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Methodology The connoisseur approach
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PHD ASSISTANCE PhD Assistance, is world’s reputed academic guidance provider for the past 15 years have guided more than 4,500 Ph.D. scholars and 10,500 Masters Students across the globe. We support students, research scholars, entrepreneurs, and professionals from various organizations in providing consistently high-quality writing and data analytical services every time. We value every client and make sure their requirements are identified and understood by our specialized professionals and analysts, enriched in experience Our team heads have rich experience in the field of research for more than 15 years especially in the development of questionnaire, research design, quantitative and qualitative study designs, and statistical analysis. The technical heads will guide you through your research journey and drive you to achieve your PhD completion dream. There is complete support at every stage from the identification of PHD topic to the final document.
Research Methodology: Researching & Rewriting & Editing Help / Mentoring
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Doctoral Research Methodology
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Our researchers are familiar and experience in research methodology chapter writing. We have a team of PhD researchers use the different methods for conducting the research. Our researchers are good in formulating research questions and construct testable hypotheses/study designed to answer the questions, analyzes the resulting data and finally interpret the conclusion of the problem.
You will feel completely satisfied with our research methodology – Original, elegant and the arguments nuanced and sophisticated establishing an academic tone
PhD assistance team help to Design and conduct investigations experimental and non-experimental methods include observation studies, case studies and correlation studies
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Our Exclusive Doctorate of Philosophy Dissertation Mentoring & Rewriting Services
Research design
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Research problem should be formulated in clear-cut form to aid researchers to prepare research design. We prepare such research design with minimal expenditures
The sampling method or techniques involve the researcher should decide the way of choosing a sample; it is popularly known as sample design. Definite plan is decided before data collection for getting a sample from a given population
Sample size Data collection using methods such as interviews and questionnaire. Uniqueness of work is reflected in primary data collection. It includes questionnaires, interviews, focused group interviews, observation, case studies, critical incidents, portfolios.
Primary data collection Determining the sample size depends on the kind of research work; small size may not yield the desired result, and if big size is opted, it becomes expensive. It's quite challenging but achievable through the statistical methodology and its application to steer clear the dilemma of sample size calculations.
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Exclusive Doctorate of Philosophy Dissertation Mentoring & Rewriting Services Enjoy the diverse range of research methodology writing services for all undergraduate and Ph.D. /postgraduate subjects.
Qualitative methodology Qualitative research methodology clearly aims to design to answers the questions like ‘what, why and how’ phenomenon.
Quantitative methodology Quantitative methods mainly aim to measure or in other words quantify a fact; it aims to design answers for the question like “how many”.
Secondary data collection Information collection is facilitated from the already collected data. This type of data collection is less expensive in terms of time, money, and effort. However, secondary data will be reliable only if unbiased, intelligent and trained investigators have collected it.
PhD Assistance Provide Research Methodology help for any subjects and our experts are professional in following the principles of ethical research, frame background the research study, expertise in Psychology Data collection techniques, Non experimental research, Qualitative research methods and design, Quasi-Experimental Research, internal and external validity in research, describe and inferential statistics in physiology and experimental design and evaluating research findings.
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