Question: Week 4 Assignment For this assignment, you will take a deep dive into finding and analyzing secondary data. Requirements for the Secondary Data Set The

Week 4 Assignment

For this assignment, you will take a deep dive into finding and analyzing secondary data.

Requirements for the Secondary Data Set

  • The secondary data you use for this assignment must be real data that is freely available online. Fictitious and simulated data is not allowed. In addition, the data cannot come from an already analyzed data set used in this course or another course (at UC or found online).
  • The secondary data set you select has to be large enough for a valid analysis. For example, for a correlation, linear regression, multiple linear regression, independent samples t-test, ANOVA, or MANOVA, you would need at least N = 30 for each group (so 30 rows of data).
  • Note: Information on how to find secondary data can be found in the "Exploring and Finding Secondary Data" folder in Week 4.

Information needed for APA-style paper:

  1. Title page
  2. Provide information about the data set, including an APA style in-text citation and reference for the data set.
  3. Write a well-articulated RQ that addresses the data set.
  4. Identify the variables used in the research question, including the following:
    1. Variables (ex: gender, GPA, IQ)
    2. Are the variables numeric or categorical (ex: Gender is categorical; GPA & IQ are numeric)
    3. If the variable is categorical, then provide the categories/groups that make up that variable (ex: For gender, the groups would be female, male, and other)
    4. If the variable is numeric, then provide the range of possible values (ex: GPA is the person's GPA score, IQ is the person's IQ score)
  5. Correctly worded hypothesis (null & alternative)
  6. What statistical test should be used to analyze this hypothesis, and why is that test the most appropriate? Include an APA-style in-text citation to support your use of this test for your research question.
    • Statistical Test Options: Chi-square, Correlation, Spearman correlation, Independent samples t-test, ANOVA, Linear Regression, Multiple Regression, MANOVA. [Note: You can only use one of these tests for this assignment unless you get permission from the instructor.]
    • Remember, the statistical test has to match the type of variables you have. Ex: You cannot do a multiple regression between gender, GPA, and IQ because gender is categorical. For a multiple regression, you need three numeric variables. Instead, you could do a MANOVA because there is a categorical variable with three groups and two numeric variables.
  7. Results -- Conduct the statistical analysis using JASP and write up the results in the correct APA format.
    • APA formatted results per the information provided in our course.
    • If needed, and depending on the statistical test used, include any additional results (ex: Shapiro-Wilk, Box's-M, Durbin-Watson, etc.).
    • If needed, do any follow-up post hoc tests and include the results (ex: Tukey post hoc for ANOVA, MANOVA).
  8. Conclusion -- What are the overall findings of your research question?
  9. Reference Page --
    • Make sure to clearly reference the data set used for this project. Failure to identify where the data came from will result in a significant point reduction and could result in a zero on this assignment.
    • Also include a reference for the source used to support the choice of test.

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