I have completed an analysis on my own and created a research question answering all below. I need a tutor to do the following: 1) Use SPSS to do all the following calculations per the attachment...

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I have completed an analysis on my own and created a research question answering all below.


I need a tutor to do the following:


1) Use SPSS to do all the following calculations per the attachment provided and use APA 7 Format to label all figures and tables as provided in the examples for chapter 9 mediation or chapter 7 multiple regression. I will need a reference list no older than five years


Limited 2-3 page paper on
multiple regression moderation or mediation analysis


1) construct a research question that can be answered with a moderation or mediation multiple regression analysis.



2) address all the assumptions for multiple regression.



3) compose a research question that can be answered through multiple regression analysis.



4) For the research question you created, choose either moderation or mediation in your multiple regression analysis techniques.



5) Fit the model, testing for moderation between two key variables.



6) Analyze the output, determine whether moderation was significant, and interpret that result.



7) Reflect on possible implications for social change.



8) A description of the research question, hypotheses, and variables, including the type of variable (independent, dependent, mediating/moderating) and level of measurement (categorical, ordinal, continuous).



9) Here are the resources I used for my work.



The analysis should be in APA format, including a title page, references, and an appendix, which includes the SPSS data output.



Note: For an APA-compliant write-up of these types of analyses, refer to



Warner, R. M. (2021).Mediation. InApplied statisticsII:Multivariable andmultivariate techniques(3rd ed., pp. 289–308).



The APA-compliant write-up is found on pages 305–306.



OR



Warner, R. M. (2021).Moderation: Interaction in multiple regression. InApplied statisticsII:Multivariable andmultivariate techniques(3rd ed., pp. 215–253).



The APA-compliant write-up is found on pages 242–243.



Appendices:



https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/footnotes_appendices.html



Please see an example of what was provided in the book by Warner R. in this attachment.


Please also do not forget to label all figures and tables according to APA 7 format.



APA format for all tables, figures and references have to be no more than 5 years

Answered Same DayApr 08, 2022

Answer To: I have completed an analysis on my own and created a research question answering all below. I need a...

Mohd answered on Apr 09 2022
100 Votes
Mediation Analysis:
We have conducted “mediation analysis” in four Phases. Each Phase has validated one hypothesis
Explanatory variable or independent variable: Age of Respondent
Response variable or dependent variable: Heart Attack (Ever Diagnosed)
Mediator variable: Sk
in Cancer
Phase 1: To evaluate direct effect between Age of respondents and Skin Cancer.
We have evaluated the total direct effect between Age of respondents and Skin Cancer.
We have used bivariate regression to evaluate the direct effect between Age of respondents and Skin Cancer. We have considered Skin Cancer as response variable or dependent variable and Age of respondents as explanatory variable or explanatory variable.
Phase2: To evaluate the direct effect between Age of respondents and Heart attack (Ever Diagnosed).
We have evaluated the total direct effect between Age of respondents and Heart attack (Ever Diagnosed). We have used simple bivariate regression to evaluate the direct effect between Age of respondents and Heart attack (Ever Diagnosed). We have considered Heart attack (Ever Diagnosed) as response variable or dependent variable and Age of respondents as explanatory variable or explanatory variable.
Phase3: To evaluate the direct effect between Heart attack (Ever Diagnosed) and Skin Cancer.
We have evaluated the total direct effect between Heart attack (Ever Diagnosed) and Skin Cancer. We have used multiple regression to evaluate the direct effect between Heart attack (Ever Diagnosed) and Skin Cancer. We have considered Skin Cancer as response variable or dependent variable and Heart attack (Ever Diagnosed) and Age of respondents as explanatory variables or explanatory variables.
Phase 4: To evaluate and test statistical significance of indirect effect (Sobel Test or Aroian test).
The hypothesis that some of the predictive effect of Age of respondents on Skin Cancer is mediated by Heart attack (Ever Diagnosed) was tested by performing three regression analyses, the results of which are shown in Table section Regression.
Model 1 Analysis:
In the first model shown in Table , Age of respondents significantly predicted the outcome variable of Skin Cancer, F (1, 2410) = 44.486, p < .001, R2 = 0.018, Adjusted R2 = 0.018; its unstandardized beta coefficient was 0.721 (SE = 0.081) and its standardized b coefficient was -0.003.
As per our first required hypothesis of skin Cancer is related to age of respondents. We have formulated the null and alternative hypothesis.
H0: " Skin Cancer is not related to age of respondents ".
H1: " Skin Cancer is related to age of respondents."
From the above model output the correlation between "skin cancer and age of respondents" is 0.135, which is positive, low and statistically...
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