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@adjieprmno: #fypage #fyp

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Saturday 24 October 2026 08:18:18 GMT
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𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: 𝗔 𝗗𝗼𝗰𝘁𝗼𝗿𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿'𝘀 𝗠𝗮𝗽 𝗼𝗳 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗖𝗵𝗼𝗶𝗰𝗲𝘀 1️⃣ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆: Your view of what counts as knowledge and how to get it. Positivism relies on measurable facts, interpretivism on meanings and experiences, pragmatism on whatever works for the question, and critical realism on real structures behind what we observe. 2️⃣ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: How your reasoning flows. Deductive tests an existing theory, inductive builds theory from data, and abductive moves back and forth to find the best explanation. 3️⃣𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗗𝗲𝘀𝗶𝗴𝗻: The overall plan of the study. Quantitative designs (experimental, quasi-experimental, survey) measure and compare. Qualitative designs (case study, phenomenology, ethnography, grounded theory) explore depth and meaning. Mixed methods combine both, in parallel or in sequence. 4️⃣ 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: The tools you use to gather evidence: questionnaires, interviews, focus groups, observations and document analysis. 5️⃣ 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: How you choose participants. Probability sampling (simple random, stratified, systematic, cluster) gives everyone a known chance of selection. Non-probability sampling (purposive, convenience, snowball) picks people for a reason or by access. 6️⃣ 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: How you make sense of the data. Quantitative work uses descriptive and inferential statistics. Qualitative work uses thematic, content or discourse analysis. 7️⃣ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗥𝗶𝗴𝗼𝗿: How you show the study is trustworthy. Quantitative studies show validity and reliability. Qualitative studies show credibility, transferability, dependability and confirmability. 8️⃣ 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: How you protect participants. This means informed consent, confidentiality, anonymity and ethical approval before you start. #fyp #fypシ #thesis #phd #dissertation
𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: 𝗔 𝗗𝗼𝗰𝘁𝗼𝗿𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿'𝘀 𝗠𝗮𝗽 𝗼𝗳 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗖𝗵𝗼𝗶𝗰𝗲𝘀 1️⃣ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆: Your view of what counts as knowledge and how to get it. Positivism relies on measurable facts, interpretivism on meanings and experiences, pragmatism on whatever works for the question, and critical realism on real structures behind what we observe. 2️⃣ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: How your reasoning flows. Deductive tests an existing theory, inductive builds theory from data, and abductive moves back and forth to find the best explanation. 3️⃣𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗗𝗲𝘀𝗶𝗴𝗻: The overall plan of the study. Quantitative designs (experimental, quasi-experimental, survey) measure and compare. Qualitative designs (case study, phenomenology, ethnography, grounded theory) explore depth and meaning. Mixed methods combine both, in parallel or in sequence. 4️⃣ 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: The tools you use to gather evidence: questionnaires, interviews, focus groups, observations and document analysis. 5️⃣ 𝗦𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: How you choose participants. Probability sampling (simple random, stratified, systematic, cluster) gives everyone a known chance of selection. Non-probability sampling (purposive, convenience, snowball) picks people for a reason or by access. 6️⃣ 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: How you make sense of the data. Quantitative work uses descriptive and inferential statistics. Qualitative work uses thematic, content or discourse analysis. 7️⃣ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗥𝗶𝗴𝗼𝗿: How you show the study is trustworthy. Quantitative studies show validity and reliability. Qualitative studies show credibility, transferability, dependability and confirmability. 8️⃣ 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: How you protect participants. This means informed consent, confidentiality, anonymity and ethical approval before you start. #fyp #fypシ #thesis #phd #dissertation

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