CARA MENULIS HASIL PENELITIAN KUALITATIF DI BAB 4 SKRIPSI

Summary

This video script offers comprehensive guidance for writing the results section of a thesis, with a particular focus on qualitative data analysis. It stresses the importance of aligning the results with research questions and ensuring logical coherence between the methods and findings chapters. Key advice includes avoiding overwhelming readers with raw data and instead focusing on essential insights. The script emphasizes the use of proper documentation, including interviews, observations, and photos, to strengthen the research's validity. Additionally, it provides practical tips on structuring and presenting findings in an engaging, systematic, and readable manner.

Takeaways

• 😀 The 'Results' section should be written after completing the data analysis and coding to ensure clarity and coherence with the research questions.
• 😀 Research results should always align with the research questions and the methodology explained in Chapter 3, maintaining synchronization throughout the thesis.
• 😀 It's essential to include all data collection methods (interviews, observations, and documentation) in the 'Results' section. Omitting any of them weakens the integrity of the research.
• 😀 Data should be presented in a way that is systematic and reader-friendly. Avoid overwhelming the reader with raw data; instead, highlight the most important findings.
• 😀 When presenting interview data, use coding and categorization to reduce the information to the most relevant points related to the research questions.
• 😀 The results section should not be just a transcription of interviews but should interpret and organize the data in a meaningful way that answers the research questions.
• 😀 Use triangulation to strengthen the validity of your findings. This can involve combining data from interviews, observations, and documentation to support each claim.
• 😀 To improve clarity, define terms like 'source of ideas' before diving into the results, and provide contextual explanations based on the data collected.
• 😀 It’s important to not simply show interview data; after each piece of data, explain its significance and how it contributes to answering the research question.
• 😀 After presenting results, summarize the key findings before moving on to the discussion, ensuring the results are clearly linked to the research objectives.

Q & A

What is the importance of following the research question when writing the results and discussion chapter of a thesis?

The research question is the foundation of the entire thesis, and the results and discussion chapters should be directly aligned with it. Following the research question ensures the clarity and focus of the research findings and makes it easier for readers to understand the connection between the research objectives and the presented results.

Why is it critical to have a systematic approach to data processing before writing the results chapter?

Data processing needs to be done systematically to avoid confusion and ensure that the information is presented logically. Without a proper system, researchers may struggle to organize their findings, which could lead to incomplete or unclear results. A structured approach also aids in linking the data to the research question and objectives.

What is meant by 'triangulation' in qualitative research, and why is it important?

Triangulation in qualitative research refers to the use of multiple data sources, methods, or perspectives to strengthen the credibility of the findings. It is important because it helps confirm the accuracy of the results by cross-checking data, whether from interviews, observations, or documents, making the conclusions more reliable.

How should the results chapter of a qualitative thesis be structured?

The results chapter should be organized in a way that directly answers the research questions. Each section of the chapter should focus on a specific question or theme, with data presented in a clear, logical manner. It's essential to provide explanations and contextualize findings using data from interviews, observations, and documentation.

Why should researchers avoid including entire interview transcripts in the results chapter?

Including full interview transcripts can overwhelm readers and detract from the focus of the results chapter. Instead, researchers should select the most relevant excerpts that directly support the research findings. This reduces redundancy and maintains the clarity and purpose of the chapter.

What is the significance of including documentation such as photos in the results chapter?

Documentation, such as photos or other relevant materials, strengthens the authenticity of the data. It supports the findings from interviews and observations by providing concrete evidence, thereby enhancing the validity of the research.

How should a researcher define and explain the data presented in the results chapter?

Each data segment should be introduced with a clear definition or explanation of its relevance to the research question. This helps readers understand the context of the data and its connection to the overall study. After introducing the data, the researcher should provide a detailed interpretation in their own words.

Why is it important to summarize the results before moving on to the discussion chapter?

Summarizing the results allows the researcher to highlight key findings and ensures that the information is clearly understood. This summary also provides a bridge to the discussion chapter, where the researcher can analyze and interpret the findings in greater depth.

How does a researcher handle conflicting or unsupported data in qualitative research?

If data is conflicting or lacks sufficient support, it’s important for the researcher to explain these inconsistencies in the results chapter. They should provide context for why certain data might be inconclusive or unsupported, and suggest possible reasons for these discrepancies. If possible, supporting documentation or additional interviews should be sought to strengthen the findings.

What role does coding play in qualitative data analysis, and how does it affect the results chapter?

Coding is the process of categorizing data to identify patterns and themes. This process is essential for organizing large amounts of qualitative data and ensuring that the results are presented systematically. Effective coding allows the researcher to present findings in an organized manner, making it easier to link the results to the research questions and objectives.