I've been thinking a lot about the various research approaches because I'm teaching a senior-level research methods class with a lab this spring. This blog is a bit longer than our typical blogs because I'm tackling some big topics, but hopefully you'll find the discussion of various research methodologies, together in one place, as important as I do! We truly have no idea whether the learning intervention caused any learning in this case. academic writing help in kenya While not all methodologies discussed in this blog allow us to determine cause and effect, but they have other strengths that go along with them. If two variables are related, or correlated, then we can use one variable to predict the value of another variable.
This makes sense, at least to me, as there are so many nuances that it can take years to become truly proficient in conducting research in our own areas. This random assignment helps create equivalent groups from the beginning. best college paper writing service in australia Finally, there is one design that you might see pop up here and there, and it has so many problems that it's worth mentioning explicitly. There are a lot of individual approaches that fall under the descriptive research umbrella.
We have said many times before that "it takes a village" and open communication to solve large problems. There are a few things that are required in order for research to be considered a true experiment. writing essays custom structure paragraphs There are a number of ways to implement counterbalancing to maintain control in an experiment so that researchers can identify cause and effect relationships.
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This means that each individual participating in the experiment is serving as their own control. Lets say we find that the two are correlated, where increased caffeine is related to higher test performance. The solution to this problem is to approach the question with a number of different experiments, and to include the other research approaches to get a better picture of what is going on. There is also a special type of observation research called participatory observation.
If we find that our manipulation led to greater learning compared to the control group, and we made sure to conduct the experiment properly with random assignment and appropriate controls, then we can say that our manipulation caused learning. Using pre-tests and post-tests in research is acceptable, but only if there is a control group for comparison! We cannot determine a cause and effect relationship from descriptive research.
Pre-test Post-test designs Finally, there is one design that you might see pop up here and there, and it has so many problems that it's worth mentioning explicitly. With the amount of time and dedication that it takes to become an expert researcher and an expert teacher, it would be hard for one person to become both! The specifics of how to do this are not important for our purposes here. They also know that people living in certain areas are more likely to get into car accidents due to dense populations, or to have their car damaged while parked.
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If two variables are related, or correlated, then we can use one variable to predict the value of another variable. No, of course not. help with paper formatting reddit In the lab to classroom model, we start out with basic, highly controlled experiments in very artificial settings. If we find that our manipulation led to greater learning compared to the control group, and we made sure to conduct the experiment properly with random assignment and appropriate controls, then we can say that our manipulation caused learning.
For that reason, this research is inherently quantitative. Take caffeine average consumption and average test. dissertation report on retail banking In other words, the effect might not be generalizable. Specialization seems necessary; however, this is exactly why effective communication and collaboration is key.
In the lab to classroom model, we start out with basic, highly controlled experiments in very artificial settings. We just don't know from the correlation alone, but knowing that the two variables are in some way related can be very useful information. help writing college application essay need If a researcher asks a student to describe their learning process, or conducts in-depth interviews with teachers about classroom learning, then we are dealing with qualitative research. If the researcher is asking a lot of open-ended questions, then we might call the research an interview , or a focus group if there are a few people discussing a topic and answering questions in a group.
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Usually, we're repeating experiments with little changes to continue obtaining new information. The more control we have, the better measurement we have. This makes sense, at least to me, as there are so many nuances that it can take years to become truly proficient in conducting research in our own areas. Correlational research can help us understand the complex relationships between a lot of different variables. Note, sometimes we can systematically manipulate multiple things at once, but these are more complicated designs.
A classic example involves a researcher, Leon Festinger, who joined a cult who believed the world was going to be destroyed by a flood in the s. This type of research allows us to make predictions, and can tell us if two variables are not related, and thus searching for a cause-effect relationship between the two is a huge waste of time. This random assignment helps create equivalent groups from the beginning. The types of questions can vary.