1. CHAPTER 9 Collecting and recording quantitative data

2. Learning outcomes Consider how quantitative data can contribute to your investigation Discuss different types and purposes of surveys Design and evaluate an effective survey instrument Collect, organise and store quantitative data effectively Describe and present a summary of the data you have collected Collecting and recording quantitative data

3. Influences on sample size

4. The sample selection process

5. Simple random sampling Systematic sampling Stratified sampling Cluster sampling Sample selection methods

6. Open or closed questions Nominal scale data Category scales Biographical/situational data (eg gender, business unit) Ordinal scale data Shows greater or lesser amounts of something ‘Distance’ between points is not necessarily equal Interval scale data Distance between points is known and the intervals represent equal quantities Ratio scale data Measurements with a ‘zero’ (eg time, test scores) Question structure

7. Initial request/instructions Questionnaire layout/appearance Survey questions – clear for respondents – logical sequence Final thanks/return arrangements Effective survey design

8. General layout and features Page/screen features Buttons/check boxes Drop-down boxes Text input options Confidentiality/anonymity Web-based survey design

9. Web-based survey: simple matrix structure

10. Stages in survey design and distribution

11. Options: – Postal, self-administered – Delivery and collection questionnaire – Telephone interview – Face-to-face interview – Email survey – Web-based survey Administering and delivering surveys

12. Collecting and organising data

13. Data display

14. Normal curve of distribution