Question: Research Title

A- Abstract

1. Introduces the type of research and the main topic of the research

2. Describes the main research objectives / goals

3. Defines data collection and data analysis methodologies

4. Provides findings, drawbacks and limitation of the research

5. Provides the direction of future research.

B- Introduction / Background of the study

must answer for the reader these four questions:

- What was I studying?

- Why was this topic important to investigate?

- What did we know about this topic before I did this study?

- How will this study advance new knowledge or new ways of understanding?

C- Research Objectives

Objective should be closely related to the statement of the Research questions.

D- Research Questions

A research question is an answerable inquiry into a specific concern or issue. It is the initial step in a research project. The 'initial step' means after you have an idea of what you want to study, the research question is the first active step in the research project.

• Specify your specific concern or issue

• Decide what you want to know about the specific concern or issue

• Turn what you want to know and the specific concern into a question

• Ensure that the question is answerable

• Check to make sure the question is not too broad or too narrow

E- Research Hypothesis: The research question and hypothesis should be developed before the start of the study.
A hypothesis is a specific, testable prediction. It describes in concrete terms what you expect will happen in a certain circumstance.

F- Research Design:

Research Methodology: Methodology is the systematic, theoretical analysis of the methods applied to a field of study. ... Typically, it encompasses concepts such as paradigm, theoretical model, phases and quantitative or qualitative techniques. A methodology does not set out to provide solutions - it is, therefore, not the same as a method.

G- Data Analysis Framework / Methodology

Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.

Descriptive statistics such as the average or median may be generated to help understand the data. Data visualization may also be used to examine the data in graphical format, to obtain additional insight regarding the messages within the data.

Inferential statistics includes techniques to measure relationships between particular variables. Example: regression analysis may be used to model whether a change in advertising (independent variable X) explains the variation in sales (dependent variable Y).

H- Time Scale / Time line: The time frame of an event is the length of time during which it happens or develops.

I- Conclusion: A well-written conclusion provides you with important opportunities to demonstrate to the reader your understanding of the research problem. These include:

1. Presenting the last word on the issues you raised in your paper.

2. Summarizing your thoughts and conveying the larger significance of your study.

3. Identifying how a gap in the literature has been addressed.

4. Demonstrating the importance of your ideas. Introducing possible new or expanded ways of thinking about the research problem.