- What was Milgram trying to prove?
- Why was the Milgram experiment considered unethical?
- Which research strategy is the best for determining cause and effect relationships?
- What is a disadvantage of correlational research quizlet?
- Why would you conduct a correlational study instead of an experimental study?
- What is an example of a correlation study?
- How many participants do you need for a correlational study?
- What is a decent sample size?
- How many participants is enough for qualitative research?
- Why is sample size important in research?
What was Milgram trying to prove?
Milgram (1963) wanted to investigate whether Germans were particularly obedient to authority figures as this was a common explanation for the Nazi killings in World War II.
Why was the Milgram experiment considered unethical?
The experiment was deemed unethical, because the participants were led to believe that they were administering shocks to real people. The participants were unaware that the learner was an associate of Milgram’s. However, Milgram argued that deception was necessary to produce the desired outcomes of the experiment.
Which research strategy is the best for determining cause and effect relationships?
One of the main strengths of experimental research is that it can often determine a cause and effect relationship between two variables. By systematically manipulating and isolating the independent variable, the researcher can determine with confidence the independent variable’s causal effect on the dependent variable.
What is a disadvantage of correlational research quizlet?
What are the major disadvantages of correlational research? Research results are unlikely to be due to chance.
Why would you conduct a correlational study instead of an experimental study?
The other reason that researchers would choose to use a correlational study rather than an experiment is that the statistical relationship of interest is thought to be causal, but the researcher cannot manipulate the independent variable because it is impossible, impractical, or unethical.
What is an example of a correlation study?
If there are multiple pizza trucks in the area and each one has a different jingle, we would memorize it all and relate the jingle to its pizza truck. This is what correlational research precisely is, establishing a relationship between two variables, “jingle” and “distance of the truck” in this particular example.
How many participants do you need for a correlational study?
When a study’s aim is to investigate a correlational relationship, however, we recommend sampling between 500 and 1,000 people. More participants in a study will always be better, but these numbers are a useful rule of thumb for researchers seeking to find out how many participants they need to sample.
What is a decent sample size?
A good maximum sample size is usually 10% as long as it does not exceed 1000. A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200,000, 10% would be 20,000.
How many participants is enough for qualitative research?
While some experts in qualitative research avoid the topic of “how many” interviews “are enough,” there is indeed variability in what is suggested as a minimum. An extremely large number of articles, book chapters, and books recommend guidance and suggest anywhere from 5 to 50 participants as adequate.
Why is sample size important in research?
What is sample size and why is it important? Sample size refers to the number of participants or observations included in a study. The size of a sample influences two statistical properties: 1) the precision of our estimates and 2) the power of the study to draw conclusions.