# data[].attributes.body
1. Select topic

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

# data[].attributes.body
Steps

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

# data[].attributes.body
STEPS TO DO RESEARCH:

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

# data[].attributes.body
7 steps of doing research

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

# data[].attributes.body
1. Select topic

2. Review the literature

3. Understand research philosophy foundations and approaches to develop research theories

4. Collect the data

5. Clean the data

6. Analyze the data

7. Present research findings in no.6

# data[].attributes.body
2412155288

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

# data[].attributes.body
1. Select the topic

2. Reviewing the literature

3. Understanding research philosophy foundations & approaches

4. Conducting research ethics in the data access

5. Collecting data

6. Analyze the data

7. Present the findings

# data[].attributes.body
1. Select topic:

Brainstorming

Rationale

2. Review existing literature

core paper --> guideline to do the research

3. understanding various research philosophy

research theories include :concept, definition, key words and frame values

4. develop research design and methods

5. conduct ethical research

6. analyze both qualitative and quantitative data

7. present research findings effectively

# data[].attributes.body
•        - Clarifying the research topic and developing the research proposal -> (Brainstorming the topic WHY? The topic, find the rationale, have SEVERAL options)

•        - 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)

# data[].attributes.body
Select topics, choosing the key words for the research

Review the literature, find the core paper to define the gap in the previous research

Understand research philosophy foundations and develop the research theories --> make contribution

Collect data, ensure the research ethic

Describing data, clean date from the raw one

Analyze data

Present research findings

# data[].attributes.body
What is research? Steps of research?

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

# data[].attributes.body
1. Select the data: Choose the topic keywords

2. Review the literature: the recognized papers for reference, core paper (close to your topic)

3. Understanding research philosophy foundations and approaches to develop research theories: make contribution, what is different from the prior

4. Collect data: gather the data from recognized sources, academic books, journal

5. Presenting/describing data: clean the data

6. Analyze the data: use those data to solve your problem

7. Present the findings: inform it to readers

# data[].attributes.body
1. Select a Topic (keywords → brainstorming → rationales)

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)

# data[].attributes.body
Select topic (brainstorm -> rationale)

Reviewing the literature (existing research papers relevant to topics/ core paper..)

Understanding research philosophy and approaches to theory development (concept/ definition of key words related to topic)

Formulating research design

Collect the data (ethnic data)

Analyzing data (clean, pick up data, describing)

Presenting research results (in an international format)

# data[].attributes.body
7 steps of doing research:

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

# data[].attributes.body
1. Select topic

Brainstorming

Rationale

Fix

2. Reviewing the literature

existing research paper related to topic

Core paper

Gaps

Contribution

3. Understanding research philosophy foundations and approche to develop theories (concept, definition,...)

4. Collect data

Raw

From yourself or other results

5. Cleaning data

presenting/describing data from literature

Graphs/ Pictures

6. Analyze data

estimate

econometric

correlations/trend frequency

7. Presenting research results, findings

sample papers

format internationally

# data[].attributes.body
1. Select topic: brainstorming, rationale

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

# data[].attributes.body
1. Select topic: key words, brainstorming, rationale

2. Reviewing the literature: existing research paper, relevant to topic, core papers, gap

3. Design the study: concepts/definition, frame value,method, conducting research ethics and ethics in data access

4. Collect data

5. Cleaning data: presenting/describing data from literature, graph/picture, descriptive skill

6. Analyze data: esstimate, econometric, correlations/trend frequency

7. Presenting research findings: sample paper,format internationally

# data[].attributes.body
Steps of doing research:
1/ Select topic

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

# data[].attributes.body
Steps to do research

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