Recent content by css

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    Interpret Linear Discriminant Analysis and visualization

    Can you explain a bit more about your experimental design? With so little information, it is difficult to suggest a graphical representation of your results. In any case: if you have performed LDA with just two groups/ categories, your subjects can be directly represented in a single dimension...
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    Comparing two dichotomous variables (non-paired)

    Paul, can you explain what would be the aim of your intended analyses? In this regard, you mention that you cannot pair pre-post answers from the same subjects. If that's the case, I do not see how you could statistically compare (you cannot pair them but you cannot treat them as independent...
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    Understanding correlation and regression

    The question has some level of ambiguity. However, I think that the clue is in this part "Build a model that describes the properties of red and white wines (classifies into red and white)". Given that you are asked to build up a predictive model for a binary classification task (red/ white...
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    Statistical significance

    I agree with all previous comments... there is no proper answer to an undefined question. In any case, since you have count data and 3 different situations (allergy, suspected, no-allergy), a chi-squared should provide you an answer (although, as mentioned in previous answers, the small sample...
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    effect size and significance

    Hi coco34, If you want to receive help, you should probably provide more information about your question (i.e. which formulas were provided to you). In any case, regarding your first question: if the 95% confidence interval between two means does not include the value 0, the difference is...
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    How to intrepret this Correlation Matrix result from R ?

    I am not familiar with this package or this particular measure of correlation. However: 1) if you explain why are you attempting, it would be more likely that you receive useful comments; 2) without knowing the details about this function, it seems pretty apparent that correlation between...
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    Effect size in regression

    Hi Noetsi, thanks for your clarifications.
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    Effect size in regression

    Hi Noetsi, thanks for your reply. I have a doubt on your (and Hlsmith) comment: You both coincide when suggesting that the authors of this report might be trying to standardize the slope coefficient. However: 1) if that would be the goal, would it not be achieved when dividing by the standard...
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    Effect size in regression

    Hi hlsmith, Thanks for the suggestion. Here is the link to the paper.
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    Effect size in regression

    Hi hlsmith, Thanks for your answer. Unfortunately, the methods section is very short and table/ figure legends do not provide further details. Let's see if anyone else has seen this procedure before and can provide further details. In any case, your answer is very much appreciated
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    Effect size in regression

    Hi everyone, I am reading an article at which authors used an effect size that it's totally new to me and I do not know how to interpret it. I would appreciate if anyone could explain its meaning or provide any reference about its interpretation. Below, I paste some sentences from the original...
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    Local association measures

    Hi everyone, I have read that there are local measures of association to be used when wanting to conduct a finer-grain analysis of an X-Y association (Grissom and Kim, pages 101-102). However, this comment is framed in the context of two continuous variables and I wondered whether these local...
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    Percentages and statistical significance

    Hi Sh7, I am not a stats expert but, perhaps, my comments would be useful to you. If I understood properly, you want to compare two proportions (you do not need to transform them to %): The proportion of false memories in the condition "distractor" and the proportion of false memories in the...
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    effect size

    Hi Moyu, Interpretation of effect size is always context-dependent. In clinical contexts, even small effects might be important. This is easy to understand if the treatment being tested is actually saving lives (i.e. only one 1% more of efficacy could save the life for thousands of people!) If...
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    How to summarize a pattern of correlations?

    Hi, I have performed a small memory study at which participants could commit two types of errors (false positives and false negatives; F+ and F-) in four different stimuli categories. I have observed that the two kinds of errors (F+ and F-) for two stimuli categories show a reciprocal pattern...