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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
0
votes
1
answer
769
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Combine multiple items with ordinal scale
scale from 1 to 5
Example of a result from the survey:
Item 1 was scored with 2
Item 2 was scored with 4
One option: I just sum up the scores so that the resulting score is 6, which I then use in my regression …
1
vote
1
answer
695
views
Latent Variable - Items with different scales
Afterward, I would like to use the latent variable in a linear regression model, however, I don't know how to summarize the 6 items to come up with the variable that I can use in the regression model. … scale from 1 to 6
Fourth item has a scale from 1 to 3
Fifth item has a scale from 1 to 2
Sixth item has a scale from 1 to 2
Can I just sum up all the scores and take the sum as the input variable for my regression …
1
vote
1
answer
434
views
Interpretation of different logistic regression models to test hypotheses
I would like to test two hypotheses, but I am a little bit confused. I have a binary dependent variable z, my key variable a is also binary and three control variables b, c and d.
Now I want to test …
0
votes
0
answers
30
views
Calculate sample size for linear regression [duplicate]
I want to use a hierarchical regression to test for my hypotheses.
How can I calculate the needed sample size (using G-Power)? … In G-Power: Do I use 'Linear multiple regression: Fixed model, R2 increase' to calculate the sample size? If yes, what effect size should I use to calculate the sample size? …
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0
answers
186
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Linear regression for within-subjects
Is that a problem for linear regression? Moreover, how do I test my hypotheses? I thought about a hierarchical linear regression to control for other variables when I test for my main hypothesis (2.) …