https://www.oecd.org/pisa/publications/pisa-2018-results-volume-iii-acd78851-en.htm

https://www.oecd.org/pisa/publications/pisa-2018-results-volume-iii-acd78851-en.htm


1 SOCI4022 Assignment 2 April 2023 Technical notes for submission: Your assignment should consist of a PDF document where tables are formatted according to APA standards and guidelines. I will not accept the SPSS Output as a display of your results. You will be evaluated for how you selected the important parts of the SPSS output, and how you formatted them into tables or graphs and discussed them. Discuss the results substantially: rigor in discussing statistics, and clear narrative when it comes to talking about what these statistics mean. Build up a coherent and engaging story that you must communicate effectively. Take the time and space that you need to achieve these goals. To submit on D2L: • Video • PPT of the video • Assignment (PDF) • Syntax file Instructions (please read carefully) Assignment 2 is about describing data with basic statistics and graphs, comparing groups, and discussing results in meaningful ways. Moreover, it dives into correlation, simple and multiple linear regression. In this assignment, you will be assigned a country from the PISA 2018 international dataset. The assignment consists of two analytical parts, and one presentation. Part 1: Use the syntax from Assignment 1. Use it to describe the sample of your country and to study inequalities in reading, sense of belonging, and intensity of bullying between groups of students from different socioeconomic status. This involves two things: a) You can disregard analyses involving comparisons between sexes b) You must pay attention to the cut-off point to determine whose has low socioeconomic status and who does not. The cut-off point for lowses is country- specific. Compare the results from your country-specific analyses with what you obtained in Assignment 1 for Canada. Include also reference to OECD benchmarks. Part 2: 2 For your country only, run three regression models: a) Reading scores as a function of socioeconomic status (as lowses or ESCS standardized) b) Reading scores as a function of socioeconomic status (as lowses or ESCS standardized) and sense of belonging c) Reading scores as a function of socioeconomic status (as lowses or ESCS standardized) and sense of belonging and intensity of bullying experience. Present the three models in a single table (as per Week 10 example), and comment on the results, focusing on the changes of the coefficients from model to model, and offering a clear interpretation of intercepts and slopes for each model. Conclude Part 2 with a summary paragraph. Presentation: Using a PPT with four slides maximum, present on a 15 min max video: 1) Comparisons between Canada and your country in terms of inequalities in reading skills, sense of belonging, and bullying experience between groups of students (poorer vs richer students) 2) A regression-based narrative of the relationships between reading skills and sense of belonging, bullying and socioeconomic status. The video should show the slides and yourself (with or without focus on your face) presenting the material. Reminders of helpful tools on data visualization: Storytelling with data. http://www.storytellingwithdata.com/chart-guide How to Tell a Great Story. https://hbr.org/2014/07/how-to-tell-a-great-story Ebook available at the HIL: Knaflic, C. (2015). Storytelling with data : A data visualization guide for business professionals. Hoboken, New Jersey: Wiley. (2015). http://www.storytellingwithdata.com/chart-guide https://hbr.org/2014/07/how-to-tell-a-great-story SOCI4022 Assignment 2 April 2023 Technical notes for submission: Instructions (please read carefully) Storytelling with data. How to Tell a Great Story. Ebook available at the HIL: