Sentence examples for causation effect from inspiring English sources
The causation effect flim-flam of The Butterfly Effect?
This may be an indication that the causation effect between unemployment and later sickness absence, disability pension and death was strong in this young cohort.
A meta-analysis of 104 studies also concludes a causation effect; the conclusion was based on longitudinal studies where health status deteriorates in times of unemployment, but improves in times of reemployment.
For example, in a longitudinal study based on three-wave panel data from 930 respondents, Mastekaasa [ 15] reported evidence for a short-term selection effect as well as a long-term social causation effect.
It seems likely, however, that a reverse causation effect would only give rise to a reduction in the association between breastfeeding and conduct problems in the unrelated group, if this was a reciprocal process involving influences from mother and child, rather than a purely evocative effect of infant temperament.
However, two studies from Sweden and Finland, respectively show evidence for a selection effect; individuals on sick leave or with poor health have an elevated risk of future unemployment., Thus, there is evidence in the literature of both a causation effect and a selection effect when explaining the relationship between unemployment and ill-health.
*VAMs typically measure correlation, not causation: Effects – positive or negative – attributed to a teacher may actually be caused by other factors that are not captured in the model.
We also tested the reverse causation effects of job boredom and work engagement on job crafting and the dynamics between the three job crafting behaviors over time.
Thus, reverse causation effects cannot be ruled out (see e.g. [ 7]).
The genetic approach avoids confounding and reverse causation effects present in traditional epidemiological studies.
Unlike the relatively short three-year period in Butterworth and Rodgers' study [ 7], our 16 years follow-up period makes it possible to draw firmer conclusions with respect to selection effects not confounded by causation effects.
