How to Measure and Draw Causal Inferences with Patent Scope

2019 ◽  
Vol 26 (1) ◽  
pp. 5-38 ◽  
Author(s):  
Jeffrey M. Kuhn ◽  
Neil C. Thompson
1991 ◽  
Author(s):  
Michael E. Young ◽  
Charles R. Fletcher
Keyword(s):  

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
María Jiménez-Buedo

AbstractReactivity, or the phenomenon by which subjects tend to modify their behavior in virtue of their being studied upon, is often cited as one of the most important difficulties involved in social scientific experiments, and yet, there is to date a persistent conceptual muddle when dealing with the many dimensions of reactivity. This paper offers a conceptual framework for reactivity that draws on an interventionist approach to causality. The framework allows us to offer an unambiguous definition of reactivity and distinguishes it from placebo effects. Further, it allows us to distinguish between benign and malignant forms of the phenomenon, depending on whether reactivity constitutes a danger to the validity of the causal inferences drawn from experimental data.


2021 ◽  
pp. 216770262110098
Author(s):  
Baruch Perlman ◽  
Nilly Mor ◽  
Yael Wisney Jacobinski ◽  
Adi Doron Zakon ◽  
Noa Avirbach ◽  
...  

Making negative inferences for negative events, ruminating about them, and retrieving negative aspects of memories have all been associated with depression. However, the causal mechanisms that link negative inferences to negative mood and the interplay between inferences, rumination, and memory have not been explored. In the current study, we used a cognitive-bias modification (CBM) procedure to train causal inferences and assessed training effects on ruminative thinking, memory, and negative mood among people with varying levels of depression. Training had immediate effects on negative mood and rumination but not after recall of a negative autobiographical memory. Note that training affected memory: Participants falsely recalled inferences presented during the training in a training-congruent manner. Moreover, among participants with high levels of depression, training also affected causal inferences they made for an autobiographical memory retrieved after training. Our findings shed light on negative cognitive cycles that may contribute to depression.


2021 ◽  
pp. 154805182110124
Author(s):  
Amelie V. Güntner ◽  
Kai N. Klasmeier ◽  
Florian E. Klonek ◽  
Simone Kauffeld

This study focuses on follower resistance as a potential antecedent of destructive leader behavior and examines leader-related moderators and mediators to help explain the relationship between follower resistance and destructive leader behavior. Drawing from implicit followership theories, we propose that the relationship between follower resistance and destructive leader behavior is moderated by leaders’ Theory X schema. Furthermore, we build on affective events theory to hypothesize that follower resistance increases destructive leader behavior via leaders’ negative affect. We tested our hypotheses in a within-subjects online field experiment. Our study findings demonstrate that follower resistance increases destructive leader behavior and that this relationship is mediated through leaders’ negative affect and moderated by leaders’ Theory X schema. We discuss theoretical implications regarding the impact of (resistant) follower behavior on destructive leadership and offer methodological advances in terms of research design and analytical approaches to deal with endogeneity issues and derive causal inferences. Lastly, we derive practical implications for utilizing follower resistance.


Sign in / Sign up

Export Citation Format

Share Document