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  2. Data collection in research involves the following steps1234:
    1. Define the population: The group you want to draw conclusions about.
    2. Develop a sampling plan: Determine how you will collect data from a smaller sample within the population.
    3. Choose a sampling method: Probability sampling (random selection) or non-probability sampling (based on convenience or other criteria).
    4. Construct easy-to-use forms: Collect sufficient and unambiguous data that faithfully represent the source.
    Learn more:
    You may need to develop a sampling plan to obtain data systematically. This involves defining a population, the group you want to draw conclusions about, and a sample, the group you will actually collect data from. Your sampling method will determine how you recruit participants or obtain measurements for your study.
    www.scribbr.com/methodology/data-collection/
    There are two primary types of sampling methods that you can use in your research: Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group. Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
    www.scribbr.com/methodology/sampling-methods/
    In quantitative research, a population is the entire group that the researcher wants to draw conclusions about. A sample is the specific group that the researcher will actually collect data from. A sample is always a much smaller group of people than the total size of the population.
    uen.pressbooks.pub/ebpresearchmethods/chapter/…
    The key to successful data collection is to construct easy-to-use forms and collect sufficient and unambiguous data that faithfully represent the source in a structured and organized manner. Effort should be made to identify data needed for meta-analyses, which often need to be calculated or converted from data reported in diverse formats.
    training.cochrane.org/handbook/current/chapter-05
     
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