Johannes Zimmermann
@jzpsych.bsky.social
"Large pre-post treatment effects" 🫢
February 4, 2025 at 12:15 PM
"Large pre-post treatment effects" 🫢
We evaluated the German translation:
doi.org/10.31234/osf...
doi.org/10.31234/osf...
OSF
doi.org
January 14, 2025 at 4:55 AM
We evaluated the German translation:
doi.org/10.31234/osf...
doi.org/10.31234/osf...
@tkaiser.science et al. (2021). The distinction between psychometric and clinimetric approaches will not move the field forward. doi.org/10.31234/osf...
OSF
doi.org
January 14, 2025 at 4:44 AM
@tkaiser.science et al. (2021). The distinction between psychometric and clinimetric approaches will not move the field forward. doi.org/10.31234/osf...
Sounds familiar. In search of a model of personality that embraces deep-seated fears and motivations: doi.org/10.1111/j.14...
A Clinical‐Empirical Model of Personality: Life after the Mischelian Ice Age and the NEO‐Lithic Era
ABSTRACT A theory of personality should lead to both accurate prediction and interpretive understanding. Aside from its empirical uses, a personality theory should provide a grammar that allows perso...
doi.org
January 10, 2025 at 8:26 AM
Sounds familiar. In search of a model of personality that embraces deep-seated fears and motivations: doi.org/10.1111/j.14...
In any case, I fully agree that we should make the conceptual implications of using OW explicit in the manuscript (i.e., estimating ATO instead of ATE). We will also consider looking at the results of different strategies as a robustness check. (3/3)
November 23, 2024 at 10:40 AM
In any case, I fully agree that we should make the conceptual implications of using OW explicit in the manuscript (i.e., estimating ATO instead of ATE). We will also consider looking at the results of different strategies as a robustness check. (3/3)
… resulting in extreme weights that have a strong influence on the estimated model parameters. This was the case in our data: For example, the variance inflation factor was 1.20 for IPW, but only 1.09 for OW. Here are the distributions: (2/3)
November 23, 2024 at 10:40 AM
… resulting in extreme weights that have a strong influence on the estimated model parameters. This was the case in our data: For example, the variance inflation factor was 1.20 for IPW, but only 1.09 for OW. Here are the distributions: (2/3)
Thank you very much for your helpful feedback! We preferred overlap weights (OW) mainly for statistical reasons. Inverse probability weights (IPW) often have problems because some individuals' propensity scores are too close to 0, … (1/3)
November 23, 2024 at 10:40 AM
Thank you very much for your helpful feedback! We preferred overlap weights (OW) mainly for statistical reasons. Inverse probability weights (IPW) often have problems because some individuals' propensity scores are too close to 0, … (1/3)