Recursive Partitioning Methods for Data Imputation in the Context of Item Response Theory: A Monte Carlo Simulation
Missing data is a common problem faced by psychometricians and measurement professionals. To address this issue, there are a number of techniques that have been proposed to handle missing data regarding Item Response Theory. These methods include several types of data imputation methods - corrected item mean substitution imputation, response function imputation, multiple imputation, and the EM algorithm, as well as approaches that do not rely on the imputation of [...]
Cultural differences in the appraisal of stress
We examined the form of the relationship between estimated stress level, [...]
The impact of skin tone on perceived facial beauty: A two-culture study
The impacts of skin tone and shape of face on judgment [...]
The acceptability of physician-assisted suicide as a function of circumstances: A preliminary study of Turkish students’ views
The views of young Turkish people on the acceptability of [...]
Acceptability of Adolescents’ Abortion: Effect of Religious Involvement and Current Legislation on People’s Views
Lay people’s views regarding the acceptability of adolescents’ abortion as [...]
