Explanation:
it has become less restricted over time.
A brief treatment trial tested an adaption of the Penn State Worry Questionnaire (PSWQ) for weekly assessment of worry. 28 nonclinical high-worriers received instruction in cognitive restructuring strategies, with 14 of them acting as a control group in a lagged waiting-list design.
<h3>What do you mean by stoeber, j., & bittencourt, j. (1998)?</h3>
The Penn State Worry Questionnaire-Past Week (PSWQ-PW) was highly reliable and substantially valid in assessing both (a) the weekly status of worry and (b) treatment-related changes in worry, according to the results. The average Cronbach's alpha was 0.91, and the average convergent correlation with a past-week adaptation of the Worry Domains Questionnaire [Tallis, F., Eysenck, M. W. and Mathews (1992). a survey for measuring nonpathological anxiety [Zielke, M. and Kopf-Mehnert, C., Personality and Individual Differences, 13, 161–168.] was 0.63, and pre-post progress on the PSWQ–PW had a 0.71 connection with the Questionnaire of Changes in Experiencing and Behavior (1978). Questions about changing one's experiences and behaviors. Germany's Weinheim: Beltz Test Gesellschaft.
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Answer: Domain, practice and Community
Explanation:
Considering these three attributes makes the purpose of a meeting more inviting and purpose based at achieving the result expected.
Answer:
The conclusion is false, because it is assuming that correlation = causation.
Explanation:
An important principle in statistical analysis is the principle that when correlation exist between two variables or more, it does not mean that one of the variables are causing the other to appear in a certain manner.
Remember that correlation means that you are investigating whether a relationships exists between two variables; in this example, as we can see, it is between the biodiversity in an ecosystem and the population of an insect.
The graph can be said to illustrate the result of the research; that as the biodiversity of the ecosystem goes down, the insect's population goes up. This is a form of negative correlation.
However - we do not know what is the direction of the relationship; the student concludes that as some insects die within the ecosystem, the researched insect's population goes up; assuming that the predator species died off and thus the researched insect's population increases.
Yet, it is also possible for the relationship to go towards the other direction; the researched insect population increases - perhaps by the introduction of a new food source that causes the species' population to increase - and thus, this damages the biodiversity of the ecosystem, making the population go down since it is possible that the researched insect is instead the species which is on top of the food chain at that ecosystem.
To investigate the direction of a relationship, further research need to be done and more sophisticated statistical methods need to be used.
