Highlights
For this assignment, you are required to use the provided dataset to create, test, and answer research questions and hypotheses. You will need to use the skills learned in the first half of the semester to screen and prepare your data for analysis (univariate description of sample, research variables, index) and the skills learned in the second half of the semester to test your hypotheses (bivariate and multivariate results). Please complete this assignment on your own – collaboration on assignments is not permitted.
Your assignment will require you to complete the following 3 sections:
Section 1: Provide a univariate descriptive overview of your sample and any variables analyzed
It’s important to know who you’re conducting your hypothesis tests with and what your data looks like before you begin to test it. Using what you learned in the first half of the semester, provide a maximum four-page descriptive summary of (a) ALL sample demographic variables (who is in your sample, what does your sample look like?) and (b) any other variables used in your hypothesis tests. In other words, run the appropriate univariate analysis (using frequency, descriptive, or explore, depending on the LOM) to produce and describe the appropriate descriptive statistics (mode, median, mean, standard deviation, min, max, skew, kurtosis, normality of distribution/outliers as relevant based on the LOM).
If you do any recoding of data, or make any changes to the variables, you must include an explanation of what you did and why as part of your summary. You are NOT expected to recode data that is not normally distributed – you should acknowledge, with statistics and when appropriate, whether your data is normally distributed and if it is not, why that might be (where are there outliers, how many?) but unless it’s a clear coding error, you are not required to deal with any outliers. I am not expecting that your data be normally distributed for this assignment, but I am expecting that you show me that you know when and how to check for this, and what might be causing it.
You need to provide at least ONE graph as part of this summary – use this wisely, for example, when your variable has multiple attributes that can be efficiently summarized using a graph. Make sure to think about LOM when selecting your graph, and include an informative title about the variable.
It is expected that this section be a WRITTEN summary, similar to what you might see in a published research report or journal article. Do not just give me a bullet point summary.
Section 2: Index
You are required to properly (as shown in lab) compute and analyze at least ONE index in this assignment. In the section of your assignment, go into a detailed summary of your index. For example, what concept is being measured, which variables are you working with, how are they measured, what
steps did you need to take before creating your index, what does your index look like once computed? Make sure to give your index a descriptive name and refer to it using this name throughout your written assignment. Your mark on this section will be based on the quality of description about the concept being measured by your index, creation of an accurate and appropriate index, following the appropriate steps to create and review your index, and your statistical description of your index.
Section 3: Bivariate and Multivariate Hypothesis Testing
You will need to conduct ONE of EACH of the following hypothesis tests – each is graded out of 5, except for multiple regression, which will be graded out of 10.
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