Module 5 – Case/ Univariate versus Bivariate Analyses; Regression.

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August 8, 2017
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Module 5 – Case/ Univariate versus Bivariate Analyses; Regression.

Module 5 – Case/ Univariate versus Bivariate Analyses; Regression.

Case Assignment
Using the materials in the module homepage and in the background section, please address the following:
1.    What is the difference between “univariate” and “multivariate” analyses? (1 page)
2.    Define and contrast dependent versus independent variables. (1 page)
3.    Describe the difference between logistical regression and linear regression. What types of variables are used for the dependent variable? (1 page)
Assignment Expectations
Length: Case Assignments should be at least 3 pages (750 words) in length.
References: At least two references must be included from academic sources (e.g. peer-reviewed journal articles). Required readings are included. Quoted material

should not exceed 10% of the total paper (since the focus of these assignments is critical thinking). Use your own words and build on the ideas of others. When

material is copied verbatim from external sources, it MUST be enclosed in quotes. The references should be cited within the text and also listed at the end of the

assignment in the References section (APA format recommended).
Organization: Subheadings should be used to organize your paper according to question
Format: APA format is recommended for this assignment. See Syllabus page for more information on APA format.
Grammar and Spelling: While no points are deducted, assignments are expected to adhere to standards guidelines of grammar, spelling, punctuation, and sentence syntax.

Points may be deducted if grammar and spelling impact clarity.
The following items will be assessed in particular:
•    Achievement of learning outcomes for Case Assignment.
•    Relevance—all content is connected to the question.
•    Precision—specific question is addressed; statements, facts, and statistics are specific and accurate.
•    Depth of discussion—points that lead to deeper issues are presented and integrated.
•    Breadth—multiple perspectives and references, multiple issues/factors considered/
•    Evidence—points are well-supported with facts, statistics, and references.
•    Logic—presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information.
•    Clarity—writing is concise, understandable, and contains sufficient detail or examples.
•    Objectivity—use of first person and subjective bias are avoided.

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