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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

0 votes
1 answer
769 views

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
Jensxy's user avatar
  • 119
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
Jensxy's user avatar
  • 119
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 …
Jensxy's user avatar
  • 119
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? …
Jensxy's user avatar
  • 119
0 votes
0 answers
186 views

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.) …
Jensxy's user avatar
  • 119