-
Obtaining the targeted samples can be very challenging. Researchers may face many difficulties in finding adequate samples.
It is difficult to find samples with valid measurements. This challenges the reliability of data.
The collection of quantitative data requires time and intensive resources. Researchers may find it difficult to reach the participants, conduct the survey, etc.
Statistical analysis becomes difficult for students to conduct. It gets challenging for the researchers to select appropriate tests.
Often the data and variables are complex. This interpretation is challenging. Researchers need to ensure that the results of the research are interpreted accurately.
Resources such as funding, time, access to data expertise in methodology, etc. are limited to students. They fail to overcome these challenges and hurdles.
The advantages students get on collaborating with PhDFY are many in number. Our outstanding services help them achieve their academic goals. We help our clients by
PhDFY offers well-defined and specific research objectives that help the readers as a guide for the entire research project. We make sure the data has an objective, is measurable and suitable for the research question.
We have a team of highly capable researchers who make data-driven decision-making.
We help in analysing the data. Our experienced analysts go through every single data entry in the text to make sure it is accurate and reliable.
We use standardized procedures and methods for data interpretation and collection. We provide services efficient in terms of data collection, analysis and interpretation.
We use highly advanced tools and techniques to check the accuracy of the numerical data. Often PhD students lack the skills and knowledge to conduct quantitative research, PhDFY helps such students in their work.