Table of Contents
Why might different scientists get different answers to the same problem?
[S]cientists differ in their knowledge, beliefs, and abilities. As a result, different scientists can analyze similar data in different ways and ask very different questions. The two main reasons, then, are (1) taking different approaches to analysis of data and (2) asking different questions about the same data.
Why are conclusions more reliable if other scientists are able to repeat the results?
When studies are replicated and achieve the same or similar results as the original study, it gives greater validity to the findings. If a researcher can replicate a study’s results, it means that it is more likely that those results can be generalized to the larger population.
Why do scientists draw conclusions?
Why do scientists draw conclusions? Scientists draw conclusions about what they have discovered by interpreting their data. This scientist may be able to use his data as evidence to support his hypothesis. Scientists must describe exactly what they did in an experiment and how they did it.
Which best describes why scientific models change over time 1 point?
Which best describes why scientific models change over time? As technology advances, new experiments often expose problems in accepted theories. They are the results of many experiments over a long period of time.
What is one way that scientists can come to different conclusions from the same data?
Because referees are likely to display the same bias in different games, counting each referee multiple times can alter the result. So, after discussing their approach with other teams, some scientists changed their minds, and counted the information differently.
What problems can science not solve?
Love, hate, relationships, poetry, art, music, literature, and spirituality are all outside the realm of science. Any problems that arise in these areas cannot be completely solved by science.
How do you know if a study is internally valid?
How to check whether your study has internal validity
- Your treatment and response variables change together.
- Your treatment precedes changes in your response variables.
- No confounding or extraneous factors can explain the results of your study.
What happens when scientists are given the same information?
Giving the same information to multiple scientific teams can lead to very different conclusions, a report published today in Nature shows. And that’s exactly why two researchers think scientists should share their data with others — well before they publish. In this experiment, 29 scientific teams were given the same information about soccer games.
What to do when people draw different conclusions from the same data?
Though most companies don’t have 60 analysts to throw at every problem, the same general approach to analysis could be used in smaller teams. For instance, rather than working together from the beginning of a project, two analysts could each propose a method or multiple methods, then compare notes.
Can you ask two data scientists the same question?
But in practice, as every analyst knows, interpreting data is a messy, subjective business. Ask two data scientists to look into the same question, and you’re liable to get two completely different answers, even if they’re both working with the same dataset. So much for objectivity.
Why do some scientists think data analysis makes a difference?
That’s why some researchers think that opening up the data analysis process before a study gets published could make a difference. That approach might lead to less flashy conclusions — but those conclusions would also probably be more robust. “Once a finding has been published in a journal, it becomes difficult to challenge.