Latest

• Conscientiousness, trait self-control, and neuroticism predict individual differences in the variability of goal dimensions
• Multiple imputation of incomplete panel data based on a piecewise growth curve model: An evaluation and application to juvenile delinquency data
• Multiple imputation of longitudinal data: A comparison of robust imputation methods regarding sample size requirements, with an application to corporal punishment data
• Longitudinal relationship between posttraumatic cognitions and internalising symptoms in children and adolescents
• When does criminal victimization undermine generalized trust? A weighted panel analysis of the effects of crime type, frequency, and variety
• Mobile phone‐based approach bias retraining for smokers seeking abstinence: a randomized‐controlled study
• Repressive and vigilant coping styles in stress and relaxation: evidence for physiological and subjective differences at baseline, but not for differential stress or relaxation responses
• Effect of Life Review Therapy for Holocaust Survivors: A randomized controlled trial
• The Metacognition in Self-Control Scale (MISCS)
• Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults
• How to and how not to impute incomplete count data
• 'Push it!' or 'Hold it!?' A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit
• Quantile regression based multiple imputation of missing data - An evaluation and application to corporal punishment data
• Estimation of partially observed non-linear terms in a multilevel model - An evaluation of the robustness of ad hoc and state-of-the-art missing data methods
• Approach Bias Retraining through Virtual Reality in smokers willing to quit smoking: A randomized-controlled study
• Proper multiple imputation of clustered or panel data
• The development of delinquency during adolescence: a comparison of missing data techniques revisited
• Applied Multiple Imputation. Advantages, Pitfalls, New Developments and Applications in R
• Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: A study protocol for a randomized controlled study
• Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: a network analysis
• countimp version 2 – A multiple imputation package for incomplete count data
• Multiple Imputation by Predictive Mean Matching When Sample Size Is Small
• Breath Versus Emotions: The Impact of Different Foci of Attention During Mindfulness Meditation on the Experience of Negative and Positive Emotions
• Strukturgleichungsmodelle mit Mplus - Eine praktische Einführung (2. Auflage)
• Multiple Imputation Under Violated Distributional Assumptions: A Systematic Evaluation of the Assumed Robustness of Predictive Mean Matching
• Multiple imputation of overdispersed multilevel count data.
• Multiple imputation of multilevel count data.
• Multiple Imputation of Zero-Inflated and Overdispersed Multilevel Count Data
• Multiple imputation of incomplete zero‐inflated count data
• countimp 1.0 – A Multiple Imputation Package for Incomplete Count Data
• Efficient ways to impute incomplete panel data
• Multiple imputation of incomplete ordinary and overdispersed count data