EPRO INDIA RESEARCH PROCEDURE - In Service to Learners Since 1983 In our services, qualitative or quantitative field research pertaining to Dissertation and Thesis Research Projects shall be carried out in the target organizations through our network of professionals. The respondents shall be chosen from the industry that may be employees in corporations or practicing professionals. However, it may please be noted that most of the interviewees, respondents and their respective organizations do not like their names to be declared in researches and hence their responses shall be included in the research after ensuring anonymity. The data collection and analysis techniques shall be qualitative as well as quantitative depending upon the subject area. Academic Help is provided on: OPNET, VENSIM, SPSS, ARENA, TAGUCHI's METHOD ON MS EXCEL, JAVA, PYTHON, C++, JAVASCRIPT, MLAI, BLOCKCHAIN, and SEVERAL SOFTWARE FRAMEWORKS. Mobile Friendly Page The research requirements in dissertations, theses and professional research papers normally comprises of Research Questions or Hypotheses Formation, formulation of Purpose, Aims and Objectives, Detailed Literature Review, Primary Field Research or Data Collection from reliable sources, Raw Data Organization & Presentation, Critical Analysis, Conclusions & Generalizations and Recommendations for Further Research. In this context, we present the following sample outline for theses, research papers and dissertations. Please also visit the page detailing SUBJECT AREAS OF SPECIALIZATION pertaining to our services to view the broader perspective of topic building for Dissertations and Theses. Please contact us at consulting@eproindia.com or consulting@eproindia.net to discuss your topic or to get ideas about new topics pertaining to your subject area. Further, We also offer you to develop the "problem description and statement", "aim, objectives, research questions", "design of methodology and methods", and "15 to 25 most relevant citations per topic" for three topics of your choice of research areas at a nominal fee. Such a synopsis shall help you in focussing, critically thinking, discussing with your reviewers, and developing your research proposal. To avail this service, Please Click Here for more details. TITLE PAGE (designed as per MLA, Harvard or APA recommendations) DECLARATIONS ACKNOWLEDGEMENTS ABSTRACT OR EXECUTIVE SUMMARY TABLE OF CONTENTS TABLE OF FIGURES TABLE OF CHARTS OR TABLES CHAPTER 1: INTRODUCTION SECTION 1.1: BACKGROUND AND CONTEXT OF THE RESEARCH SECTION 1.2: RESEARCH QUESTIONS OR HYPOTHESES SECTION 1.3: RESEARCH AIMS AND OBJECTIVES SECTION 1.4: RESEARCH PURPOSE SECTION 1.5: ETHICAL REVIEW SECTION 1.6: STRUCTURE OF THE DISSERTATION/THESIS CHAPTER 2: LITERATURE REVIEW MULTIPLE SECTIONS/SUBSECTIONS CREATED AS PER THE RESEARCH TOPIC AND SUBJECT AREA CHAPTER 3: RESEARCH METHODOLOGY SECTION 3.1: DISCUSSIONS ON RESEARCH PHILOSOPHY - PRIMARILY INTERPRETIVISM AND POSITIVISM SECTION 3.2: DISCUSSIONS OF QUALITATIVE AND QUANTITATIVE RESEARCH METHODOLOGIES - PHENOMENOGRAPHY, ANTHROPOLOGICAL ETHNOGRAPHY, ACTION RESEARCH, GROUNDED THEORY, STATISTICAL TECHNIQUES, MATHEMATICAL MODELING, COMPUTER ALGORITHM GENERATION, LABORATORY EXPERIMENTS, SIMULATIONS, ETC. SECTION 3.3: RESEARCH INSTRUMENTS, TOOLS AND TECHNIQUES - STRUCTURED, SEMI-STRUCTURED AND UNSTRUCTURED QUESTIONNAIRE, CAUSE-EFFECT CHARTS, OBSERVATION CHARTS, MICROSOFT EXCEL, OPNET IT GURU, SPSS, ARENA, LINGO, ETC. SECTION 3.4: SAMPLING, DATA COLLECTION AND DATA ANALYSIS TECHNIQUES SECTION 3.5: LEARNING APPROACH - INDUCTIVE AND DEDUCTIVE SECTION 3.6: DESIGN AND EXECUTION OF PILOT SECTION 3.7: ETHICAL CONSIDERATIONS SECTION 3.8: DISCUSSIONS ON FINAL RESEARCH DESIGN CHAPTER 4: PRIMARY DATA PRESENTATION, DISCUSSIONS AND ANALYSIS MULTIPLE SECTIONS AND SUBSECTIONS DEPENDING UPON NUMBER OF RESEARCHES CONDUCTED AND NUMBER OF DATA SOURCES CHAPTER 5: CONCLUSIONS AND GENERALISATIONS CHAPTER 6: REFLECTIONS AND RECOMMENDATIONS FOR FURTHER RESEARCH REFERENCES (in APA, Harvard, MLA or a customized style required by the customer) BIBLIOGRAPHY Research Studies may be conducted employing either Qualitative or Quantitative methodologies, by combining both methodologies (triangulation), or employing modeling and simulations. Qualitative methodology requires an interpretive approach that essentially employs inductive learning and hence the researcher should begin with Research Questions. Qualitative methodology may involve semi-structured or structured interviews and outcomes need to be interpreted gradually to build the theoretical foundation. Quantitative methodology requires a positivist approach that essentially requires deductive learnings and hence the researcher should begin with hypotheses formation. Proving hypotheses requires scientific methods like mathematical modeling, algorithms, statistical analysis, simulations, etc.We will help you to learn, SPSS for statistical modelling and analysis, OPNET for Networking modeling and simulations, ARENA for Process and workflow modeling and simulations, and Vensim for system dynamics modelling. We will also help you in Taguchi Methods using well-designed Excel templates, and in software development, integration, testing, and runtime in Java, C++, Python, and frameworks such as Spring Boot, Express, Hyperleder, Corda, machine learning, and artificial intelligence. The choice of Research Methodology largely depends upon the research topic, subject area, purpose and past empirical theories/generalisations that are related to the topic and subject area. If availability of past empirical theories is inadequate, then the researcher cannot establish sound theoretical foundation to develop hypotheses. In such a case, the researcher prefers to use qualitative methodology. This methodology is also used in researches where inductive learning is key to success and the data/information collected cannot be appropriately converted into measurable metrics. Many social and management research studies lie under this category Science and Technology research studies that require experimentations or modeling and simulations essentially employ quantitative research methodology. Many simulation tools automatically generate statistical data and hence the student may just need to analyse the outcomes. However, if data is generated in the form of numbers only then SPSS, SPSS + LISREL, or MS Excel can be used to apply the data in statistical models or MATLAB can be used to apply the data in mathematical models. If process or workflow modeling and simulation is required then ARENA (Student's version) is the best tool that can be adopted. For finance dissertations, MS EXCEL XP, 2003 or 2007 is sufficient to apply the calculations estecially when data is taken from cash flow, income and balance sheet statements published in annual reports. Calculations in all company valuation dissertations can be carried out using MS EXCEL. EPRO INDIA charges extra for teaching ARENA, SPSS, SPSS + LISREL (Multivariate), MATLAB, Vensim, Taguchi's Method, and OPNET based modeling/simulations. We do not charge extra for Excel based calculations. Customers are provided hands on training over SKYPE and Teamviewer on their respective computers such that they can not only run the models and simulations in their own computers but also learn them thoroughly to face the examiners. If you wish to place orders on us, please go through the "How to Order" details. Copyright 2019 - 2020 EPRO INDIA. All Rights Reserved