Research Methods Assignment 2: Data Analysis The report for each question must include: A results section


Research Methods

Assignment 2: Data Analysis

The report for each question must include:

  1. A results section as you would write it in an article. This results section may include any figure(s), diagram(s) or table(s) that you deem necessary to report the findings.
  2. A "discussion" section in which you interpret the results. Note that this section will not be a proper discussion section in that it will be only include interpretation of the results in light of the research question but it will not include the discussion of the results in light of previous research, nor will it include discussions of methodological limitations.

You will submit a document with each of the answers and an output file including the output (clearly labelled) for each of the analyses you conducted.

Each question will be marked according to the following criteria:

  • Correctness of analysis. Note that your analyses should include all assumption tests or search for outliers that can be done within that analysis in SPSS. For example, if you are doing a regression, you can ask SPSS to give you information so you can assess (a) normality of residuals, (b) homoscedasticity and linearity of the relationship of residual and predicted values, (c) identification of multivariate outliers, and (d) tests of multicollinearity. If you are using PROCESS, you will have to run the regression in SPSS to get this information. Thus, while you are not expected to run assumption tests at the individual variable level, your output should include the information necessary to test analysis-specific assumptions. Also, your write up should make reference to the assessment of these assumptions (whether the assumptions were met or not).
  • Completeness of statistical information provided in light of the chosen analysis and research question. For example, if you were reporting a hierarchical regression, you would be expected to provide the relevant descriptive statistics, change statistics as well as individual model information.
  • Correctness of interpretation of the results.
  • Clarity and succinctness of the write up, which is expected to be free of typos.
  • APA style. This includes headings and subheadings, when applicable, as well as table/figure formatting and captioning, and statistics reporting.


Question:

A researcher is interested in determining the extent to which beliefs about smoking can predict the likelihood of relapse after a quit smoking program. She has measured beliefs about whether smoking is addictive, whether quitting aids are helpful and whether smoking harms health in a sample of 280 individuals 6 months after the quit smoking program.

  • Data for this question can be found in Question3.sav
  • The file includes the variables below. For all belief variables, higher score in the variable indicates higher endorsement of that belief.
    1. Gender
    2. Smoking status (whether participants relapsed)
    3. Friends who smoke (ordinal variable)
    4. Beliefs about addictiveness of smoking
    5. Beliefs about helpfulness of alternatives (quitting aids)
    6. Beliefs about harmfulness of smoking


Price: $10.56
Solution: The downloadable solution consists of 6 pages, 456 words.
Deliverable: Word Document


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