Analysing Quantitative Data. Raymond A Kent
have on the validity of the data?
3 What are the key circumstances in which missing values might be a severe problem for the data analyst?
4 Open IBM SPSS on whatever system you are using and enter the nine key variables for the first 12 cases for the alcohol marketing dataset that are illustrated in the next chapter in Figure 3.1. The procedures for doing so are explained in Box 2.1.
5 Figure 2.10 shows the total scores for the importance of well-known brands in choosing products. Try creating class intervals in various different ways using SPSS. The procedures for doing so are explained in Boxes 2.2 and 2.3.
6 Go to the website www.surveyresearch.weebly.com. Here you will find lots of interesting information about social surveys created by John Hall, previously Senior Research Fellow at the UK Social Science Research Council (1970–6) and Principal Lecturer in Sociology and Unit Director at the Survey Research Unit, Polytechnic of North London (1976–92). Download the Trinians dataset. Select Survey Unit, Social Science Research Council, then Surveys by SSRC Survey Unit and then the ‘Trinians’ survey. Read the background to the survey, download the article in Folio and the questionnaire. Finally download and save the dataset from trinians.sav onto your SPSS file. Not all the questions in the questionnaire appear as variables and they are not all in the same order as in the questionnaire, but the question numbers are clearly marked. Check out the values being used from the Values column. Under Measure, they are all indicated as Scale. This is the default if researchers do not change any of these. Go down the variables and change to Ordinal or Nominal as appropriate (left click on Scale and the other two options will appear).
Further reading
Cragun, R. (2013) ‘Using SPSS and PASW’, Wikibooks. Available at http://en.wikibooks.org/wiki/Using_SPSS_and_PASW.
A useful (and free) wiki book giving a series of mini SPSS tutorials. For this chapter, have a look through the section on basic operations.
De Vaus, D. (2002) Analyzing Social Science Data: 50 Key Problems and Data Analysis. London: Sage.
Parts One and Two give quite detailed answers to frequently asked questions about data preparation in the form of 15 problems like ‘How to code answers with multiple answers’.
Diamantopoulos, A. and Schlegelmilch, B. (1997) Taking the Fear Out of Data Analysis. London: Dryden Press. Republished by Cengage Learning, 2000.
Chapter 4 is about data preparation and transformation, but beware that the image of a data matrix is rather dated and does not look like an SPSS matrix.
Suggested answers to the exercises and questions for discussion can be found at the end of this text, pp. 293–321, and on the companion website, (https://study.sagepub.com/kent), which also give links to relevant free online Sage journal articles, PowerPoint slides, an overview of data analysis packages, an introduction to SPSS and weblinks to alternative datasets.
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