++++++ Ask your M&T questions and an experienced Success Formula tutor will answer them as soon as possible ++++++
Do you have troubles with M&T and no one can help you with your questions? Today’s your lucky day. Just post your question as a separate post on Study Drive and one of our professional tutors will answer it for you.
That’s not enough you say? Make sure to check out our offers for Private Teaching Sessions, Weekly Meetings and Crash Courses on successformula.nl
We wish you Success!
Your Success Formula Team

+3

View 1 more comment

Simon We
42
5 months ago

If there is a pattern in the residual plot linear regression does not fully describe the association between x and y.
In this case you need a curvilinear regression or you cluster it and make two regression lines.

+1

Success Formula Niklas
98
5 months ago

And for 7 its C because if it was a correlation of r=-1 all the points would lie perfectly on the 0-line :)

+2

View 1 more comment

Coffee Addict
1215
5 months ago

Here is the solution, I can confirm it is correct since I wrote it down from last year's response lecture :)

+2

Biene
36
5 months ago

summaries of the theoretical part + flash cards, doing all the stats task of PBL sessions and the practice exam

+1

View 3 more comments

Franziska Ko
8
5 months ago

I'd actually say that you report the standard deviation rather than the variance because it has the same unit as the variable. And I don't really get why the standard deviation would be a standardised measure, it's different for every case. With the standard deviation, you still have to look at the data to see if a certain score/value is unusual. That's why you use z-scores (standard scores). At least that's the way I understood it.

Success Formula Niklas
98
5 months ago

You're right, I was talking about the Z-scores in the first answer. Long day... :D
They are both quite abstract concepts and as you will see, in practice they also report the variance. From my experience, the power of the standard deviation comes from the use of the Z-scores. So you can see how exceptional a given score is. Even though there are quite some other interesting things you can infer from a standard deviation (or comparison of multiple standard deviations) :)

View 1 more comment

Welcome to the Methods and Techniques course!!
If you are looking for some additional help, check out our website: https://successformula.nl/Maastricht/
We offer different classes for the course to make sure you will pass the course successfully!!

+1

hi guys, does someone know where i can find example exams? Cause i just find here the one that is so similar to the October one (2018/2019) . Thank you!

+3

hey does anybody here have a really good summary of the M&T content that is important for the resit exam?

+3

Carl Becker
388
updated 1 year ago

A nice summary indeed :D
Here on Studydrive there is also another section for "Statisitcs for psychologists I", if you want to see more helpful things like this :)

Hey guys, Im a bit confused about all the different variables, Mediator vs Moderator , Confounding and so on and how they all realate to each other. ( Task 7 & last weeks lecture). Does anyone have like a big overview of all of these aspects ? Like wich variable falls under wich category ? Thanks :)

+4

View 1 more comment

good luck
535
1 year ago

Did I get it right, that Moderator and Mediator variables are a subgroup of Confounding variables in general?
So it is like the overall term is: Extraneous Variables ---> A type of extraneous Variables are --> Confounding Variables in general and they could for example be --> Mediator and Moderator variables?

Carl Becker
388
1 year ago

I am not sure if I would group them like this, but it is also nothing that you have to do.
The more important thing is to understand the concept behind each :)

Anonymous Bang
1 year ago

Depending on the data you can assume how the graph would look like . I didnt learn how to calculate them. Im just able to recognize them when i see them in a plot

Carl Becker
388
1 year ago

If you can see it from graphs that is already great.
You could also calculate it when you have a frequency table, eg a 2x2 table Main effects=colums or rows differ on average, interaction = if you make substractions within a row the results fromt he two rows differ.
2 4 The averages of the colums are both 3 no main effect, same for the averages of each row
4 2 If you calculate 2-4= -2 that differs from the other row 4-2=2, hence there is interaction

Hey,
can someone explain me where the difference between a "randomized multigroup design" and a "mixed factorial design" is?
thank you

+2

Anonymous Dice
1 year ago

in the randomized two or multigroups design, you assign randomly but each group is just for ONE randomly selected level of your independent variable. in the mixed factorial design you use your subjects for each level of your independent variable like you do it in a within subjects design. The mixed design is explained in the m&T book on p. 327

View 2 more comments

Joshua Hehn
80
1 year ago

So my tutor said:" Mediation, Moderation and third-variable problem are all types of confounding"
Difference extraneous variables and confounding variables:
Extra variables that may or may not interfere with my experiment are extraneous variables (basically everything you can think of when conducting an experiment)
--> those with an impact on my result are called confounding variables.

+1