Answer:
Ecological Validity
Explanation:
According to my research on different research methodology, I can say that based on the information provided within the question this study is lacking in Ecological Validity. This refers to to the extent to which the findings of a research study are able to be generalized to real-life settings. This is because like mentioned in the question this study is addressing a situation that does not happen in everyday life therefore it cannot be generalized to a real-life settings.
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Answer:
a) Malthus ignored other factors like technological change.
Explanation:
Thomas Malthus (1766-1834) was an English cleric and a scholar, most known for his demographics theory. He is an author of <em>An Essay on the Principle of Population</em>, where he observed that increasing production of food resulted in improved well-being of the population, but this was temporary because it led to a population growth. Larger population led to the restoration of original production per capita.
He was mainly wrong because he did not account for improvement in technology of production. Development and widespread use of technology meant that it is not needed to use the same amount of energy to produce goods. Production increased much faster than the increase of population, which resulted in a failure of his theory.
The Indus people believed that bulls were sacred animals of Hinduism who were a gift from god
<span>To draw cause and effect conclusions, one needs to conduct a formal experiment, sometimes called a control experiment. The independent variable in this type of experiment is the only thing that is allowed to changed so the experimenter is able to conclude that the it is the independent variable which affected the dependent variable. In other words the independent variable effects the dependent variable, and it is the only thing that can effect the dependent variable.
This is not true in correlational experiments. Remember the oft repeated phrase that correlation does not mean causation. In other words, a lot of people carry umbrellas on a rainy day (there is a correlation between rainy days and people carrying umbrellas) but the umbrella carrying people did not cause the rain.</span>
