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    Generalized linear mixed model, continuous variable, zero values

    I think that a zero inflated Poisson model is for count data, but my data are continuous. I guess a zero inflated gamma model could work but there is no such option in SPSS.
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    Generalized linear mixed model, continuous variable, zero values

    Hello, I have conducted a longitudinal study with four waves of data collection. My data have a nested structure: there are four levels in my data (time - level 1, student - level 2, class - level 3, school - level 4). Student sample size = 51 (no missing values) I want to fit generalized...
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    Friedman's test for ordinal variable

    Hello, Could I please get some feedback with regard to whether my thinking below is correct? My participants (n=51) were measured at four time-points participating in various activities. I would like to see whether their participation in each activity changed over time. Participation in each...
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    Effect sizes - Friedman's test

    Hello, I have a question regarding which measure of effect size to use. For Friedman's test, do I report the effect size when the result of the test is insignificant? For example, Field (2014) only reports the effect size of the post-hoc tests, but not the effect size for Friedman's test. If I...
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    Reporting Fisher's exact test (chi squared test)

    I found this link (http://www.pmean.com/00/fishers.html) which states the following: ******* "I did get an inquiry from someone about how to report Fisher's Exact Test in a publication. This is tricky, because this test only provides a p-value. Fisher's Exact Test has no formal test statistic...
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    Reporting Fisher's exact test (chi squared test)

    Hello, I have conducted some chi squared tests but because the assumption for "minimum expected cell frequency" was violated, I'm using the value for Fisher's exact. However, I don't know how I can report the output. For example, the normal chi squared would be reported like this: χ2 (1...
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    Significant Friedman's test but non-significant post-hoc tests

    Yes, small (n=51) and positively skewed - most participants had low scores. Thank you.
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    Significant Friedman's test but non-significant post-hoc tests

    No, my data is continuous, but non-normally distributed. That's why I used Friedman. I thought that Wilcoxon tests are the post-hoc tests after I conduct the Friedman's test, to check were the difference lies if the test gives me a significant result. Thank you.
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    Significant Friedman's test but non-significant post-hoc tests

    Do you mean that you don't apply the Bonferroni correction in your post hoc tests? So you use the ones that are below the 5% level? I only apply the corrections because everybody else in my field does it, so I just follow the norm... Another thing that I tried is I conducted Wilocoxon tests...
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    Significant Friedman's test but non-significant post-hoc tests

    Hello, I am running a Friedman's test because I want to see if there is any difference in my participants' scores across 4 time-points. My sample is n=51. I ran the test and it revealed a statistically significant difference (p = 0.29). Then I conducted post hoc tests to see where the...
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    Association between non-normal continuous variable and dichotomous variable

    Thank you. What do you mean when you say "random"? My sample is a convenience sample, unfortunately. Also, what do you mean by "control variables"? How can I add those?
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    Association between non-normal continuous variable and dichotomous variable

    Thank you very much for this link.
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    Association between non-normal continuous variable and dichotomous variable

    Thank you very much for all the advice. Basically, what I'm trying to do is see if there is association between variables in order to prepare my data for regression. Although I find that this is straightforward with my continuous variables, as I have collected all statistically significant and...
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    Association between non-normal continuous variable and dichotomous variable

    I'm not sure this applies to my data because it is one group of students. It's just that some of them said YES to having participated in certain activities and others said NO. So, the two groups that emerge (YES students and NO students) don't represent any specific population... Also, for some...
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    Association between non-normal continuous variable and dichotomous variable

    Yes, the continuous variable is my dependent variable. My sample size is n=52 but I excluded one participant because he was an extreme outlier. So, for my analysis I use n=51. Even with the exclusion of the outlier, the dataset remains positively skewed. I am looking into students'...
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    Association between non-normal continuous variable and dichotomous variable

    Hello, I'm trying to examine the association between a non-normally distributed continuous variable and a dichotomous variable: yes/no. At first, I thought I should conduct point-biserial correlations but then I realised that in point-biserial correlations, the continuous variable needs to be...