This text makes a tour through the most important aspects of residents' attitudes towards the impact of tourism in relation to some of the most studied variables that attempt to explain the behaviour of residents. The heterogeneity of methodologies and different models or theories proposed to the present day, have not produced results with universal validity or efficacy, so these studies could be directed to the analysis of other variables beyond the tourism sector and especially focusing on local studies. Tourist destinations are places conditioned by history, tourist developments, social and cultural aspects which make each tourist area identified by factors that shape the zone. This paper opens a discussion on the limitations of the methods and theories developed for the study of resident attitudes towards tourism. The creation of a new framework of study that overcomes the identified problems is advocated.
Answer:
Disease models of dependence
Explanation:
Substance-related disorders as a disorder which involves drugs that directly activate the brain reward system, that is feeling of pleasure. It can also be explained as the mental changes which are produced through the use of substances like drugs.
It should be understood that ,this disorder usually occurs through the abuse of banned substances, like drugs, e.g cocaine and alcohol.
Substance-related disorder can also be referred to as substance-induced disorder.
Disease models of dependence can be described as being addicted to substances of biological and environmental sources of origin.
In this case, substance-related disorder is caused through of being addicted to substances like drugs.
<span> the difference between atmosphere and biosphere</span><span> is that </span>atmosphere<span> is the gases surrounding the earth or any astronomical body while </span>biosphere<span> is the part of the earth and its atmosphere capable of supporting life. </span>
Answer: d. confounding; affecting
Explanation:
A spurious correlation refers to a relationship between two variables that seems causal but is not, and is usually created by a confounding factor, meaning a third variable that hasn´t been considered in the research.
For example, noting that drownings rise when ice cream sales grow, might lead us to believe that the increment on ice cream sales may cause more drowning. However, there´s a third factor to be considered: the rising heat makes people want to swim more, rising the possibility of drawing, as well as buy more ice cream.