2. Flexibility: Thematic analysis is a flexible approach to qualitative analysis that enables researchers to generate new insights and concepts derived from data. It is especially useful for novice researchers who are just learning how to analyze qualitative data.

3. Interpretation and Analysis: When conducting a thematic analysis, it's crucial to interpret and analyze the data, not just paraphrase it. Themes should be identified from the data, not the research questions. It's important to ensure that themes have enough data to be convincing and that your narrative is backed by your themes.

4. Differences from Content Analysis: Thematic analysis focuses on identifying and understanding major themes and their relationships within qualitative data. It tends to provide a high-level, wide-angle view. In contrast, content analysis involves quantifying data by counting the frequency of specific terms or concepts and organizing them. This method offers a more detailed perspective.

5. Advantages and Disadvantages: Thematic analysis allows for in-depth information, flexibility, and the identification of unexpected themes. However, it can be time-consuming, and the results may be influenced by researcher bias. It's also considered unscientific by some due to its subjective nature.

3. Maintain objectivity and avoid bias in the results section.

4. Thematic analysis identifies patterns and themes in qualitative data.

5. Thematic analysis has 6 steps which are: familiarization, coding, generating thems, reviewing themes, definition and naming themes, evaluate and revise, and writing up

conclusions

2its explain how analysis answered research question

3. A qualitative research must align a research objectives

4. Advantage of thematic analysis allows for in depth information and identification of themes

5.interpreration when condicting q thematic qmwlysis its crucial to interpet and anqlyze the data

2. I have gained knowledge on how we would execute or write the results with the help of the guidelines and step by step procedure

3 .I have gained new knowledge and visualized more effectively with the help of the examples written on the powerpoint

4. I have learned the step by step procedure on using thematic analysis

5. I have gained an understanding about the difference between the two approaches which is inductive and deductive that is used in thematic analysis

2. It includes tasks such, as programming and designing themes.

3. Two approaches are inductive and deductive.

4. Tasks involve programming, brainstorming ideas and evaluating the work.

5. When creating a document it typically consists of an introduction, findings and a summary.

2. I learned that there are steps in which you make your groups thematic analysis that will help us creating our own.

3. I learned how to make a thematic analysis effectively with no signs of confusion.

4. I have learned on how the results portion work on the research paper. Its role is to present your findings and its details without any biases.

5. Lastly, i have learned the distinction between the inductive and deductive approaches which inductive allows you to determine your themes, deductive involves coming up with preconceived that you expect to find related.

2. In the results section of a study it is important to present the findings without adding interpretation or bias. This involves adhering to guidelines such, as including quotes from the data and refraining from making subjective comments on the findings.

3. When analyzing data, themes that may emerge include managing the impact of suicide finding meaning in the aftermath of suicide, societal discomfort and finding purpose in life post event.

4. The process of analysis includes steps like becoming familiar with the data coding by marking text segments, with brief labels identifying overarching themes based on these codes and reviewing the themes to ensure accuracy and comprehensiveness.

5. Researchers have the option to take either an approach where themes are derived directly from data or a deductive approach where predetermined themes based on theory or existing knowledge guide the analysis.

2. As a group, we discovered that there are procedures for producing a theme analysis in your group that will support us in developing our own.

3. I gained proficiency in conducting a thematic analysis without displaying any signs of confusion.

4. I researched the inductive approach, which means allowing the themes to surface from the information.

5. I also discovered that applying a logical strategy necessitates entering the data with preconceived notions about the themes you hope to find there, drawn from theory or past experience.

1. In thematic analysis i learned that the data can be analyzed in two ways: inductive and allowing themes to emerge naturally starting with preconceived themes based on theory or existing knowledge, testing them against the data.

2. For this stage of the topic analysis, phrases or sentences within the text are highlighted. Following the highlight, these highlighted portions are identified with abbreviations or "codes" that briefly define the material. Coding facilitates data organization and pattern recognition, which can serve as a foundation for the development of themes.

3.The process of turning codes into themes involves grouping content based on commonalities and overarching concepts. The themes can include "Uncertainty," "Distrust of experts," and "Misinformation," allowing for understanding of wider patterns and meanings in data.

4. For step 4:I learned in order to maximize the themes' value and correctness for the procedure entails comparing and the identified themes to the data set as looking for any missing details, and maybe making adjustments. For step 5: Defining themes involves clarifying their meaning and understanding how they contribute to data understanding. Naming themes, on the other hand, involves creating concise and clear names for each theme for easy comprehension. This step is essential for making the themes easily understandable and applicable.

5.Evaluate and Revise: This step involves critically examining the themes you've identified. If multiple themes are similar to each other, it might be beneficial to merge them together. This ensures that the themes are distinct and comprehensive.Writing up: This step involves presenting your findings in a structured format. It typically includes an introduction where you establish the research question, aims, and approach.

2. Inductive approach aims in developing a theory while Deductive approach aims in testing an existing theory.

3. The first step in thematic analysis is familiarization in which you thoroughly understand your data while the second step is coding or highlighting certain parts of the text or "labelling".

4. The third step is generating themes in which you combine certain keywords into one word to generate one theme. While the fourth step is where we check the themes we created thoroughly.

5. The fifth step involves describing and clarifying their meaning, the sixth step is we evaluate and revise for similar or multiple themes and merge them into one, and finally, the last step in which we write it all up in the research paper.

2. As a group, we discovered that there are procedures for creating a theme analysis in your group that can assist us when creating our own.

3. We gained knowledge in conducting a thematic analysis without displaying any signs of confusion

4. We observed the inductive approach, which means allowing the themes to surface from the information.

5. We also learned that using a deductive method means approaching the data with certain ideas about the themes you anticipate seeing there, either from theory or from prior knowledge.

2. result portion tells the reader what you found in your findings without bias

3. the difference between inductive and deductive is the inductive is bottom up and starting from specific premises, while the deductive is top down and using general premises

4. when you're writing a result you need to observe, avoid comments, and clear and organized

5. when you're coding you need to identify and summarize the text and highlight the section of the

text

•Familiarization

•Coding

•Generating Themes

•Reviewing themes

•Defining and naming themes

•Evaluate and Revise

•Writing up

2.The results portion is the part of the

research paper that presents the

findings and its details.

3.GUIDELINES IN WRITING THE RESULTS OF THE

QUALITATIVE STUDY

4.Coding

• Highlighting the sections of text

• Create shorthand labels or "codes" to describe the content.

5.Result portion- The

subthemes were, thus, regrouped into four master

themes that the researcher felt best reflected the

structure of the data set.

1.What i learned In thematic analysis, i learn how to systematically analyze qualitative data, identify recurring patterns or themes, and interpret them to gain insights into the underlying meaning or significance of the data. This process helps me to understand the key concepts, ideas, or experiences within the dataset and draw meaningful conclusions from them. I develop skills in coding, categorizing, and interpreting data, which are valuable in various research fields and disciplines.

2. Inductive approach aims in developing a theory while Deductive approach aims in testing an existing theory.

3. thematic analysis is familiarization in which you thoroughly understand your data while the second step is coding or highlighting certain parts of the text or "labelling".

4. Generating themes in which you combine certain keywords into one word to generate one theme. While the fourth step is where we check the themes we created thoroughly.

5. involves describing and clarifying their meaning, the sixth step is we evaluate and revise for similar or multiple themes and merge them into one, and finally, the last step in which we write it all up in the research paper.

Results lies on presenting the data in a specific and accurate manner, without any interpretation or biases. The rerm 'result portion' then is the part of the research paper that presents the findings upon conducting the research.

Thematic Analysis on the other side focuses on interpreting the data— the method of identifying, classifying, and interpreting the patterns, themes, and so on. As for me, I find this part crucial. As it involves combining and understanding collected datas in a deeper manner.

That's all, Sir! Discussing this on the spot is a struggle and a challenge at the same time. Miss you po! Get well soon. 💛

-inductive and deductive talks about main idea or themes like our topic which is coffee. and deductive teaching language starts by learners to find rules to maintain our business properly

step 1: familliarization

- pagiging familiar to some words through text and initials codes, stage of the topic analysis, phrases or sentences within the text are highlighted. with abbreviations or "codes" that briefly define the material, Coding facilitates data organization and pattern recognition either

step 2: coding

-least of a part of structure, it can help to more identified the words, describe contents easily parang higlights sya mga important details na madaling tandaan basically, based on commonalities and overarching concepts.

2. There are guidlines when writing the results to present it properly.

3. There are two approaches which is inductive and deductive approach.

4.Thematic analysis is a qualititve method.

5. Thematic analysis focuses on interpretating the data while result is just raw and pure information.

2. just describe the methodology the data collection method then just explain the thematic analysis process

3. We explain the themes and their frequency of occurrence, supporting our explanations with data examples.

4. in the first stage in thematic analysis is to examine the data for broad themes. This is where you transcribe the audio data into text.

5. You now understand your themes, subthemes, and codes. Consider your subjects. At this point, you'll check to see if what you've identified as a theme actually exists in the data and fits the data.

-When you discussing the result avoid putting your own opinions and experiences it must be objective🤨

-In thematic analysis generating theme in terms of Uncertainty, Distrust of experts, and Misinformations❌

-The Steps in Thematic Analysis

• Creating Themes or Subthemes in your findings to further understand it clearly.

• Last but not the least Sir pagaling kanapo miss ka na namen🫀, Knowing the guides of thematic analysis

2. Inductive Approach Thematic analysis typically follows an inductive approach, allowing themes to emerge naturally from the data rather than imposing preconceived categories. This flexibility enables researchers to capture the richness and complexity of the data.

3. Coding Process The core of thematic analysis involves systematically coding data, which means identifying and labeling relevant segments of text or other data sources. These codes are then organized into overarching themes, which represent patterns or concepts that are meaningful to the research question.

4. Iterative Process Thematic analysis is often iterative, meaning that researchers continually revisit and refine their analysis as they progress through the data. This iterative process allows for deeper insights and ensures that no relevant themes are overlooked.

5. While thematic analysis allows for subjective interpretation of data, researchers strive to maintain rigor by transparently documenting their analytical process, engaging in peer debriefing or inter-coder reliability checks, and providing evidence to support their interpretations. This helps ensure the trustworthiness and credibility of the findings.

2. And the distinction between inductive and deductive approaches is crucial in research. An inductive approach involves allowing the data to determine your themes. This means that you let the data guide your understanding and interpretations.

3. Familiarization is the first step in thematic analysis. It involves getting to know the data thoroughly.

4. The second step in thematic analysis is coding. This involves highlighting sections of text, which can be phrases or sentences.

5. And Once these are highlighted, shorthand labels or "codes" are created to describe the content. These codes help in categorizing and analyzing the data further.

1. Guidelines in writing the results of the paper

• avoid subjective comments

• follow guidelines in making non-prose materials such as  tables

• clarify the information

2. Creating a table of the themes from our collected data

• summarize the collected data (subthemes) into master themes

3.Thematic Analysis

• qualitative method

• identifies themes from the collected data

• should have: transcripts, open-ended questions, and themes

• 2 approaches: deductive and inductive

• the 7 steps included the: familiarization,  coding, generating themes, reviewing themes, defining and naming themes, evaluating and revision, and writing up

4.Thematic Analysis Parts

• Introduction, Methodology, Results and Findings, and Conclusion

5.Thematic Analysis Table

• consists of codes and themes

step 2 coding Data processing is the systematic sorting and labeling of material in a clear manner on the basis of specific aspects or variables such as themes, concepts, or variables of interest

Step3 generating themes you need to turn the code into theme.

step 4 reviewing themes . This is much more than simply summarising the data; a good thematic analysis interprets and makes sense of it.

Step 5 defining and naming themes- it is clarity their meaning and contribute to data understanding

• The research portion is the content of the information that you got from your research question.

• Thematic analysis is a qualitative method that is usually applied to a set of texts. 

• The thematic analysis has seven steps. 

• You need to analyze it clearly and become familiar with the data you've collected. In coding, you need to highlight some sections of text. You need to generate the themes and also review them. Define and name the theme to clarify the unspecific or unclear text. You need to evaluate and revise it to make it better. 

- The research process involves examining how apparel shops have adapted their business practices to utilize social media platforms.

- This may include understanding the specific social media strategies, tactics, and tools used by these shops to engage with customers, promote products, and drive sales.

2. Flexibility:

- The use of social media by businesses is a dynamic and evolving landscape, requiring flexibility in research approaches.

- Researchers may need to adapt their methods and focus as social media platforms, user behaviors, and business strategies continue to change over time.

3. Interpretation:

- Analyzing the data collected from apparel shops can involve interpreting the meaning and significance of their social media adaptation practices.

- Researchers may need to consider the contextual factors, such as the competitive landscape, target market, and overall business objectives, to fully understand the implications of the observed practices.

4. Difference from content analysis:

- While content analysis may be used to examine the content and messaging on social media platforms, this research topic focuses more on the broader business adaptation practices.

- The emphasis is on understanding how apparel shops strategically leverage social media to achieve their business goals, rather than just analyzing the content itself.

5. Advantages and disadvantages:

- Advantages: This research can provide valuable insights into how businesses in the apparel industry are successfully adapting to the changing digital landscape and leveraging social media to their advantage.

- Disadvantages: Collecting and analyzing data on social media adaptation practices may be challenging, as businesses may be reluctant to share proprietary information or trade secrets.

2nd step coding, after you transcribe the data gathered you need to highlight the important information.

3rd step Generating Themes, you need to turn the code into theme.

4th step defining and naming themes, after you turn the code into themes, you need to clarify their meaning and how this contribute to data understanding.

5th step evaluate the themes and revise those similar themes. After that, you need to input the introduction, methodology, results or findings and coclusion.