Research design and methodology consultants-Opnet IT Guru, SPSS, Lingo, Arena, Structured interviews and surveys, qualitative and quantitative methodologies

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:

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 Studiesmay be conducted employing either Qualitative or Quantitative methodologies or by combining both methodologies (triangulation).
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.

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.

EPROINDIA 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.