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 early childhood Longitudinal Study measured the progress of twenty thousand kids throughout elementary school. All children were picked all across the country so they can get a wide spread of data. They got this data from a bunch of schools in every state. They quizzed the parents and administrators about the way students were brought up. And based on what the parents were saying to analyze the different parententing styles. The whole point of this study was to understand every aspect of a child’s life compared to their academic performances.
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 helps researchers determine strength of correlations between tons of different variables. It’s a set of statistical processes estimating the relationships between a dependent variable and one or more independent variables.
Hint: A correct answer must have a discussion on causality versus correlation. The problem is that it cannot give 100% accurate answers. Not every answer will be accurate because it’s a yes or no question and there isn’t really a direct answer. Correlation type questions can help you because they’re better worded to understand and give a more direct answer.
Hint: See page 150. The quality of schools is based on class size and student to computer ratio. Therefore, their is an impact in test scores depending on the school requirements and depending on the quality of the school.
Hint: For this question, you may need additional information in addition to the assigned reading. You may Google search someting like “how does regression control for variables”.
Ways to control the quality of the school in this study is to look at the independent varabiables that they would at least consider to effect the quality of the school . The dependent variables that they’re interested in can help that because they can use the dependent variables to remove the effects of the situation because with regression. The dependent variable is related to the independent variable so they can use that to remove their effects of the situation. So the independent variable could look at the budget or the amount of times students get in trouble etc.