Hello! I need help with the statistical analysis of a small dataset that I'm working with for a research paper. There is one independent variable (binary) and four dependent variables. We have run linear mixed models on Google Colab to study the relationship between these, along with the effect sizes for two significant interactions that we found. We have also briefly written our interpretation of the output produced. However, as students, we are not sure if we ran the models correctly and if they are accurate.

We need someone who has knowledge and experience (preferably both in Data Analysis and research) to:

- Review if the models fit our dataset
- Review if the models were ran correctly and if the p values are accurate
- Correct any errors so that we have accurate results or if there are no errors, give us the thumbs up to proceed forward
- Review our conclusion to check if our interpretation of the models is correct or not (or if we missed something)

Please reach out if you're available! We're on a bit of a time crunch so we'd need this on 15th April at the maximum.  

What we have done so far and our interpretation will be shared but for now, here's a look at the dataset we have: https://docs.google.com/spreadsheets/d/1uNXeJ5c0DheFxZDutsto2mGslsj8qRAzXrtVtiyBcF8/edit?usp=sharing

Optionally, it would be great if you could mention how you would personally approach this in your proposal. Our goal is to investigate whether the independent variable, stage, has any significant relationships with overall score, visual memory, numerical memory or spatial reasoning.

Budget: $25
Posted On: April 07, 2023 02:09 UTC
Category: Data Analytics
Skills:Python, Data Science, Data Analysis, Statistics, Python Scikit-Learn, Machine Learning, Statistical Analysis, Linear Regression
Country: United Arab Emirates
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