WORAM 12.0-2023

Day 1: Date: 26th May (Friday) 2023

Topic: Fundamentals of Research Methods and Methodologies

1. Clear and specific research question: A well-defined research question is a key aspect of any research project. It should be clear, specific, and feasible. A research question is the foundation of a research project, and it should guide the research design, methodology, and data collection process.
2. Identifying the research gap: Before starting any research project, it is important to identify the research gap or problem. This involves conducting a thorough literature review to determine what has already been researched and to identify any gaps or areas for further investigation. This will ensure that the research is relevant, and it will help to justify the need for the research.
3. Research design: Choosing the right research design is essential to ensure that the research is valid and reliable. The research design should be chosen based on the research question, research gap, and the type of data that will be collected. Common research designs include experimental, quasi-experimental, survey, case study, and ethnographic designs.
4. Selection of the best topic for research: Selecting the best topic for research involves considering several factors, including personal interest, feasibility, and relevance. A good research topic should be interesting, feasible, and should contribute to the existing body of knowledge in the field.
5. Data collection methods: The choice of data collection methods will depend on the research question, research design, and type of data needed. Common data collection methods include surveys, interviews, focus groups, observation, and secondary data analysis.
6. Validity and reliability: Validity and reliability are critical aspects of any research project. Validity refers to the accuracy of the research findings, while reliability refers to the consistency of the research results. To ensure validity and reliability, it is important to use appropriate research methods, collect data systematically, and use appropriate statistical analysis techniques.

Day 2: Date: 29th May (Monday) 2023

Topic: Effective Original and Review Manuscript Drafting 

1. Clear and concise writing: The manuscript should be written in a clear and concise manner, using appropriate language and grammar. This will help to ensure that the manuscript is easy to read and understand, and will increase its chances of being accepted for publication.
2. Strong introduction: The introduction should provide a clear and concise summary of the research question, objectives, and methods. It should also provide a rationale for the study and highlight its significance and relevance.
3. Thorough literature review: The literature review should provide a comprehensive overview of the relevant literature on the topic, highlighting any research gaps or inconsistencies. It should also demonstrate the author’s knowledge and understanding of the field.
4. Robust research methodology: The methodology should be described in detail, including the research design, data collection methods, and data analysis techniques. The methodology should be robust and appropriate for the research question and objectives.
5. Clear and concise results: The results should be presented clearly and concisely, using appropriate tables, figures, and statistical analysis. The results should be discussed in relation to the research question and objectives, and any limitations or implications should be identified.
6. Critical discussion and conclusion: The discussion should provide a critical analysis of the results, highlighting any strengths, weaknesses, and limitations of the study. The conclusion should summarize the main findings of the study and provide recommendations for future research. It should also emphasize the significance and relevance of the study and its contribution to the field.

Day 4: Date: 2nd June (Friday) 2023

Topic: Quantitative Research Design and SPSS

1. Clear research question and objectives: A well-defined research question and objectives are essential for designing and conducting a quantitative research study. This will help to guide the research design and data analysis.
2. Appropriate sampling methods: The choice of sampling method will depend on the research question and objectives. Common sampling methods include random sampling, stratified sampling, and cluster sampling.
3. Valid and reliable measurement instruments: The measurement instruments used in the research should be valid and reliable. This will help to ensure that the data collected is accurate and can be used to answer the research question.
4. Data collection methods: The choice of data collection method will depend on the research question and objectives. Common data collection methods include surveys, questionnaires, and experimental designs.
5. Data analysis using SPSS: SPSS is a commonly used statistical software for data analysis in quantitative research. It is important to have a good understanding of the software and its capabilities in order to effectively analyze the data.

6. Reporting and interpreting results: The results of the data analysis should be reported in a clear and concise manner, using appropriate tables, charts, and statistical measures. It is important to interpret the results in light of the research question and objectives, and to draw appropriate conclusions based on the findings.

Day 5: Date: 3rd June (Saturday) 2023

Topic: Qualitative Research Design and Application of NVivo, Max QDA

1. Society-based Research and objectives: A clear research question and objectives are essential for designing and conducting a qualitative research study. This will help to guide the research design and data analysis.
2. Appropriate Qualitative sampling methods: The choice of sampling method will depend on the research question and objectives. Qualitative research often uses purposive sampling, which involves selecting participants who are most likely to provide useful data.
3. Valid and reliable data collection methods: The data collection methods used in the research should be valid and reliable. This will help to ensure that the data collected is accurate and can be used to answer the research question.
4. Data analysis using NVivo or Max QDA: NVivo and Max QDA are commonly used software for analyzing qualitative data. It is important to have a good understanding of the software and its capabilities in order to effectively analyze the data.
5. Thorough data coding: Qualitative data analysis involves coding and categorizing data into themes and patterns. It is important to be thorough and systematic in the coding process to ensure that all relevant data is captured.

6. Reporting and interpreting results: The results of the data analysis should be reported in a clear and concise manner, using appropriate quotes and examples to illustrate key themes and patterns. It is important to interpret the results in light of the research question and objectives, and to draw appropriate conclusions based on the findings.