Completed

Data Analytics, Statistics and Descriptive Summary for academic journal

I have an academic journal article partially written. It is aimed at high level peer reviewed journal in management. I have data set to go with article. I have much of literature review written and all hypotheses written. There are a LOT of hypotheses in this paper.

You will need expert in SPSS, LISREL and/or AMOS type software.

Here is what you will need to do for this project:

1. You will need to do ALL statistical inferences to fit with high level operation management journal. I will tell you the specific journal. You can then investigate the type of tables used in this journal.

2. Methodology. You will need to write and explain this part. Your thoughts need to be complete. I can assist in editing with grammar and citations but again complete reference to all the tables, charts, statistics etc... should be done. Make sure all inferences are clear and understandable

3. Conclusion. You will need to write part of the conclusion. You will write part based on summarizing the finding of the hypotheses based on the data analyses (accept or not accept each hypotheses).

4. I will review paper once you submit final copy. revisions may be required. only after revisions are approved will milestone be released.

5. You will need to use many different tables. Likely at least 10, maybe up to 20. These tables will have data inserted from software and then formatted to fit into Word file. you will want to label each table as you will need to explain the significance of each table in the methodology and conclusion.

I will send several sample blank table templates that you may like to use, but this is up to you. You will be require to research what is best to use.

This will be very high level statistical type regression analysis or modeling. Not simple correlation type analysis.

Message with questions.

Skills: Report Writing, Research Writing, SPSS Statistics, Statistical Analysis, Statistics

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About the Employer:
( 73 reviews ) Lumberton, United States

Project ID: #17877500

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Mendeznatera

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