* CS8607 Research Methods Lecture 1

 Research


What is research?
Collect evidence, verify who collected the evidence and that they have valid methods and expertise in the area. Evidence-based case should be refutable or falsifiable. Then an hypothesis is formed. 

Research: Is the collecting and analyzing of various kinds of data and information to gain more knowledge and have a better understanding about a topic. These results should be clear and convincing and have the ability to be repeated. 

Four Key Elements: Systematic Contributing of Knowledge
1. Knowledge
    - Higher level of understanding than just data
    - Connected to other concepts
    
2. Contribution
    - Extend our individual knowledge and eventually share new ideas, theories and results

3. Originality
    -
4. Systematic

Research Process:

1. Identify the problem
     - Is it researchable? Not all problems are. Where do problems come from? Known Flaws, during the         design process you might run into some problems

2. Reviewing Literature
    -what have other people done already that forms your opinion. Use literature to help solve your problem
    -explore results and methods
    -focuses investigation
    -limit wasting your time but gathering information that someone else already took the time to figure out
    - gives you tools for analyzing the data
    -check for Validity, Synthesis and Relevance of the literature before using it 

3. Setting Research Questions, Objectives or Hypotheses
    - Questions: need to be clear, specific, Synthesizes evidence, testable and repeatable
    - Null Hypothesis (H0): no difference and look for the data that proves there is a difference
    - Testable Hypothesis (H1): 

4. Choosing the Study Design
    - Quantitative, Qualitative or mixed
    - Quantitative Research: correlational and survey (or descriptive)
        - count things to describe the 11:00am
    -Quantitative: Hypotheses, numerical data, consensus, norms, generalizability, values objectivity
    - Qualitative: Research questions, words as data, local meaning, patterns, divergence & difference, and     values subjectivity
    - Quantitative: 

5. Deciding on the sample design
    -Sampling is a subset of the users (10% of the 100%)
            - can be more narrow 10% of the left handed male UK based users - If that helps address your                     research question
    -Probabilistic: examples- Random sampling, Stratified sampling and cluster sampling
    -
6.

7.


Questions:
Do you weight different inputs and feedback from users? 

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