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The differential susceptibility theory proposed by Jay Belsky [1] is another interpretation of psychological findings that are usually discussed according to the diathesis-stress model. Both models suggest that people's development and emotional affect are differentially affected by experiences or qualities of the environment.
The concept of Environmental Sensitivity integrates multiple theories on how people respond to negative and positive experiences. These include the frameworks of Diathesis-stress model [4] and Vantage Sensitivity, [5] as well as the three leading theories on more general sensitivity: Differential Susceptibility, [6] [7] Biological Sensitivity to Context, [8] and Sensory processing sensitivity ...
Several studies report that differences in response to positive experiences are associated with genetic sensitivity. For example, Keers et al. created a polygenic score for environmental sensitivity based on thousands of gene variants and found that children with higher genetic sensitivity responded more strongly to higher quality of psychological treatment.
In conservation biology, susceptibility is the extent to which an organism or ecological community would suffer from a threatening process or factor if exposed, without regard to the likelihood of exposure. [1] It should not be confused with vulnerability, which takes into account both the effect of exposure and the likelihood of exposure. [2]
Identify the model output to be analysed (the target of interest should ideally have a direct relation to the problem tackled by the model). Run the model a number of times using some design of experiments, [15] dictated by the method of choice and the input uncertainty. Using the resulting model outputs, calculate the sensitivity measures of ...
For the full specification of the model, the arrows should be labeled with the transition rates between compartments. Between S and I, the transition rate is assumed to be (/) / = /, where is the total population, is the average number of contacts per person per time, multiplied by the probability of disease transmission in a contact between a susceptible and an infectious subject, and / is ...
A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]