“What am I being asked to do for this coursework?”
The purpose of the quantitative data analysis coursework is for students to demonstrate their understanding of correlational quantitative research methods encountered with a focus on multiple regression. You will have access to SPSS output containing a range of descriptive, diagnostic and inferential analyses (this is in the Quantitative Coursework folder Your need to draw on this material to write up a clear, concise results section centred around presenting a multiple regression analysis. You will also need to complete other report sections outlined below. These quantitative coursework guidelines provide guidance on writing up, suggested reading, marking criteria and a detailed description of questionnaire and SPSS file items (Appendix A).
“What is the background to the dataset?”
The output file you are working with reports analyses from an SPSS file containing responses from 486 young adults (aged 18-25 years) who were university students in the UK. Data was collected in 2015 for a broader research project on ‘predictors of young adult drinking behaviour’ and consists of responses from students studying at around 40 different Higher Education institutions based in the U.K. Please check the descriptive statistics in the output file for further details concerning the sample but note that reporting this information is only a very small part of what is required for this piece of assessment.
“How should I start this coursework?”
Examine the SPSS output, thinking about which material you should draw on for your report write-up. Then start to think about the sequencing of how you present the material – start with descriptive statistics but then focus on inferential statistics (full details on this are below). For your report, write up your analyses as if you were preparing a results section for an academic paper. Spend some time considering how results sections are conventionally presented (see the two example papers on Moodle for guidance with this). You may include a maximum of two tables. Be judicious in your decision-making: consider what information would be most useful to present and how information could be presented helpfully for your reader. Although you will not be running your own analyses for this piece of work, it may be useful to practice doing this (or refer to your SPSS output from practical sessions) to inform your understanding of how to interpret the output for this piece of assessment. Read the ‘frequently asked questions’ section of this guide (Appendix C) which should extend your understanding of how to approach specific aspects of the work.
Title (The title is not included in the word count.)
Add a ‘research findings’ type of title that reflects details of your methods, your sample, and your findings. A rather general example might be: “A survey of personality traits and psychological beliefs as predictors of health eating among British university students”
Rationale (300 words)
Outline prior research in this area referring to around 3-4 relevant similar studies. Then, build your study rationale: explain why this research is needed and how it connects with past research. Conclude this section with at least one hypothesis.
Measures (200 words)
You are not required to write a full methods section in your submitted report. There will not be space! The focus here is demonstrating your ability to summarise the measures used in your data analysis using a clear, conventional approach.
Results (600 words)
Begin with a very brief summary account of your sample, providing details of (for example) the sample age range. You should then proceed to provide an account of your reliability analyses to give a sense of the internal consistency of each scale. Then summarise output showing inferential data analyses and findings, perhaps starting with correlational analysis. Your report should then contain a statement concerning data diagnostics (e.g. assumed absence of multicollinearity) giving a sense of whether/how your data met the parametric assumptions of tests you will be using. Your diagnostics account leads into the heart of your report – providing a complete and coherent account of the multiple regression analysis/analyses presented in the output. Your account should take the reader through the different tests you used, and what statistical output from these tests revealed.
Discussion (250 words)
Re-state the focus of the study (e.g. what variables were involved) and summarise your study findings. Then, link these findings to 3-4 relevant records/articles (your selection of articles can include studies discussed in your rationale section but can also include other relevant articles/studies).
Limitations and extensions (150 words)
Discuss limitations of your methods and how the study/analyses could be extended in further quantitative or qualitative empirical work.
References (not included in word count)
Any references should be included in correct APA style (American Psychological Association) at the end of your report
Type of service: Academic paper writing
Type of Assignment: Lab report
Number of sources: 0
Academic level: Master’s
Paper format: APA
Line spacing: Double
Language style: UK English