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Anonymous User shared last document 2 months ago

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Anonymous Lipstick

10 months ago
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Hey dear Anonymous! Will you provide the same type of summary for the other modules? I would appreciate it a lot! Thanks :)

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Anonymous Bang

10 months ago
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Hey! Have you got the outputs/notes from the other RLectures please? I would be eternally grateful (since I want to graduate this year..) Thanks!

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stay hydrated kids
14934
10 months ago

i do! ill upload them as soon as iâ€™m done with them ðŸ˜‰

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Best Answer

Anonymous Bang
10 months ago

Thank you so much!

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Thank you so much for sharing this! Do you have, by any chance, the previous ones?

MD
419
11 months ago

I will do them one by one soon, this is actually the first one I did properly :D

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Hey, Does anyone still have their SPSS II practical notes? would be greatly appreciated?

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Anonymous Music

1 year ago

Can someone tell me how i can calculate the estimated marginal means?
I think Nick once mentioned a formula in a PLecture but i cannot find it in my notes

Jul ZZZ
462
updated 1 year ago

Anonymous Music
1 year ago

You're a lifesaver, thank you!! :)

Hey all,
I 'm having difficulties understanding when we can say something about just the sample, or about the population as a whole as well. ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿ï»¿In almost all previous exams, there's a question in the form of 'according to the output, what can we say about the effect of ... on the sample and/or on the population'.
I'm inclined to think that we can always only say something about the sample, given that our experiment is just a random sample of a much bigger population, but according to the answer models this is not the case.
Could someone help me out in distinguishing these two? E.g. which data in the SPSS output belongs to what, or when will the effect of sample/population not be the same?

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Anonymous Money Exchange
updated 1 year ago

Basically, you can ONLY answer questions about the Population based on formal tests (t-tests, F-test etc.). So for example let's assume you have a one-way ANOVA and want to test the effect of 3 treatment groups. Treatment group 1 has a mean of 130, group 2 a mean of 140 and group 3 a mean of 160. The ANOVA then tests if the mean difference that you observe in the SAMPLE, is also the case in the POPULATION!
So whenever a questions asks about the SAMPLE -> Look at the results of your actual data (Descriptives, Plots etc.) in the example above, we would answer that there is clearly a mean difference in the Sample (-10 between G1 & G2, -20 between G2&G3, -30 between G1&G3)
Whenever asked about POPULATION -> Look at significance of tests. Let's say ANOVA yielded the p-value 0.3 - we'd say that there's no mean difference at population level, as there was no significant result

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Anonymous Notebook

1 year ago

When H0 is not true, MS within is an unbiased estimator of the error variance only, not MS between :)

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Anonymous Pineapple

2 years ago

Hi! Does anyone know why in the 'formatieve toets' week 5 the answer to question 6 is D?

Anonymous Banana

2 years ago

Is there maybe anybody who has good notes of the practical lectures and the right SPSS Outputs? I sometimes had problems to follow him. Thanks a lot:)

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Anonymous Moneybag

2 years ago

Could anyone share their answers to the study questions from weeks 2 and 3 ? :-) It would be awesome. Thank you :-)

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Anonymous Floppy Disk

2 years ago

I don't really get the idea of interaction effects.. "the two profiles are roughly parallel so there is no clear interaction bewteen location and yearthese two parameters"... but I find the profiles look pretty parallel??

Anonymous Credit Card
2 years ago

parallel = no interaction (the graph in the picure is just slightly non-parallel, so you can still say that there is no (significant) interaction)
for non parallel graphs the Field book says:
- Non-parallel lines on an interaction graph show up significant interactions. However, this doesnâ€™t
mean that non-parallel lines always reflect significant interaction effects: it depends on how nonparallel
the lines are.
- If the lines on an interaction graph cross then obviously they are not parallel and this can be a dead
give-away that you have a possible significant interaction. However, if the lines of the interaction
graph cross it isnâ€™t always the case that the interaction is significant.

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