Causal analysis using cross-lagged panel correlation was performed to assess whether the relationship between Transcendental Meditation (TM) program participation and decreased crime rate in urban areas is causal. One study involved a random sample of 160 U.S. cities measured from 1964 to 1978; the second study used a random sample of 80 metropolitan areas. Results of both studies suggest that ...

Previous work showed that people‟s causal judgments are modeled better as estimates of the probability that a causal relationship exists (a qualitative inference) than as estimates of the strength of that relationship (a quantitative inference). Here, using a novel task, we present experimental evidence in support of the importance of qualitative causal inference. Our findings cannot be explain...

The purpose of the present study was to investigate the causal relationship between meta-cognitive beliefs about thought suppression and intrusive thoughts. We conducted structural equation modeling using a cross-lagged effect model and a synchronous effect model. Results revealed that the Paradoxical Effect subscale score synchronously increased the frequency of intrusive thoughts. On the othe...

Introduction: The causal dynamics between environment, health expenditures and economic growth has recently started to be studied in the economics literature for both developing and developed countries. Methods: This study examines the causal relationship between CO2 emissions, health expenditures and economic growth using dynamic simultaneous-equations models for Iran over the period 1972-2...

OBJECTIVE Major depressive disorder (MDD) and coronary heart disease (CHD) are both clinically important public health problems. Depression is linked with a higher incidence of ischaemic cardiac events and MDD is more prevalent in patients with CHD. No single comprehensive model has yet described the causal mechanisms linking MDD to CHD. Several key mechanisms have been put forward, comprising ...

Pearl (2000) insisted on the importance of intervention in correlated events for causal induction. In addition, Sloman and Lagnado (2005) demonstrated that people infer differently, depending on whether they observed the events or intervened in them. I suppose that this result can be explained by the difference in the degree of egoinvolvement. The purpose of this study is to examine the effect ...

A national survey of firms that participated in outsourcing relationships was conducted, and service quality and relationship quality were found to be significantly and positively related to each other and both had a significant impact on user satisfaction. However, the intricacies of the causal effects between the two autonomous constructs, service quality and relationship quality, are a sourc...

Intervention theories of causality define a relationship as causal if appropriately specified interventions to manipulate a putative cause tend to produce changes in the putative effect. Interventionist causal theories are commonly formalized by using directed graphs to represent causal relationships, local probability models to quantify the relationship between cause and effect, and a special ...

I discuss two categories of causal relationships: primitive causal interactions of the sort characterized by Phil Dowe and the more general manipulable causal relationships as defined by James Woodward. All primitive causal interactions are manipulable causal relationships, but there are manipulable causal relationships that are not primitive causal interactions. I’ll call the latter constructe...