Author Question: Why does testing of a hypothesized causal model require a large sample? a. Many variables are ... (Read 64 times)

evelyn o bentley · **on:** Jul 8, 2018

Why does testing of a hypothesized causal model require a large sample?

a. Many variables are present, so sample size must be large.
b. The research is experimental, so a large multi-site sample is preferred.
c. Causation cannot be demonstrated in a small sample.
d. Differences are often miniscule, and so the effect size is small.

Question 2

Several television programs, such as American Idol, allows viewers to text in votes for their favorite performer. From a research point of view, this is what kind of a design?

a. Survey
b. Predictive design
c. Model testing design
d. One-group pretest-posttest design

efwsefaw · **Reply #1 on:** Jul 8, 2018

Answer to Question 1

ANS: A
Some studies are designed specifically to test the accuracy of a hypothesized causal model. The model-testing design requires that all variables relevant to the model be measured. A large, heterogeneous sample is required.

Answer to Question 2

ANS: A
The term survey is used in two ways within scientific thought. It is used in a broad sense to mean any descriptive or correlational study; in this sense, survey tends to mean nonexperimental. In a narrower sense, survey is used to describe a data collection technique in which the researcher uses questionnaires or personal interviews to gather data about an identified population. Surveys, in the narrower definition, are used to gather data that can be acquired through self-report. Because of this limitation in data, some researchers view surveys as rather shallow and as contributing in only a limited way to scientific knowledge.