Assignment Task
Instructions
1. Refer to the relevant mock UN SDG-specific Master Dataset (in Excel format) via the Blackboard “Assessments” tab and copy that Excel file as a SPSS Master Dataset by following the steps outlined in this video by Andy Field:
2. Once you have the Master Dataset saved in SPSS format, you will extract only the relevant data from that SPSS Master Dataset and save it as your own poster dataset to perform statistical analyses that answer your proposed research hypothesis and create a poster of your own. Do not manually extract data on the Excel data because it is not time-efficient.
3. As you extract the relevant data to create your own dataset for analyses, you will need to provide descriptions, create labels and/or values, set the type of the variables, etc based on the ‘data dictionary’ from the Excel Master Dataset. You may have to ‘select cases’ to exclude either irrelevant data (e.g. score outside a certain acceptable range), or non-sensible data that were incorrectly entered
Key information
- Poster (see the template on page onwards) needs to be prepared in a formal academic style of writing, referenced in-text where appropriate and have a logical order and be clear and coherent.
- Methods applied to perform the statistical analyses need to be outlined clearly and able to inform the readers to reproduce the descriptive and inferential statistics. You need to also submit appendices: (i) a hand-written step-by-step guide you took to perform the statistical analyses and (ii) screenshots of your key outputs from SPSS)
- Results are illustrated clearly in tables/figures. Specifically, there needs to be a simple participant characteristic descriptive table (or figure) and another table summarising the key findings of the inferential statistics you performed. Do not copy and paste the SPSS outputs directly, but present them in a format similar to the results you read in published journal articles. Interpretation of the key finding(s) need to be briefly noted in a sentence or two and related to and supported by current literature whilst considering limitation of your statistical approach (if any)
