You must follow the instructions below to get credits for this assignment.
Hint: Make sure to discuss study’s goal, subjects, and variables in the data.
The ECLS took student’s academics and personal information about race, gender, family structure, etc. for each child. The study even included interviews with the kid’s parents using more intimate questions than a typical interview which were very specific such as asking about how much television the children watches. Variables in the data include Correlation and Regression Analysis.
Hint: A correct answer must have a discussion on a main concept of regression, often called as, “all else being equal”, “controlling for other variables”, or “Ceteris paribus”. The author explained this concept using “the circuit board analogy”.
Regression Analysis is a tool that’s used to identify correlations using certain techniques that are found in common statistics. It is also used for economists to organize huge amounts of data at a time. Besides the two variables they are focusing on, they hold constant for every variable. After that, they show how those two variables co-vary. When Regression Analysis is compared to the circuit board analogy, they have multiple children of different ages do a certain task. They have the children put into a sort of circuit board and for each child there is a switch. Each switch represents a certain part of a child’s life such as they’re elementary school grades or their parents income. Based on whether the switches are faced up or down, this is how researchers find out their data and pinpoint which data goes with which child.
Hint: A correct answer must have a discussion on causality versus correlation.
Regression Analysis demonstrates correlation but can’t prove cause. Because of this, there are other ways where the two variables are correlated. Such as if it’s foggy because it’s humid or if it’s humid because it’s foggy, or if they in fact go together.
Hint: See page 150.
After researchers found that students in black and white schools do poorly academically, they saw that these schools have fewer children in each class, many uneducated teachers, and less availability to computers/technology. These schools also offered an environment that wasn’t good for the students but did not in fact affect the children’s academic success. At least in the child’s early years it was found that their school doesn’t affect how they learn.
Hint: For this question, you may need additional information in addition to the assigned reading. You may Google search something like “how does regression control for variables”.
When looking at the effect of one variable, you hold constant all of the other predictors. This is where “Ceteris Paribus” comes in. This is used in order to separate their effects from the other variables.
The message that I get across from this reading are a lot of metaphors. I believe that there are so many so that the reader can better understand how Regression Analysis works. These metaphors helped me put together the different theories shown and explained in the reading and made me think about how they can be used in real life. The study about if children are affected academically due to their school’s environment was the most interesting to me since I knew people who struggled in school growing up when they had a great education. I also knew many people who grew up in terrible situations and environments who did great academically.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.