Final answer:
The claim that the unit of sample and the unit of analysis are always different in a content analysis is false. In hypothesis testing on matched or paired samples, it is true that two measurements from the same pair and two sample means are compared. Also, human experiments are permissible with ethical considerations, and larger sample sizes are generally preferred in scientific experiments.
Step-by-step explanation:
The statement that the unit of sample and the unit of analysis are always different in a content analysis is false. The units of sample and analysis can be the same or different, depending on the research design and the objectives of the study. In content analysis, which examines text or image representations, the unit of analysis is the element of content that is being analyzed, such as a word, phrase, theme, or image. The unit of sample is the collection of these elements that have been selected for analysis. These units may overlap if, for example, the study is designed to analyze the frequency of a specific word across several texts, where each occurrence of the word is both a sample unit and an analysis unit.
In the context of hypothesis testing for matched or paired samples, such as in medical studies or matched-pair designs, it is true that two measurements are drawn from the same pair of individuals or objects (B), and two sample means are compared to each other (C). Therefore, the correct statement regarding matched or paired samples is that Answer choices B and C are both true.
When it comes to experiments, it is false to say that experiments cannot be done on humans; human experimentation is common in fields such as medicine, psychology, and social sciences, but it must follow strict ethical guidelines. Additionally, it is true that larger sample sizes are generally better than smaller ones in scientific experiments, as they can provide a more reliable estimate of the population parameters, reducing the margin of error and increasing statistical power.