3 Matching Annotations
- Dec 2017
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crumplab.github.io crumplab.github.io
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A good rule of thumb, then, is that if it is possible to conduct a within-subjects experiment (with proper counterbalancing) in the time that is available per participant—and you have no serious concerns about carryover effects—this design is probably the best option. If a within-subjects design would be difficult or impossible to carry out, then you should consider a between-subjects design instead.
Even if experimenters start with no serious concerns over carryover effects, it seems this can change over time. This to me feels like the hardest choice, because both have significant limitations. Finding the "best" design is difficult and sometimes hard to understand.
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crumplab.github.io crumplab.github.io
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there are several free online analysis tools that can also be extremely useful. Many allow you to enter or upload your data and then make one click to conduct several descriptive statistical analyses
Would these be considered viable within the scientific field? In class we specifically use SPSS, but it's mentioned that Excel can also be used. Would online websites such as these be allowed in publications, conferences, or general research?
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- Oct 2017
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crumplab.github.io crumplab.github.io
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crazy.
Instead of the term "crazy", maybe "irrational" would be a better option. The term "crazy" is outdated and can be used as discriminatory.
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