PORTFOLIO PROJECT: Relations hip among Variables

In the Portfolio, you will explore the relationship between lockedup (the dependent variable) and two independent variables you choose from the secondary data 2012GSS.sav , found in the Data Set folder under Course Information.

Establish two research hypotheses and remember that each is paired with a null hypothesis. Both of your research hypotheses predict the association between an independent variable and the variable lockedup (ever prisoned or jailed). Choose your two independent variables from the following list:

• Degree or Edu (Choose only one of them. Each is measured differently.)
• Race
• Realrinc—Respondent’s Income In Constant Dollars
• Evcrack—Ever used crack cocaine

Portfolio Components

The Portfolio should include the following components in this order:

1. Introduction: Provide a brief discussion about the purpose of your paper. Include here your research question, the research and null hypotheses, variables, the kind of data used for the analysis, and analytical method(s).
2. Method:
   1. Data Source: Provide a brief introduction, in about half a page, of the GSS data in terms of:
      • Who collected the data;
      • The purpose of the data collection;
      • Data collection method (for example, it may be experimentation, self-administered survey, personal interview, or existing data);
      • The study population (i.e., who does the sample represent?);
      • Sampling in terms of sample type (probability/random or none probability/non-random); and,
      • Sample size (see 2.2 – 2.5 in the textbook).
   2. Variables: Describe the variables in your hypotheses, the meaning of each variable, and each variable’s measurement. (Is it a quantitative or qualitative variable?)
   3. Null hypothesis and alternative hypothesis: Describe your hypotheses.

Findings

1. A summary report of how the demographic variables ( age , income , race , sex , and Education ) are distributed between the two groups of Lockedup ). Insert the summary table, created in Word, with summary statistics as you did in Discussion 4.)
2. Report the findings of your bivariate analysis: This is based on the variable measurement in each hypothesis, including difference (e.g., group means or percentages, statistical test and significance level, effect size, and direction).
3. Conclude whether the findings are significant enough to reject the null hypothesis. Label each of your tables with a sequential number and insert it following the corresponding report text. The conclusion about your null hypothesis should follow the report of the test findings.

Price: $22.09

Solution: The downloadable solution consists of 12 pages, 1009 words.
Deliverable: Word Document