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1

I haven't used BIS and BAS scales in my research, so I will only point out some general considerations. Correctness of your correlation analyses.: Double-check your data analysis. Maybe you missed a sign somewhere or you didn't encode some scale correctly. Interpretation of your correlation analyses. Significant correlation isn't that interesting. You ...


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The likelihood ratio test is distributed as χ²with degrees of freedom = the change in degrees of freedom between the two models. So, to give an example dropping one parameter from a model, you would report it like this: χ² (1) = 3.4, p = 0.065


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General reporting recommendations such as that of APA Manual apply. One should report exact p-value and an effect size along with its confidence interval. In the case of likelihood ratio test one should report the test's p-value and how much more likely the data is under model A than under model B. Example: The data is 7.3, 95% CI [6.8,8.1] times more ...


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This is a follow-up after my first answer, this is based on the suggestion of @mfloren in the comments part of his answer. You can't really use an independence test or a kolmogorov smirnov test because your data are not i.i.d. (your subjects give more than one answer). Your scoring idea would fix this, because you reestablish 1data=1subject but this has two ...


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What you are looking for is called Hierarchical, Multi-level or Random-effects model. In your particular case the solution is a hierarchical logistic regression. Assume $y_{st} \in \{0,1\}$ is the response of subject $s$ on trial $t$ and $x$ is the dependent variable then a simple hierarchical model that solves your problem is: $y_{st}\sim ...


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You may be able to reduce errors by telling participants to react slowly. However, by adding this instruction, you may also dilute the response time differences that your are trying to find (whether between or within subjects). If you are lucky, you are just adding random noise, however it is more likely that you will add confounds or tap into different ...


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This idea of score is interesting, but it's painful to assess if the two problems you raised are important or not. For the re-use of the "meaure group" I think it would be careful to not do it. I took much thinking over it and I still don't know what to think. Unfortunately, I have no solution, but if I share my different thoughts process here maybe it would ...


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To measure the frequencies of different patterns (do some patterns occur more frequently that others based on group) I see this as a chi-squared test of independence. If you are unfamiliar with the test, a quick example is here. For your situation, all participants would get the same placements of dots, and you would count how often each possible pattern is ...



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