You will need to do some background reading on the topic and critically reflect on it. This task will also require you to analyse qualitative and/or quantitative data using appropriate techniques that we cover in the course, and, write up your findings in the format of a report.
This task will require you to write a reflection on using NVivo to analyse qualitative data as an appendix – no more than 350 words.
This task requires you to analyse quantitative data with SPSS to explore Australian social attitudes to social inequality from the International Social Survey Program (ISSP) in 2009. The ISSP is a cross-national social survey collaborative program that has involved 53 different countries (not all at once) since 1985. The annual topics for ISSP are developed over several years, piloted by a sub-committee in certain countries and then adopted at an annual plenary meeting.
There are many different ways that you might approach this task. But, you will need to do some background reading on the research topic and the ISSP dataset. In approaching the topic ‘social attitudes to inequality’, you might like to inform your hypotheses by reading social science literature on: social inequality in Australia; Australian social attitudes; and/or social attitudes to inequality (in Australia and similar countries). You should use NVivo to analyse the sources you consult when doing this background research and present a short literature review. Remember, quantitative data analysis largely follows a deductive logic, so we recommend that you use this background research to assist you in formulating hypotheses to test with the data. Once you have developed a few hypotheses, you might like to do some further reading on the ISSP and select variables for analysis. While this task requires you to use SPSS to analyse the ISSP data, please reflect on the experience of using NVivo to analyse the sources for the literature review.
We recommend that you use SPSS to undertake univariate and bivariate analysis of the social survey data where appropriate. Cross tabs and Chi-square tests are widely used when undertaking this type of analysis. Given the word limit, we advise presenting no more than four data tables and/or charts in total. Remember, data presented in tables or charts does not speak for itself and needs to be both introduced and discussed in the text of your paper. We are aware that this will involve some tough decisions about what to focus on.
Please do not use regression models with two or more variables. There is simply not the space to present, outline and discuss your findings.
Some suggested starting points:
(2016) ‘History of the ISSP’ International Social Survey Programme, accessed at:http://www.issp.org/page.php?pageId=216(Available 1/4/2016)
Evans, A. (2009) Australian Survey of Social Attitudes 2009, Questionnaire Version B (includes ISSP module on inequality), accessed athttp://aussa.anu.edu.au/questionnaires.php(Available 1/4/2016)
Western, M., Baxter, J., Pakulski, J., Tranter, B., and J. Western (2007) ‘Neoliberalism, Inequality and Politics: The Changing Face of Australia’, Australian Journal of Social Issues, 42(3) : 401-418.