RESEARCHING THE REAL WORLD



MAIN MENU

Basics

Orientation Observation In-depth interviews Document analysis and semiology Conversation and discourse analysis Secondary Data Surveys Experiments Ethics Research outcomes
Conclusion

References

Activities

Social Research Glossary

About Researching the Real World

Search

Contact

© Lee Harvey 2012–2019

Page updated 25 January, 2019

Citation reference: Harvey, L., 2012–2019, Researching the Real World, available at qualityresearchinternational.com/methodology
All rights belong to author.


 

A Guide to Methodology

8. Surveys

8.1 Introduction to surveys
8.2 Methodological approaches
8.3 Doing survey research

8.3.1 Aims and purpose
8.3.2 Background to the research
8.3.3 Feasibility
8.3.4 Hypotheses
8.3.5 Operationalisation
8.3.6 How will data be collected and what are the key relationships?
8.3.7 Designing the research instrument
8.3.8 Pilot survey
8.3.9 Sampling
8.3.10 Questionnaire distribution and interviewing
8.3.11 Coding data
8.3.12 Analysis
8.3.13 Hypothesis testing
8.3.14 Significance tests

8.3.14.1 Parametric tests of significance
8.3.14.1 Non-parametric tests of significance

8.3.15 Report writing

8.4 Summary and conclusion

8.3.14 Significance tests
This Section explains and illustrates the different forms of significance tests (of null hypotheses).

The principles of hypothesis testing have been explored in previous Sections, which involved using tests to see whether a claimed population mean is the same as the true population mean on the basis of the sample taken at random from the population. There are many more tests for different situations.

Section 8.3.14.1 examines parametric tests, which test parameters of samples, such as mean, proportion, standard deviation, correlation coefficient.

Section 8.3.14.2 examines some non-parametric tests, which test the overall distribution (shape) of a sample against another.

Next 8.3.14.1 Parametric tests of significance

Top