PhD SPSS & SmartPLS Analysis
Budget: $250 – $750 USD
I have a quantitative dataset that needs to be explored in both SPSS and SmartPLS 4. The project involves running a full suite of descriptive statistics in SPSS (frequencies, measures of central tendency, dispersion, normality checks, basic graphs) and then modelling the same variables in SmartPLS 4 to obtain path coefficients, loadings, AVE, CR, HTMT, R², model fit indices, and bootstrapped significance levels.
What I need from you
- Complete, fully labelled SPSS output (*.sav + *.spv).
- The SmartPLS 4 project file and exported reports (HTML/PDF).
- Tables with figures and citation - APA7
- A concise Methodology write-up (roughly 1,000–1,500 words) that details interpretation of key findings—written in clear academic language suitable for inclusion in a PhD dissertation.
- Zero AI-generated or plagiarised text; every line must be your own scholarly work and will be checked with Turnitin.
Timing
Everything should be delivered within one month. Interim milestones are welcome so I can review preliminary outputs and request clarifications early.
Acceptance criteria
1. All analyses replicate without errors when I reopen the provided files.
2. The narrative follows APA 7th guidelines for tables, figures and citations (if any).
3. Results reported in the write-up match the numerical values in the output files.
If you’re comfortable working in both SPSS and SmartPLS 4 and can articulate methods at doctoral level, I look forward to collaborating.
What I need from you
- Complete, fully labelled SPSS output (*.sav + *.spv).
- The SmartPLS 4 project file and exported reports (HTML/PDF).
- Tables with figures and citation - APA7
- A concise Methodology write-up (roughly 1,000–1,500 words) that details interpretation of key findings—written in clear academic language suitable for inclusion in a PhD dissertation.
- Zero AI-generated or plagiarised text; every line must be your own scholarly work and will be checked with Turnitin.
Timing
Everything should be delivered within one month. Interim milestones are welcome so I can review preliminary outputs and request clarifications early.
Acceptance criteria
1. All analyses replicate without errors when I reopen the provided files.
2. The narrative follows APA 7th guidelines for tables, figures and citations (if any).
3. Results reported in the write-up match the numerical values in the output files.
If you’re comfortable working in both SPSS and SmartPLS 4 and can articulate methods at doctoral level, I look forward to collaborating.