Expert Statistician for Doctoral-Level Academic Data Analysis
Budget: $250 – $750 AUD
I am looking for a skilled statistician with a mixed methods approach, who can help me with data analysis for my doctoral-level academic project. This involves cross-section quantitative surveys and an interpretive design for focus groups and questionnaires.
Key Requirements:
- Proficiency in SPSS and Nvivo
- Experience in quantitative and qualitative methods
- Ability to analyze data from a large sample size (more than 100 participants)
PROJECT DETAILS:
-I need a mixed methods statistician who can undertake data analysis for a doctoral-level academic project. This convergent mixed method approach has the following:
- The quantitative section is a survey with approximately 150 questionnaires. A cross-section design will be used via SPSS to calculate the following: univariate descriptive statistics, student t-test and bivariate analysis using contingency tables, chi-test and logic regression. The qualitative section has 7 interviews and 6 focus groups. Interpretive design is to be used for the qualitative data analysis. Framework analysis using CADQAS(Nvivo) is required.
-No bots, please. Please read carefully and ensure competency in the provided details before placing bids. More details will be provided on request. Thank you
Ideal Skills and Experience:
- A background in statistics or nursing research.
- Proven experience in mixed methods research
- Previous experience with academic data analysis, particularly for a doctoral-level project, would be an advantage.
Please include in your proposal any relevant experience you have in these areas.
Key Requirements:
- Proficiency in SPSS and Nvivo
- Experience in quantitative and qualitative methods
- Ability to analyze data from a large sample size (more than 100 participants)
PROJECT DETAILS:
-I need a mixed methods statistician who can undertake data analysis for a doctoral-level academic project. This convergent mixed method approach has the following:
- The quantitative section is a survey with approximately 150 questionnaires. A cross-section design will be used via SPSS to calculate the following: univariate descriptive statistics, student t-test and bivariate analysis using contingency tables, chi-test and logic regression. The qualitative section has 7 interviews and 6 focus groups. Interpretive design is to be used for the qualitative data analysis. Framework analysis using CADQAS(Nvivo) is required.
-No bots, please. Please read carefully and ensure competency in the provided details before placing bids. More details will be provided on request. Thank you
Ideal Skills and Experience:
- A background in statistics or nursing research.
- Proven experience in mixed methods research
- Previous experience with academic data analysis, particularly for a doctoral-level project, would be an advantage.
Please include in your proposal any relevant experience you have in these areas.