i'm writing my bachelor's dissertation now (BA, so you can guess i have no stats experience) and since im working with quantitative data, i suppose i felt pressured to learn some spss to do my analysis. for the past 2 weeks i've been watching youtube videos explaining how to run just about every test. well, halfway through analysing the data for my final experiment, i realised that it wasn't normally distributed and had a mini meltdown (i've only just wrapped my head around a pearson's correlation, and now i had to learn ANOTHER one?). but i can say that this is the clearest, most in-depth stats tutorial i've come across. thank you for explaining what everything means so beginners (like me) can understand easily!

Very simple and straight to the point. Thanks!

Thank you for this video Prof. Christiansen. It helped me a lot!

Very helpful thank you

Thank you for this video, Dr. Christiansen. This is the best explanation. By the way, may I know where I can get the data for this, please?

Thank you for the presentation. I have both nominal and ordinal independent variables (4) with (2) ordinal dependent variables . Please which one should i choose between Spearman correlation and Chi-square test to analyze the association or relationship between the variables ? Or can we do both of them in the same study? Thanks

Hello can you help me interpret the result of our test?😢 I dont understand and i dont know how to put it in a table

Hello, thank you for your video. I am trying to find the relationship between Happiness (Ordinal variable with more than 5 categories) and Income (continuous variable). In this case, I am having trouble deciding if I should run Pearson correlation (by treating the happiness variable as continuous since it has more than 5 categories) or whether run a spearman's correlation? Also, while I tried to check the assumption for Pearson correlation (treating happiness as continuous), I found that Income is not normally distributed. And when I generated a scatterplot for these two variables, the result is not clear and somehow visually indicates no linear relationship. What should I Do???

Hi Paul, I am trying to test whether the change in the trend of indirect maternal deaths in a specific country is statistically significant. I have four-year data sets but I am wondering what statistical test fits well here? Any help is highly appreciated. Thanks

Hello Nive video! As I have seen that Spearman rho correlation has 3 conditions and one of them is that the two variables should have a monotonic relationship... if the function of the scatterplot btw the 2 variables is not monotonic, can i still use spearman rho? Please help!

Hi! I was wondering why the significance is not "highly significant" since it's 0.01 level like that of Pearson's?

Is it possible to use this Spearman's correlation if the two variables are continuous (scale) and none are ordinal? Our data is not normal so we can't use Pearson's. Thank you!

Hi sir, which one should i use to know the relationship between knowledge-attitude, Attitude-practice, knowledge-practice. I saw in journal they use linear regression, some use spearman correlation coefficient so which one should i use. Or i can just put both in my manuscript

hi. im trying to check whether there is an association of knowledge & attitude on preventing back discomfort. both of my variables are ordinal. what should i use?

hi my spearman's is at -.21 and Pearsons is at -.177 does this mean that it isn't linear data and I have to use another test to see the relationship between them? the data are both nominal

Good day, I'm trying to check if there is an association between gender and responses to perceptions about an invasive alien plant. I.e. if there's any relationship between gender and the perceived negative or positive impacts. Which statiscal test would be suitable for this?

I dont understand why did you write 38? I mean what is the reason for 40-2??

Why do you have to minus 2 in the n? And what does negative correlation means, i mean they are still significant but...?

thanks !

Where can I find data for this exercise?

How do we correlate nominal and ordinal data?