Write about the data with your interpretation

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Reference no: EM131613555

Scenario 1 -

Ha: Individuals with a higher level of education are more likely to have a higher socioeconomic status because they will have more job opportunities at higher salary levels.

Ho: Level of education and socioeconomic status are independent.

Table 1: Socioeconomic status by level of education

 

HS or less

Some college

Bachelor +

Low class

32%

25%

15%

Working class

44%

33%

21%

Middle to upper class

34%

45%

63%

 

 

 

 

Total N

267

150

904

N = 1,321

Spearman's rho = 0.354

Chi square (p < .001)

MOE = +/- 2.7%

Base on these statistics, answer these questions and provide a brief explanation.

  • Are there a sufficient number of observations in every column to interpret all columns (N > 100)?
  • Are you able to reject the null hypothesis?
  • Does your hypothesis appear to hold at all values of the DV? In other words, does a association exist when comparing the IV values across the rows?
  • Are the observed differences greater than the MOE when you compare the endpoints of the IV across the row?
  • Since the IV is not nominal, did you observe a monotonic relationship at all values of the DV (Yes) or select No if you observed different patterns?
  • Is the relationship moderate to strong?
  • Is the direction of the relationship moving in the direction hypothesized?
  • When a hypothesis appears to hold, researchers add validity to their findings by citing the literature that theorized the expected outcome when they report their findings.
  • When a hypothesis holds where a clear pattern and strong existence of an association appears, researchers do not have to be concerned about a confounding variable (a third omitted variable) that may be producing a spurious outcome?

Scenario 2 -

Ha: Individuals with a higher level of education are more likely to have a higher personal health rating as they will make more informed decisions about their health and well-being.

Ho: Level of education and personal health rating status are independent.

Table 2: Personal health rating by level of education

 

HS or less

Some college

Bachelor +

Excellent

29%

36%

43%

Good

48%

51%

45%

Fair to poor

25%

24%

13%

 

 

 

 

Total N

645

90

304

   N = 1,039

Spearman's rho = -0.178

Chi square (p < .05)

MOE = +/- 3.0%

Based on these statistics, answer these questions and provide a brief explanation.

  • Are there a sufficient number of observations in every column to interpret all columns (N > 100)?
  • Are you able to reject the null hypothesis?
  • Overall, does your hypothesis appear to hold at all values of the DV? In other words, does an association exist when comparing the IV values across the rows, with NO exceptions?
  • Are the observed differences greater than the MOE when you compare the endpoints of the IV among those who report "excellent" and "fair to poor" health?
  • Given this observation about the MOE, do the statistics suggests that your hypothesis generally holds with limited exceptions.
  • Since the IV is not nominal, did you observe a monotonic relationship at all values of the DV (Yes) or select No if you observed different patterns?
  • Is the relationship moderate to strong?
  • Is the direction of the relationship generally moving in the direction hypothesized, with one exception?

Write about the data with your interpretation and your answers to the analytical question above.

Scenario 3 -

Ha: Individuals with a higher level of education are more likely to support providing birth control to minor since public health knowledge is more available and promoted through educational institutions.

Ho: Level of education and views on birth control are independent.

Table 3: Views about providing birth control to minor by level of education

 

HS or less

Some college

Bachelor +

Strongly agree

23%

21%

26%

Agree

31%

28%

36%

Disagree

23%

26%

25%

Strongly disagree

16%

14%

16%

Total N

267

50

404

N = 1,321

Spearman's rho = 0.009

Chi square (p = .65)

MOE = +/- 3.6%

The goal of this assignment is to create an analysis plan for your final paper.

You must choose three variables and propose two hypotheses to test. You may choose from two models:

Model 1: Two IVs and one DV

Model 2: One IV and two DV

Your analysis plan must consist of four parts. Please complete each part below so that we may provide feedback in your mandatory design meeting.

For this module assignment, you will use the HSCS dataset available on Sakai.

You may ONLY select those variables highlighted in the HBSC codebook for your Design Plan - Unhighlighted variables ARE NOT included in the dataset.

The dataset is very robust enhancing the research questions that may be explored by our student research teams. As such, we recommend that you carefully review the full codebook in order to understand the goals and topical areas explored in the primary research.

This is a new dataset we have not used this semester.

Although you are submitting this assignment on an individual basis, you are able to use this submission to inform your team submission, including the same variables you selected for this assignment if your teammates agree.

Assignment File -

https://www.dropbox.com/s/t0v5q79q65m9pt4/Desktop.rar?dl=0

Reference no: EM131613555

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Reviews

len1613555

8/25/2017 3:33:37 AM

Topic: Research Methods. There should be 10 pages total including the instructions page. What is your research topic under study? This should be posed as a question, but reflect the broader concept you are studying. Review the lecture slides to find examples of strong research questions: Research Question Tip Slides. Be sure your research question is informed by theory (the literature.)

len1613555

8/25/2017 3:33:28 AM

State your hypotheses, complete with statements of logic, about why these variables (concepts under study) should be related. Again, be sure your hypotheses are informed by theory (the literature.) You do not need to cite the literature for this assignment, but a cited literature review is one of the requirements for your Final Paper submission. You should write separate hypotheses for each pair of variables; (i.e., each hypothesis should contain one W and one DV.) In writing your hypotheses, describe the concepts your studying -- not the specific variables you are using to measure these concepts.

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