SPSS Demographic Significance Analysis
Budget: €30 – €250 EUR
I have four Excel workbooks that together hold responses to a 29-item Likert questionnaire—five of the items capture demographic information and five capture key outcome variables I need to study. I want the data imported into SPSS, and analysed with independent-samples T-tests so I can see whether each of the five demographic variables shows a statistically significant difference on each outcome item or whether the results are independent of demographic factors.
You will:
• Clean and combine the four spreadsheets, creating a single, well-structured .sav file.
• Write clear SPSS syntax (.sps) that runs the required T-tests, includes checks for normality and equal variances, and labels output tables.
• Deliver the output file and a short, reader-friendly summary (PDF or Word) that interprets p-values and effect sizes for every demographic-outcome pairing, noting any assumptions that were not met and suggesting alternatives where needed.
I will count the job complete when I can open the .sav, rerun your syntax without errors, and see the results explained plainly enough to copy straight into my report.
You will:
• Clean and combine the four spreadsheets, creating a single, well-structured .sav file.
• Write clear SPSS syntax (.sps) that runs the required T-tests, includes checks for normality and equal variances, and labels output tables.
• Deliver the output file and a short, reader-friendly summary (PDF or Word) that interprets p-values and effect sizes for every demographic-outcome pairing, noting any assumptions that were not met and suggesting alternatives where needed.
I will count the job complete when I can open the .sav, rerun your syntax without errors, and see the results explained plainly enough to copy straight into my report.