1. Identify a research topic.

2. Review existing literature.

3. Understand various research philosophies.

4. Develop research design and methods.

5. Conduct ethical research.

6. Analyze both qualitative and quantitative data.

7. Present research findings effectively

• Brainstorming

• Rationale (explain why we choose this topic)

2. Reviewing the literature

• Read existing research paper related to topic (Google Scholar)

• Core paper

• Indicate research gap

• Contribution

3. Understanding research philosophy foundations + approaches to develop research theories (concept/ definition of key words related to topic)

4. Collect the data

5. Analyze data

6. Interpret data

7. Inform others 

1. Identify research topics

   Brainstorm

   Rationale

2. Do literature review

   Review existing published research papers

3. Understand research philosophy foundations

4. Conduct research ethics

   Avoid making up data and plagiarism

5. Clean the data

   Presenting

   Describing

6. Collect and analyze quantitative and qualitative data

7. Presenting research data

• Step 1: Clarify the topic, write the proposal → After brainstorming and everyone shares their ideas → Techniques: brainstorming and think of the rationale (why do you choose this topic)

• Step 2: Review the literature → existing recognized research papers//publications on relevant topics (GG scholar). Core papers → come back to the first step again: Why do we have to do this again? → Only do this if you find a gap (sth in the literature that hasn’t been done // sth that is not precise/could be better). 

• Step 3: Choose the research philosophy and approaches to develop research theories. 

Research theories: 

• concept/definition of key words of the topic you want to research - from the literature (from recognized books, journals, discussion papers, reports) 

• framework (methodology - survey, secondary data,...)

• Step 4: Formulate research design 

• Step 5: Collect data 

Keep raw data in excel to yourself, don’t show all of them. 

• Step 6: Analyze data 

Show data in graphs and figures, not big tables. 

Descriptive statistics (average values, min, max,...). 

Econometrics. 

• Step 7: Present research results. 

In English, in an international format

• Step 1: Selecting topic

• Step 2 : Reviewing the literature

• Step 3 : Understanding research philosophy foundations and approaches

• Step 4 : Collecting data

• Step 5 : Cleaning / processing the data

• Step 6 : Analysing the collected data

• Step 7 : Presenting research findings

•        - Reviewing the literature (existing research papers, studies relevant to the topic) (Core papers, gaps -> contributions)

•        - Choosing research philosophy and approaches to theory development (from literature)

•        - Collecting data + conducting research ethics and ethics in data access

•        Clean/ presenting/ constructing/ describing data from literature

•        - Analyzing data (Estimate/econometric, statistic (Correlations/trend frequency))

•        - Presenting research results, findings (sample papers, format recognized internationally)

Research is a way of being curious and systematically exploring questions or problems. It involves gathering information carefully and looking at it objectively to understand things better and discover new insights

BRAINSTORMING RATIONALE

1. Select the topic to research (don't fix it) --> brainstorm --> rationale

COPE PAPERS --> indicate gaps

2. Reviewing the literature --> existing research papers/studies relevant to topic --> keywords, papers that have been published

CONTRIBUTIONS

3. Understanding the research philosophy & research theories --> concept, definition, framework methodologies...

4. Collect data

5. Cleaning/constructing valuables/presenting/describing data --> table/ descriptive statistics/ graphs/ pictures... pick up definition from law/literature...

6. Analyze data --> estimate (econometrics,...), standard (statistics/trend/frequency...)

7. Inform others/ presenting research findings --> recognized publication/ sample papers

2. Review the literature (core papers → brainstorming, rationale) 

gap need to be indicated, since it is rationale 

get research theory from books, journal, discussion paper, reports (IMF, Worldbank)

3. Understand research philosophy foundations and approaches → develop research theory → concept/ definition + frameworks (method)

4. Collect the Data (draw data, interview or survey)

5. Analyze the Data (clean and pick up data, describing) 

6. Interpret the Data (exposed)

7. Inform Others / Report the Results (description of the study) 

• Select topic -> brainstorming -> rationale Don't fix it

• Reviewing the literature core papers (existing research papers relevant to topic)

• Understanding research philosophy foundations and approaches to develop research theories (concept/definition/keyword/frame value (methods)

• Collect the data:
  + Conducting research ethics & ethics in data access

  + raw data

• Cleaning/Constructing/Presenting/Describing data

• Analyzing data

+ Descriptive stats

+ Graph

+ Estimate, statistic (correlation/trend/frequency)

• Presenting research findings in no.6

2. Reviewing the literature

3. Design the study

4. Collect the data

5. Cleaning/ constructing variables

6. Analyze the data

7. Presenting research's findings

Brainstorming and rationale

2/ Review the literature

Existing recognized research papers, publication on relevant topics. 

Core paper: come back to the first step: Why do we have to do this again ? (Only do this when you have a gap (sth in the literature that hasn’t been done or sth is not precise/ could be better)

3/ Choose the research philosophy and approaches to develop research theories

Concept/ definition/ key words/ frame value (method)

4/ Collect data

Gather data from recognized sources.

5/ Describing the data

Clean the data

6/ Analyze the data

Use those data to solve the problem

7/ Presenting the findings

Inform it to the readers

Step 1: Selecting topic

Step 2: Reviewing the literature

Step 3: Understanding research

Step 4: Collecting the data

Step 5: Analyzing the data

Step 6: Interpreting the data

Step 7: Informing others