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Research Methodology 1 Guest on 18th September 2023 06:25:45 PM
  1. Research Methodology
  2.  
  3. Hypothesis - the values need to be provided for the prediction.
  4.  
  5. Once the hypothesis becomes sound, it becomes a theory.
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  7. First step: Characterization - Obersartions, MEasurements, etc
  8. Second step: Hyphothesis - Explanation of observations
  9. Third step: Predictions - Reasoning, logical deduction
  10. Fourth step: Experiments - Data collection
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  12.  
  13. Take out of the effect from the cause - Deductive reasoning
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  15. Generalize from limited observations - Inductive reasoning
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  17.  
  18. Finding the cause from the effect - Abduction
  19. E.g, water all over the area, so it could be predicted that there was rain
  20.  
  21. Hypothesis can be generated from these three reasoning.
  22.  
  23. Problem Solving:
  24. Analogy: Look for similar problem which is solved.
  25. Partition: To break problems into smaller sub problems to solve it easily
  26. Random/Motivated Guesses: Guessing a solution to problem
  27. Generalize: Find essential feature of specific problem and tell a general problem.
  28.  
  29. Different types of research
  30. Basic/Fundamental Research - No immediate use of the experiments. E.g, astronomy, elementary particles, chemical reactions
  31. Applied Research - Immediate use of the experiment.
  32.  
  33. Quantitative and Qualitative Methods
  34. Both are used in the research.
  35.  
  36. Other types of research
  37. Survey - Qualitative - Using the interviews
  38. Case Study - Qualitative Research, detailed exploration of single situation
  39. Action Research - Qualitative and Quantitative - It is done when very less information is present
  40. Experiment - Quantitative - Testing in a controlled environment, modifying the variable to check the effects
  41.  
  42. Research process models
  43. 1. Sequential - This works like waterfall model.
  44. Problems:
  45. Cannot go back to previous step
  46. Not generalized
  47. 2. Generalized - Subject Specific Models, e.g, natural science and mathematics
  48. Problems:
  49. No repetiton
  50. Starting and order point fixed
  51. 3. Circulatory - Can be any starting point and can repeat the process
  52.  
  53. 4. Evolutionary
  54. With time, the algorithm, tools are being changed.
  55.  
  56. Selecting the topic for research
  57. Area of interest

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